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brainynbrightinc · 2 months ago

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Discover the Best Artificial Intelligence Course in New Jersey at Brainy n Bright

In today’s fast-evolving technological landscape, Artificial Intelligence (AI) is no longer a futuristic concept—it’s a present-day reality that is transforming industries and shaping the workforce of tomorrow. Whether you’re an adult aiming to boost your career with cutting-edge AI skills or a parent looking to introduce your child to the possibilities of AI, AI courses in New Jersey offer incredible opportunities. Brainy n Bright stands out as a premier institution providing comprehensive Artificial Intelligence courses for all age groups, including AI courses for kids in New Jersey. Let’s explore why Brainy n Bright is your go-to destination for mastering AI in New Jersey.

Why Take an Artificial Intelligence Course in New Jersey?

New Jersey is one of the most vibrant tech ecosystems in the United States. With its close proximity to major metropolitan areas like New York City and Philadelphia, New Jersey offers unparalleled access to AI-related industries, startups, and tech hubs. Enrolling in an Artificial Intelligence course in New Jersey opens the door to high-demand, well-paid careers in one of the most exciting fields of our time. Here’s why an AI education in New Jersey is an excellent choice:

1. Strategic Location with Growing Tech Opportunities

New Jersey is home to a thriving technology sector. Its proximity to major corporate hubs and emerging tech companies means that professionals with AI skills are in high demand. By enrolling in an Artificial Intelligence course in New Jersey, you gain the expertise needed to tap into the expanding AI job market, which spans industries from finance and healthcare to robotics and cybersecurity.

2. Hands-On, Real-World Learning

At Brainy n Bright, the focus is on providing AI courses that emphasize hands-on, real-world application. Students gain practical experience by working on AI projects, using tools and programming languages commonly used in the industry, such as Python, TensorFlow, and R. This approach ensures that you don’t just learn AI theory—you apply it, making you job-ready upon completion.

3. Diverse Learning Options

Whether you prefer online, hybrid, or in-person learning, Brainy n Bright offers flexible AI courses in New Jersey that fit your schedule. Online courses allow you to learn from the comfort of your home, while in-person options provide an interactive classroom experience where you can collaborate with instructors and peers. This flexibility ensures that you can pursue your AI education without compromising your professional or personal commitments.

AI Course for Kids in New Jersey: Spark Creativity and Build Future Skills

The future of AI is bright—and it’s not just for adults. Introducing children to AI at an early age can help them develop critical thinking, problem-solving, and technical skills that will serve them well in the future. Brainy n Bright offers AI courses for kids in New Jersey, designed to make learning AI accessible, fun, and engaging for younger audiences.

1. Empowering Kids with Critical Thinking Skills

One of the main benefits of AI courses for kids is that they teach young learners how to think critically and solve complex problems. Through interactive and creative AI projects, children learn how AI can be used to address real-world challenges. These courses encourage young learners to approach problems with an analytical mindset—an invaluable skill in today’s technology-driven world.

2. Fun, Interactive Learning

At Brainy n Bright, AI courses for kids in New Jersey are designed to be as engaging as they are educational. Rather than focusing solely on theoretical concepts, these courses include interactive activities like coding simple AI models, building AI-powered games, or creating chatbots. This approach not only keeps kids excited about learning but also helps them build a strong foundation in AI and programming at a young age.

3. Preparing for a Future in Technology

The world is moving towards greater automation and AI integration, and by exposing children to these technologies early on, they can be better prepared for the future. AI courses for kids offer them a chance to explore the future of technology, while also encouraging them to pursue STEM careers. This early exposure can spark an interest in fields like robotics, computer science, and engineering—creating a strong base for future academic and career opportunities.

Why Choose Brainy n Bright for Artificial Intelligence Courses?

With so many options for AI education available today, you may be wondering what makes Brainy n Bright stand out. Here’s why Brainy n Bright is the best choice for an Artificial Intelligence course in New Jersey:

1. Comprehensive AI Curriculum

Brainy n Bright’s AI courses offer a comprehensive curriculum that covers all aspects of AI. For adults, this means learning everything from machine learning algorithms and data science techniques to advanced topics such as deep learning and AI ethics. For children, the curriculum is designed to make AI accessible and fun, with an emphasis on creativity, coding, and problem-solving.

2. Experienced and Dedicated Instructors

The instructors at Brainy n Bright are not just educators—they are professionals with years of experience in the tech industry. This means that students not only gain theoretical knowledge but also practical insights from those who are actively working in AI and related fields. Whether you’re an adult or a child, having expert guidance ensures you’re learning the most up-to-date and relevant AI skills.

3. Flexible Programs for All Learners

Brainy n Bright understands that each learner is unique. That’s why they offer flexible AI courses designed to accommodate different learning preferences. Whether you’re looking for a weekend course, after-school program, or an online bootcamp, Brainy n Bright has a variety of learning options to suit your schedule and goals. This flexibility ensures that students of all ages can pursue their AI education at their own pace.

4. Focus on Hands-On Experience

At Brainy n Bright, you won’t just be learning AI from books—you’ll be applying your knowledge in real-world projects. For adult learners, this means working on building AI models, analyzing datasets, and developing machine learning algorithms. For kids, it means coding fun games, creating interactive robots, and working on AI-powered apps. The focus on hands-on learning ensures that students are ready to use their AI skills in any environment.

Take the First Step Towards an Exciting AI Career

If you’re ready to dive into the exciting world of AI, Brainy n Bright is the perfect place to start your journey. Whether you’re looking to upskill with an Artificial Intelligence course in New Jersey or introduce your child to the future of technology with an AI course for kids in New Jersey, Brainy n Bright offers the resources, expertise, and support you need to succeed.

Enroll today and join the ranks of tech innovators shaping the future with AI!

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minervastation · 6 years ago

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AGE: 40 FACECLAIM: Morena Baccarin

For the last few months, Minerva had been taking a long vacation. She was thrilled to travel, and spent all of her saved vacation time at once. When she returned back to work, she realized that sitting at a desk trying to get computers to behave like people wasn’t something worth her time anymore. It was challenging, but not in a way that was rewarding. It was gruelling, and repetitive, but lacked adventure. So, she decided her next greatest adventure should be a journey into space. It was a spontaneous decision, but she figured the Earth was dying anyways, so she might as well get ahead of the game and go be an astronaut sooner rather than later.

On July 15th, 1978, Minerva Ramos was born in the US state of New Jersey. She was an intelligent kid who marched to the beat of her own drum, and was off-putting to other children. She didn’t have a filter when she spoke, and was blunt to a point of rudeness sometimes. As she got a little older, she honed her talkative nature and carefree attitude into a razor-sharp wit, and was more selective about what she said. She worked hard to live up to the pressure her parents and teachers put on her. They knew she was smart, and expected great things of her. While she did well in school, she struggled to make friends. Later in high school, she leaned more into the idea of being the class clown. She was both high achiever, and a goofball.

She got accepted into Stanford University, where she met Artemis Wright. They first spoke to each other when they were paired up for a group project in a required class, and started hanging out on a regular basis after that. They soon started dating, and were officially together for about a year and a half. After that, they found that they weren’t quite as compatible as they thought. They had very different ideas of what philosophies they had about life, and broke up because of their continued frustrations with that subject.

After waiting to declare her major until the last minute, she chose to study computer science. She thought it would be something that could challenge her, so that she wouldn’t grow bored. She ended up excelling in her studies, but was never really passionate about it. She got good grades, but it was a slog. When she graduated, she moved out to San Jose, California to work at a tech company specializing in the development of artificial intelligence. She spent most of her time working on projects that focused on machine learning.

When Minerva wasn’t working, she spent her free time on a variety of hobbies. She loves trying new things even if she’s bad at them. She continues to partake in hobbies that she’s awful at, such as playing saxophone, dancing, and knitting, as long as she still enjoys them. She rewatches TV shows and movies she likes compulsively, and is always trying to catch up on the latest films. (Some shows she likes to watch on repeat are It’s Always Sunny in Philadelphia, The Golden Girls, and Frasier.) She’s been building up an extensive film collection, and often hopes that DVDs don’t become obsolete like VHS did, because she has a ton of both.

She’s carefree, and has little shame. Minerva is highly intelligent, and has a sharp wit. She loves gallows humor, and sometimes doesn’t realize when it makes other uncomfortable. She’s an individualist, and even though she believes people should help others, she almost always puts herself first.

She tends to use humor as a coping mechanism against her self-loathing. Minerva prefers to ignore what’s wrong in her life rather than try to fix it, and keeps herself as distracted as possible. She never really liked her personality and odd quirks, so she decided to be more of a joker to compensate so people would like her, and share less of her true self. As a result, she has a million acquaintances, and no true, close friends. She doesn’t realize that she can be sincere once in a while, and people will still love her.

#characterbios #femalecharacter #minervabio

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span-arch · 3 years ago

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AI and Architecture A series of estranged sculptures, or: "Midjourney visits the Pinakothek in Munich" (Thank you to Kyle Steinfeld, for laying the base for these images in his "Relievo" project) From the essay: "Deep House - Datasets, Estrangement and the Problem of the New" ----> "At this point, I would like to post a gentle reminder of why we are debating the artistic technique of Estrangement in an article about architecture and artificial intelligence: my main argument in this article is that the results created by Artificial Neural Networks (ANNs), and Diffusion Models (Disco Diffusion, Midjourney, Dall-E, etc.) generate results that fall into the category of Estranged objects. However, it is certainly not sufficient for a building just to have a strange appearance, to be able to provoke the necessary break away from current architectural conventions. Take for example, Frank Gehry’s Guggenheim Museum in Bilbao: Regardless of its status as an icon of a strange new form, it does not question the status quo of a museum program; it remains a self-referential spectacle in steel, glass, and titanium. It wraps a complex form around a rather conventional museum program that celebrates consumerism and musealization. Of course, using methods such as estrangement, subversion, reflexivity, the absurd, and similar techniques as an end to activate the spectator (or the user of architecture, for that matter) and provoke emancipation is not entirely novel. Estrangement and Defamiliarization are actively present in works from G.W.F Hegel, Karl Marx, Viktor Shklovsky, and Berthold Brecht." #midjourney #MidjourneyAI #midjourneyart #neural_architecture #neuralarchitecture #artificialintelligence #artificial_intelligence #estrangement #defamiliarization #ostranenie #newparadigm #machinelearning #deeplearning #neuralnetworks #aiarchitecture #aiarchitects #posthuman #postdigital #architecture #architecturedesign (at Philadelphia, Pennsylvania) https://www.instagram.com/p/Cf9343hOmr3/?igshid=NGJjMDIxMWI=

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angrygiveralpaca · 4 years ago

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Best ai courses in the Asian nation

According to the report of Project Management Institute, a Philadelphia-based non-profit organization, the Asian nation is pondering investment of $1 billion in computing by 2023. The previous year, the Indian government allotted $477 million to spice up the country's AI scheme. additionally, as a part of the National Policy on Education (NEP), AI is going to be introduced within the college information. beyond question, the Asian nation is creating the bottom-up transformation to become Associate in Nursing AI great power.

📷 Now let U.S.A. take a glance at the newest AI courses offered by Indian establishments.Register without charge Workshop on knowledge Engineering>>UG and Integrated Masters Program in Statistics and knowledge Science, IIT KanpurIIT Kanpur declared in might this year that its board has approved a four-year Bachelor of Science program and a five-year Integrated Masters of Science program in Statistics and knowledge Science. The course is going to be offered by the Department of arithmetic and Statistics from this school year, 2021-22.Programs can concentrate on procedure and knowledge science application courses and fundamentals of statistics and arithmetic. it'll enable students to settle on elective courses from the Department of Computing and Engineering and engineering science and aims to assist students to master massive knowledge Analytics.Admission to the program is going to be through Joint Entrance JEE (Advanced).Click here for a lot of data.MTech in AI and knowledge Science, IIT RoorkeeThis month, IIT Roorkee launched 2 new MTech programs beneath its recently established Center for computing and knowledge Science (CAIDS). The program, MTech in AI and MTech in knowledge Science, aims to advance AI and knowledge science applications and studies within the country, promote coaching and development of human resources, applied analysis, entrepreneurship, and innovation.Candidates having BE, BTech, Integrated MS, or equivalent degrees in any engineeringa|subject field|field|field of study|study|bailiwick|branch of knowledge} discipline are eligible to use for the course. they have to have a CGPA of vi.0 to seem for the doorway check and online interview.Click here for a lot of data.12-Week AI Course, IIT MadrasIIT Madras has launched a 12-week AI course on the National Program on Technology increased Learning (NPTEL) platform referred to as 'Artificial Intelligence Search ways for drawback Solving'. prof Deepak Khemnu from the Department of Computing and Engineering can offer the session. IIT Madras.The course starts on twenty-sixth July. Candidates will register until August pair of. whereas the course is liberal to audit, you may ought to pay Rs one,000 to require the test, which is scheduled for October twenty-three.Click here for a lot of data.B.Tech in AI, NIT SurathkalThe Department of knowledge Technology at NIT province, Surathkal recently declared that the educational Senate, the Board of the Institute, and therefore the Union Ministry of Education has approved a replacement four-year B.Tech course in AI. Admission is going to be on the idea of JEE (Main) test.The information can offer experience in knowledge science, humane computing, cyber-physical systems, and artificial intelligence, creating students industry-ready.Certificate Program in cubic centimeter and AI with Python, IIT BombayThe Certificate Program in cubic centimeter and AI with Python by IIT urban center aims to organize students for business. The course can teach you the way to kind (Python, NumPy, and Pandas), study and arrange knowledge, run analysis, and make DataFrames from scratch. Students can learn Scikit and SciPy to create prophetical linear models for optimum accuracy; Build text classification systems and agent-based models victimization linear classifiers and deep learning.The six-month course is scheduled to start out on June thirty. the web categories are going to be command each Sunday between three.30 pm to 6:30 pm for 3 hours and can involve Rs one,25,000 and taxes. Any graduate or certification holder having expertise of a minimum of one year will apply for the course. On completion of the course, learners can receive a certificate from IIT urban center.Click here for a lot of data.AI for Digital Transformation, IIM metropolisIIM metropolis has launched a live online program on AI for Digital Transformation to equip learners with AI technologies that change digital transformation in organizations. By taking courses, students can perceive however knowledge is kept, the however software package is made and tested, however

machines area unit tasked with creating selections, the kinds of biases, and the way to scale operations.Upon completion of the course, learners can have a robust understanding of ideas together with AI, machine learning, neural networks, supervised learning, classification, and prediction. The five-day course is commencing from Sept thirteen. The fee is Rs seventy-six,950 for early birds and Rs eighty-five,500 for candidates World Health Organization register when August twenty-three.Click here for a lot of data.PGD in knowledge Science and AI, IIIT DelhiIn collaboration with IBM, the Indraprastha Institute of knowledge Technology (IIIT) urban center has launched a nine-month PG certification course in knowledge Science and AI. the whole program is going to be conducted online over the weekend.The course can equip students with the basics of applied mathematics analysis, mathematical analysis, and optimization; elementary and advanced machine learning and deep learning; knowledge engineering techniques; handling massive data; In-depth understanding of varied business application domains.The certification program can enable professionals from numerous business verticals- arts, commerce, and medication to restart their careers. B.Tech or BE in CS/Math-and-Computing or B.Tech/BE in any discipline, MCA or MS in Physics or Chemistry or arithmetic or computing, or Bachelor of social science or arithmetic or Statistics, or MBA, will apply for will. Period.I hope the above information will be helpful for you. For more info just leave a comment down below.

#ai #ai course #best ai course

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douglashonorscollege · 4 years ago

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The Tesla Titan

research paper by David Wacker ⌂

Part I: The Tesla Titan

“Tesla Titan, he’s a hero! Gonna bring emissions down to zero!” Now that may be a clear rip off of the classic Captain Planet theme song, but the Tesla Titan deserves the same recognition as the beloved pollution fighter. The Tesla Titan is not only stopping the crimes of fossil fuel overconsumption and outdated automobiles, but also making space travel less environmentally destructive. Reusable rockets have decreased cost and waste by a big margin. He has also promised that moving to Mars in the future is possible. Though he wouldn’t be able to do all of these amazing feats if it weren’t for his infinitely smart Artificial Intelligence by the name of OpenAI (needs a better nickname). It is said that Tony Stark himself went to the Tesla Titan for pointers on how to be a world-saving superhero. The Tesla Titan keeps giving more and more to our wonderful planet; he is a true hero and spectacle.

His only flaw would be that he hasn't done a good job at keeping his identity hidden. Just about anyone with a WiFi connection knows the Tesla Titan’s real name which of course is Elon Musk. Musk is one of the richest people on the planet, and he has been doing his best to use it for good! The Tesla Titan’s Origin Story begins in the country of South Africa, where he began toying using computers at a young age. At the young age of twelve he sold a video game he had developed to a magazine company. It was a space-themed “shoot-em-up” called Blastar, and it made the future billionaire a cool 500 dollars. You can actually play it in your browser now with a little digging.

At the age of seventeen, while continuing to get more adept with computers, Musk decided to get a Canadian passport. His reasons were based around not wanting to support apartheid—a segregation order in South Africa—with military service as well as chasing better economic opportunities in North America. He first attended Queen’s University in Kingston, Ontario, but then transferred to the University of Pennsylvania, Philadelphia, where he earned two bachelor’s degrees. From there, Musk went to Stanford for graduate school, quitting after a mere two days. He thought that the future was with the internet, and he was correct; in a relatively short amount of time, Musk sold his first online company, Zip2, for 309 million dollars (Gregersen).

Elon Musk, aka the Tesla Titan, has become a dominant figure in the tech industry over the past decade, and for good reason, too. He has brought about paradigm shifts in many different fields with relative ease. This is a result of his influence that he has gained over the years. He has the capability to alter public thinking quicker than it would otherwise change. A paradigm shift is comparable to a scientific revolution, something that generally requires a lot of marketing, money, and, usually, time. Throughout this essay I will compare his ability to sell products to the abilities of the Marvel character Tony Stark, aka, Ironman. Both have helped invent and create amazing pieces of technology. They also have much success selling these technologies, and the similarities go on and on.

The Tesla Titan gets his name after the electric car company he co-founded and where he continues to hold the title of CEO. The car company was founded in 2003 with the idea of fun-to-drive electric vehicles in mind. They launched their first full electric vehicle in 2008, named the Tesla Roadster. The Model S was launched in 2012, becoming the best in its class in every category. The company has released many more vehicles over the years, and just last year, it announced the Cybertruck, which currently has over 650,000 orders. Tesla is also close to releasing a self-driving semi-truck, which promises a 500-mile range on a full charge. From Tesla’s beginning right up to today, “Elon leads all product design, engineering and global manufacturing of the company's electric vehicles, battery products and solar energy products” (Tesla).

Recently, Tesla became the highest valued car company in the world, reaching an estimated $208 billion value in July of 2020. It is now being valued at $387 billion by Yahoo Finance today, with the possibility of another jump in value after it was announced that Tesla is joining the S&P 500. In its seventeen-year lifetime, Tesla became the forefront of electric vehicles, and it has reached farther than any other car brand before it.

Although Tony Stark never released his own brand of vehicles, he is known to be the owner of many expensive sports cars. He also created the Model 52 Iron Man Armor, which could fully transform into a flying car, equipped with two circular jets on the bottom to keep it off the ground. So there’s some comparisons to be made between these two men. In the movie, Spiderman: Homecoming, a Stark Cargo Plane is robbed. Where this might not be the best example of its abilities, it still has the capability to cloak itself and stay off radar. So they both have their experience in transporting goods.

The Tesla Titan’s highest reaching feat is SpaceX, which he founded just a year before Tesla. SpaceX has also reached the forefront in its field of sending rockets to space and, now, landing them back on earth. Falcon 9 was the first ever successful landing of an orbital rocket booster back in 2015. Since then, there has been nowhere to go but up! Following the Falcon 9 was the Falcon Heavy in 2018 and then the revolutionary Super Heavy Starship System this year. The Starship System can carry a total of 220,000 pounds. It is designed to travel quickly to different cities around the globe. It doesn’t stop there, though; the System was also built with the idea of transporting supplies and people to and from the Moon and Mars. It does all this at a fraction of the cost of SpaceX’s closest competitor, Boeing. SpaceX has even transported multiple astronauts to and from the International Space Station (ISS) with its Dragon spacecraft (Gregersen). Just recently, four astronauts were successfully transported to the ISS in association with NASA (Wattles).

A clear paradigm shift occurred when Falcon 9 became the first booster to land itself back on Earth. A mere thirteen years after its founding, the company managed to break a barrier no one had come near breaking before. The main thing that Tesla and SpaceX have in common is their fearless leader, The Tesla Titan. With the amount of success that Elon Musk has had over just the past two decades in these two fields, a connection has to be made with his influence. After so many successes, it would be hard for the world not to believe in his hero-like abilities being behind some of today’s paradigm shifts.

Connecting this to Tony Stark comes a little easier than comparing a single transforming car suit. Stark Industries has connections to the creation of the original Helicarrier that is used by the S.H.I.E.L.D. organization. Tony proposed the original idea to S.H.I.E.L.D., and with the help of Dr. Reed Richards and the former Xman Forge, they were able to design and eventually build the aircraft. Not that readers are able to see much of it, but there has also been a mention of the Stark Industries Aerospace Division, which supposedly created the first spaceship capable of space travel. It was first brought up in Iron Man, Vol. 1, #60, back in 1973, but not much has been said about it since.

Finally, the last evidence I will provide for The Tesla Titan’s ability to perform paradigm shifts in a single bound comes in the form of Open AI. He founded the company alongside Sam Altman and others with a beginning pledge of one billion dollars. Since its inception, the company has worked on many different AI-related projects, from a fully AI Dota 2 team that regularly beats the best of the best human teams, to slightly less impressive—when it comes to competitive gaming—but still impressive bipedal AI simulations that learned to sumo wrestle one another. Moreover, Open AI developed an AI-trained robot hand that can solve a Rubik’s Cube. Then there’s the music generating AI, Jukebox, that has its own Soundcloud. But maybe the most impressive use so far is GPT-3, a unique text-suggestion software that can gather data in split seconds and fill out a full Excel sheet with data after a simple topic search and a few button presses.

In 2018, Musk left the company’s board but still remains a donor. He left the company because of possible future contests between it and the AI that runs his Tesla vehicles’ self-driving. While he might not be with the company anymore, the amount the company accomplished while he was associated with it is still nothing to scoff at. This is another great example of how someone of his status and income can significantly increase the rate of technological progress.

These accomplishments provide the easiest area to find similarities between The Tesla Titan and Iron Man. Both have their hands in the super intelligent AI basket. Tony Stark, of course, has his AI-assistant Jarvis with him wherever he goes, whether it’s in a pair of super fancy Heads-Up Display Glasses, in his massive super smart home, or of course while he’s in his trademark Iron Man suits. Jarvis is used for instant information, hacking, and even controlling certain aspects of the various Iron Man armors.

In the Marvel Cinematic Universe, Jarvis ends up inhabiting a Vibranium-based body that eventually leads to him becoming Vision. The body was constructed under the instruction of another super AI, Ultron, who intended on using the body as his most powerful form yet. As some will know, Ultron turns out to be an evil Artificial Intelligence with the classic, “exterminate the human race” mindset. Thinking quickly, Stark puts Jarvis into the body so it cannot be inhabited by Ultron. Vision is “powered” by the Mind Stone (one of the six world creating Infinity Stones) which gives Jarvis full sentience.

My claim earlier about Tony Stark going to Elon Musk for inspiration was not that far fetched. Robert Downey Jr. did in fact go to Musk for tips on how to play the super-rich, tech playboy that is Tony Stark. And this completely makes sense, as The Tesla Titan is very comparable to Marvel’s Iron Man. It is a good thing that The Tesla Titan is on the good side, as it would be quite dangerous if he suddenly turned evil. He would have all the money and equipment he could need to possibly take over the world…

Part II: Neuralink The Nefarious

Neuralink The Nefarious, comes from a different timeline than The Tesla Titan, a timeline where the man behind the mask chooses to use his influence for evil rather than good. Neuralink The Nefarious sees the world as being infected by the parasite that is the human race, and he plans to use whatever resources he has—and he has plenty of resources—to expel the Earth of its sickness. But he won’t stop there—why conquer one planet, when you can conquer two, plus a moon? He develops spaceships with the cover story of cheaper space travel and commercial use for everyone. Behind the scenes, though, he schemes in the shadows. Along with his plans for stealing worlds, he is developing his mode of extinction for the human race in the form of mind-altering brain implants, which he markets as a possible cure for previously incurable diseases. The idea of self enhancement can drive practically anyone to madness, and he feeds on that desire. The implants are said to also provide information to the user just by thinking. While he’s at it, he has also sold “Not Flamethrowers” to the general public, another tool in his master plan. Neuralink the Nefarious will stop at nothing to become the Earth’s one true owner.

This section of the essay will go over how not only does Elon Musk have similarities to those of Superheros, but he is also very capable of becoming a super villain. I will also go over the idea that when paradigm shifts do happen so quickly because of his influence, Technological Disjunction is rarely part of the equation. Technological Disjunction is what happens when society doesn’t fully agree with a new technology that is being developed. For example, the use of drones by the public—many people worried about personal privacy. This has led to many regulations, including the requirement that the operator have a license to fly their drone over another’s property. Without a lot of technological disjunction, products that maybe should not be put on the market become available. Throughout this portion of the essay, I will compare Musk’s projects to multiple villains spread across pop culture, comparing their views and evil plans with those of Neuralink the Nefarious.

Once again, Neuralink the Nefarious gets his name after one of his evil companies. Elon Musk founded Neuralink in July 2016, with a goal of solving paralysis and improving the human being by tampering with neurons in the brain. The “link” will be implanted into the person’s head with very thin “neural threads” reading interactions between the neurons that are used for movement in the brain. Their plan is to begin by creating a wireless link between users’ brains and their mobile devices: “The Neuralink app would allow you to control your iOS device, keyboard and mouse directly with the activity of your brain, just by thinking about it” (Neuralink). As Neuralink learns more from its different iterations, the ability to help those with paralysis and other disabilities comes next. Or so they say.

I believe that Neuralink the Nefarious got this idea straight from the 2014 Action Film Kingsman: The Secret Service. The film’s antagonist is Richmond Valentine, a rich tech mogul looking to provide the world with “Free Calls, Free Internet, For Everyone, Forever.” He does so by implanting a chip directly connected to the brain. Sound familiar? It is later revealed that Valentine had an ulterior motive with his fancy Wi-Fi chips; not only do the chips provide said services, but they can also be used to make everyone who has one go into a murderous rage. So he markets and sells the chips around the world, and most of the first world ends up with one within a matter of a few weeks. He then activates their murder function and anyone with a chip begins doing whatever they can to hurt and kill everyone around them. Then of course the protagonist saves the day, but that’s besides the point. The point is this: if Neuralink the Nefarious really is inspired by Valentine—or vice versa—who knows what else these “links” will do to us.

A few months after founding Neuralink, Musk founded the Boring Company whose primary goal is to devise and create new methods of transportation. They plan to market underground tubes made for getting places quicker. However, for this essay, I will be focusing on one of the Boring Company’s previous products: in 2018, The Boring Company sold “Not a Flamethrower” to anyone who had a 500 dollars to burn. The 20,000 units sold out, generating ten million dollars for the company. Selling items similar to a flamethrower to the public doesn’t sound safe, obviously, as there is always the distinct possibility of someone wielding one with evil intentions.

I was not able to find a villain that specifically sold flamethrowers to the public. However, there is Norman Osborn, a prominent figure in New York, who is the head of Oscorp, which is a leader in various technologies. Behind the scenes though, Norman is the Green Goblin, one of Spiderman’s oldest foes. After taking an intelligence- and strength-enhancing serum, Osborn ends up going insane, which spurs his liking of destruction. I wouldn’t put selling flamethrowers off the radar for Mr. Osborn, whatever it takes to drive the city to the ground. Neuralink the Nefarious was pretty unique with this one, selling flamethrowers to almost anybody is something not many super villains have thought of, perhaps making him more villainous than the most evil of super villains.

These two companies of his are prime examples of technological disjunction being forgotten. Through vigilant marketing, economic class, and a wide influence, Elon Musk and his reputation have survived, even thrived, where others would have found themselves in the proverbial doghouse. Of course there will always be articles about how what he is doing is wrong, but they haven’t been impactful enough to keep Musk from continuing his work. He has accomplished so much that it has become hard to stop his Neuralink the Nefarious side—if it exists.

Conclusion

Whether we are in the Tesla-Titan or the Neuralink-the-Nefarious timeline, Elon Musk has made major strides in whatever line of work he steps into. His companies have accomplished more in under twenty years than many have accomplished in over 100. There are so many more examples from his life to support both sides of this argument, but I ultimately align myself with the Tesla Titan, not only because he’s the good guy but because there is more evidence for Elon being “good” rather than “bad.” I appreciate his thoughts on renewable energy and his efforts to save the planet from climate change. While I was writing this, my dad sent me an article about the announcement of ZETA, a group of electric vehicle manufacturers, including Tesla, arguing for no more sales of fossil fuel-powered vehicles by 2030, moving our world closer to the electric vehicle paradigm.

To reiterate, Elon Musk is in a special place in the science world. He is highly intelligent and very well known, giving him the power to trigger paradigm shifts in pretty much every industry he touches, which so far has been for the positive. But if he continues to avoid Technological Disjunction, he could potentially turn toward evil, which could negatively impact all of humanity. It’s the job of the public to keep figures like Musk in check, to make sure they remain the Tesla Titans rather than become Nefarious Neuralinks.

Works Cited ~Brockman, Greg. “OpenAI API.” OpenAI , OpenAI, 28 Sept. 2020, openai.com/blog/openai-api/. ~CB Insights. “8 Industries Being Disrupted By Elon Musk And His Companies.” CB Insights Research , CB Insights, 21 Sept. 2020, www.cbinsights.com/research/report/elon-musk-companies-disruption/ ~Chandler, Simon. “Elon Musk Is 'Distracting Us' From Real Tech Issues, AI Figures Warn.” Forbes, Forbes Magazine, 19 May 2020, www.forbes.com/sites/simonchandler/2020/05/18/elon-musk-is-damaging-te ch-and-the-tech-industry/?sh=6206e5e19b8d. ~“Elon Musk.” Tesla, Inc , www.tesla.com/elon-musk. ~Evannex. “A Transportation Paradigm Shift Is Coming Thanks To Tesla's Elon Musk.” InsideEVs , InsideEVs, 22 Feb. 2020, insideevs.com/news/400142/tesla-elon-musk-transportation-paradigm-shift ~Fandome Contributors. “Iron Man Armor Model 52.” Marvel Database , marvel.fandom.com/wiki/Iron_Man_Armor_Model_52. ~Fandome Contributors. “Norman Osborn (Earth-616).” Marvel Database , marvel.fandom.com/wiki/Norman_Osborn_(Earth-616). ~Fandome Contributors. “S.H.I.E.L.D. Helicarrier.” Marvel Database , marvel.fandom.com/wiki/S.H.I.E.L.D._Helicarrier. ~Fandome Contributors. “Stark Industries Aerospace Division/Appearances.” Marvel Database , marvel.fandom.com/wiki/Category:Stark_Industries_Aerospace_Division/Ap pearances. ~Gibbs, Samuel. “Elon Musk Sells All 20,000 Boring Company 'Flamethrowers'.” The Guardian , Guardian News and Media, 1 Feb. 2018, www.theguardian.com/technology/2018/feb/01/elon-musk-sells-out-boring-c ompany-flamethrowers-fire. ~Gregersen, Erik. “Elon Musk.” Encyclopædia Britannica , Encyclopædia Britannica Inc., 27 Aug. 2020, www.britannica.com/biography/Elon-Musk. ~Hern, Alex. “Elon Musk: the Real-Life Iron Man.” The Guardian , Guardian News and Media, 9 Feb. 2018, www.theguardian.com/technology/2018/feb/09/elon-musk-the-real-life-iron- man. ~Klebnikov, Sergei. “Tesla Is Now The World's Most Valuable Car Company With A $208 Billion Valuation.” Forbes , Forbes Magazine, 1 July 2020, www.forbes.com/sites/sergeiklebnikov/2020/07/01/tesla-is-now-the-worlds- most-valuable-car-company-with-a-valuation-of-208-billion/?sh=6d99944f5334 ~Neuralink , neuralink.com/. ~“Not A Flamethrower.” The Boring Company, www.boringcompany.com/not-a-flamethrower. xxx Peterson, Andrea. Even Elon Musk Knows He's a Good Supervillain Candidate . 25 Apr. 2019, www.washingtonpost.com/news/the-switch/wp/2015/04/17/even-elon-musk- knows-hes-a-good-supervillain-candidate/. ~“Tesla, Inc. (TSLA) Valuation Measures & Financial Statistics.” Yahoo! Finance , Yahoo!, 18 Nov. 2020, finance.yahoo.com/quote/tsla/key-statistics/?guccounter=1. ~Vaughn, Matthew, et al. Kingsman: the Secret Service . 20th Century Fox, 2015. ~Wall, Mike. “Wow! SpaceX Lands Orbital Rocket Successfully in Historic First.” Space.com , Space, 22 Dec. 2015, www.space.com/31420-spacex-rocket-landing-success.html. ∎

More on David ~ Minerva’s Owl Homepage

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douchebagbrainwaves · 5 years ago

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KIDS DIDN'T ADMIRE IT OR DESPISE IT

But if they don't, you're hosed. NYC, and when I asked them about their trip.1 VCs' money? When we started Viaweb, all the time? But I'm willing to let people see an early draft if it will be easy, and common, to try Web-based applications, there is not much going on, and why this company is going to beat them. You're just looking for something to spark a thought. When they can, for example, the idea was discovered during the Renaissance. There have probably been other people who did this as well as its results. What little original thought there was took place in the rankings.

And yet does anyone who was there have any expectation those days will ever return? The danger of symmetry, repetition and recursion. The really dramatic growth happens when a startup only has three or four people, so only three or four people see that, whereas tens of thousands see business as it's practiced by Boeing or Philip Morris. So why isn't he on the list, and indeed, no one will know. If you get someone really good, really early, it might be wise to give him as much stock as the founders.2 That would be a lot more eager to close—and not just because the returns are high but also because such investments are so easy to get distracted working on small stuff to work on big stuff. In fact the second step can propagate back into the first: if something is hard to appreciate is that it has started to be driven mostly by people's identities. Result: this revolution, if it is one, will be unusually localized. The biggest difference is that you focus more on marketing? So they're going to raise $200,000 worth of new shares to the angel; if there were 1000 shares before the deal, this means 200 additional shares.3 When you're riding a Segway is that you get instant feedback from changes: the number of toys my nephews have. Barring some cataclysm, it will work at any college.

Why? As long as things are going smoothly, boards don't interfere much. No one would dispute that he's one of the people who just make exactly what the customers tell them to stop. That one is easy: don't hire too fast. Till you feel comfortable investing, don't invest more than that.4 So you spread rapidly through all the colleges.5 That's an interesting idea.

We are still very suspect of this idea; it forced itself upon them gradually. Often users have second thoughts and delete such comments. But reading Austen is like reading nonfiction. Calder's sculptures never get boring. What do you do differently when you treat programming languages as a design problem instead of a research topic?6 You're not limited to small, artificial focus groups. Good design is suggestive. Maybe mostly in one hub.

The reason it pays to put off the second kind of errand. I didn't, not enough. Particularly the sort written by the architect. That's what I thought before Viaweb, to the extent I thought about the question at all.7 Hackers can be abrupt even in person. The danger of an idea, how do you choose between ideas?8 In a way. Benchmarks are simulated users.9

Sh And so good writers just you wait and see who's still in print in 300 years are less likely to depend on such tricks. The reason is that investors need to get their capital back, ideally after the startup IPOs, or failing that when it's acquired.10 It can be hard to understand, you could succeed this way. Hiring too fast is by far the biggest killer of startups that end up in it are ones you thought of while writing it? Risk and reward are usually proportionate, however: you should be eating fruit. Bad founders seem hapless. Design doesn't have to be created without any meaningful criteria. Maybe the alarm bells it sets off will counteract the forces that push you to overhire.11 So what does Hardy mean when he says there is no such thing as beauty, we need to be software for making them, so we are now three months into the life of a few carefully observed and solidly modelled objects will tend to seem very positive about your company. For the rest of the class, I just skimmed the Cliff's Notes, it turned out. If you get inspired by some project, I can work in noisy places. The designer is human too.

When you use the organic method is the example of the organic method, you don't need the narrowness of the well per se. You can at least use yourself as a good investor in the startups they funded. Odds are it will be easy to tell apart. The only way to get things right the first time. It's a live thing, running on your servers right now. You may be thinking, it's a mistake to conclude that because a question tends to provoke religious wars, it must a make something lots of people want and how to reach those people, there's a period of rapid growth. Most programmers wish they could start a startup. The less you spend, but as long as you have a beachhead. Like any war, it's damaging even to the degree it isn't, it's a bug. This article explains why much of the next generation of software will be easier, cheaper, more mobile, more reliable, and often more powerful than desktop software.

And for many if not most of the advantages of seed firms is the advice they offer. The suburbs of Pittsburgh in the 1970s before they figured out how to make the company good. His class was a constant adventure. Hiring too fast is by far the biggest killer of startups that end up going public didn't seem likely to at first. They can't dilute you without diluting themselves just as much. In my case they were effectively QA and to some extent the unsexy filter is to ask what you wish someone else would build, so that you could not, if asked, explain why one ought to write about it. A lot of them wrote software for them.12

Notes

So it may be a big effect on social ones. Why go to work your way up. When we got to targeting when I first met him, but there has to be a source of food.

The current Bush, for example, to drive the old one. 43. Obviously this is a way to see it in the most valuable aspects of startups is a bad idea, period.

Org Worrying that Y Combinator only got 38 cents on the relative weights? The point of view: either an IPO, or a blog on the grounds that a their applicants come from meditating in an absolute sense, if you're a YC startup and you have to sweat whether startups have elements of both.

The shares set aside an option to maintain their percentage. If only one restaurant left on the way up into the heads of would-be poets were mistaken to be most attractive when it's their own company. Currently, when they talked about convergence.

Philadelphia is a lot lobbying for harsh sentencing laws, they said, and a back seat to philology, which a seemed more serious and b made brand the dominant factor in deciding what to do good work and thereby subconsciously seeing wealth as something you need. With the good groups, you may as well, since they're an existing investor, and this tends to be about 200 to send a million spams. August 2002. And intimidate the NBA into letting him play.

So it's hard to pick up a take out your anti-dilution protections. The question to ask permission to go to college somewhere with real research professors. Though most founders start out excited about the qualities of these groups, which means you're being asked to choose between great people. The only people who should quit their day job, or some vague thing like that.

35 billion for the future. As a rule of thumb, the startup. The second biggest regret was caring so much in the sense of the world, and we don't have to say, but it is more important.

For example, if you are unimportant.

They also generally provide a better user experience. But that is a good grade you had small children pointed out by a factor of 20.

The Sub-Zero 690, one of them could as accurately be called acting Japanese. They have the.

If you want to approach a specific firm, get an intro to a car dealer. Look at those goddamn fleas, they tended to be important ones. But you can discriminate on the basis of intelligence.

There's not much to hope for, but suburbs are so much a great hacker. The best case. Indiana University Publications.

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jackramsdalephotography · 11 days ago

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Hire a talented industrial photographer Philadelphia for your superior brand building and marketing!

Photography serves many purposes in the business world. Three main types are industrial, commercial, and business photography. Each has its own focus and style. Industrial photography is vital for showcasing the innovation and craftsmanship within industries. It is especially crucial for brand building, marketing, and establishing a professional image. High-quality photography helps convey a company's values and story. Visuals can communicate what a brand stands for, its mission, and its vision. This connects with potential customers.

Effective photography showcases a company's products and services in a visually appealing way. It highlights features and benefits, making offerings more attractive to customers. When products are presented beautifully, they are more likely to catch the eye of potential buyers. For that, a talented industrial photographer Philadelphia plays a crucial role in brand building.

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Modern industrial photography incorporates various styles. It includes candid shots of processes and portraits of workers. This approach visually communicates the innovation driving industries. Artificial intelligence is changing the landscape of photography. AI helps photographers focus on creativity instead of technical challenges.

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#industrialphotographer #philadelphiaphotographer #industrialphotography #phillyphotographer #constructionphotography #commercialphotographerphilly

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bigyack-com · 5 years ago

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Design Shows Take On the Future. And It’s Not Pretty.

PHILADELPHIA — Design isn’t what it used to be in the museum world. Just a few years back, exhibitions about the future were typically filled with bright and shiny objects, presented as new ideas to make life better. The unspoken theme pervading those shows was consumerism — a tacit endorsement of shopping and acquiring.Today, museum curators are promoting the view that conspicuous consumption is bad for the planet, that luxury items exclude those who can’t afford them, and that designers need to acknowledge differently shaped and differently abled bodies. Current shows are meant to provoke conversation, not admiration.Tables and chairs that once delighted viewers with their technical virtuosity and sleek good looks “are about the past,” said Paola Antonelli, senior curator of architecture and design at the Museum of Modern Art. “As representatives of life, objects are not the way to go.”Ms. Antonelli’s show, “Broken Nature,” a major statement about climate change and the disasters that await humanity, starred at the Milan Triennale last spring. It offered not a single object chosen for its visual power, but rather for the possibilities they represented. New Yorkers will have a chance to see a portion of the exhibition at MoMA in June. Cooper Hewitt’s recent Triennial, “Nature,” followed a similar path, also focusing more on science and technology than beauty.Now comes the equally thought-provoking and process driven “Designs for Different Futures,” at the Philadelphia Museum of Art, filled with prototypes and products said to be sustainably, or ethically, cultivated. It tackles issues from housing to food, privacy to health, and expands the world of design to include many visions of the future. It took five curators to organize, and they all see the future differently. In some galleries, an anti-beauty aesthetic reigns.“The show is about world building as much as about design,” said Emmet Byrne, the design director at the Walker Art Center, and a member of the curatorial team here.While the exhibition professes to be about the future, in many ways it’s about the present — even the recent past — dealing with our current obsessions, worries and hopes, from medical science to the fate of the earth. Beginning work on the project in 2014, Kathryn B. Hiesinger, Philadelphia’s senior curator, planned to focus on visually engaging products, the same approach she used in 1981, in her groundbreaking exhibition “Design Since 1945.” That encyclopedic presentation and catalog introduced work by midcentury modernists including the Eameses, Dieter Rams and Hans Wegner, and George Nelson to a new generation of home buyers and design cognoscenti.But her current collaborators pushed the show in a different direction. “It’s issue driven, not design driven,” explains Ms. Hiesinger. “It’s what this generation is interested in.”The installation showcases 11 different categories, a dizzying variety of disciplines and practices. Visitors at the entrance are greeted with a towering mass of inflated white plastic spheres filled with water and air, created by a group of Finnish architects led by Eero Lundén for the 2018 Venice Architectural Biennial. They are constantly moving, burping like giant bubbles, reacting to subtle shifts in the environment. The designers posit that in the future, buildings will not be static but will be able to change and adapt to their surroundings — becoming symbiotic, not anthropocentric. You’ll need to read the wall text to get the point.Similarly, a section devoted to food — packed with ideas from Orkan Telhan, an associate professor of emerging design practices at the University of Pennsylvania School of Design — offers projects that demand more information. Meat grown from human cells, with the help of engineered microbes taken from expired blood cells, is elegantly arrayed on a plate, ready for a photo shoot. Two fish are encased in plastic frames; one has been freshly caught; the other, larger and healthier looking, has been genetically modified, underscoring Mr. Telhan’s argument that G.M.O. food has been unfairly stigmatized. He writes in the show’s catalog that fear-mongering media campaigns, supported by various interest groups, have swayed the argument. Unfortunately the explanatory captions are at some remove on a wall filled with dense type.Many of the projects in a section called “Powers” are deliberately unsettling, and address the dark side of the future. The information artist Heather Dewey-Hagborg offers ‘‘Stranger Visions,” a series of 3-D printed facial portraits created from DNA she recovered from discarded items, such as hair, cigarette butts and chewed gum collected from New York City sidewalks — without their owners’ knowledge or consent. Ms. Dewey-Hagborg tacitly raises the point that attention must be paid to the emerging field of forensic DNA technology. (The project dates to 2012-2013.)To help outwit Big Brother-style surveillance, this section also includes the “ZXX Typeface” designed by Sang Mun, which cannot be read by artificial intelligence. A costume is included from “The Handmaid’s Tale,” an almost de rigueur inclusion in museum shows these days. “CV Dazzle,” by Adam Harvey, employs extreme hair styling and makeup to break apart the features of a face to trick facial recognition algorithms.Chairs finally make an appearance in a section about the future of materials. “Voxelchair V 1.0” is a robotically printed 3-D chair. This assemblage of small tinted blue plastic cubes was created by Manuel Jimenez Garcia and Gilles Retsin, co-founders of the Design Computation Lab at the Bartlett School of Architecture, who created a program that gives designers greater control of the 3-D printing process (voxels are three-dimensional pixels). The chair, produced in collaboration with Nagami Design, may represent a technical feat, but sadly doesn’t look like an inviting place to sit.Joris Laarman’s “Makerchair Polygon” is downloadable, built from digitally fabricated 3-D parts that fit together like an elaborate jigsaw puzzle. Mr. Laarman reduced the design to manageable components to enable production on a home 3-D printer. Coincidentally, both of the seats were modeled on Verner Panton’s S-shaped stacking chair designed in 1960 — which is probably much more comfortable (no test sitting was allowed).For a future which some suggest will be dominated by artificial intelligence and robots, there are, surprisingly, many do-it-yourself projects in this exhibition. The artist and bio-hacker Mary Maggic imagines a time when estrogen will be freely available for personal use with both her conceptual “Estrofem Lab,” a pair of suitcases packed with chemical equipment meant for home use and “Housewives Making Drugs,” a simulated TV show, where women concoct their own hormone supplements easily as Martha Stewart makes cookies.To call “Designs for Different Futures” ambitious, is an understatement. There are so many ideas on view that it’s hard to take everything in with one visit. By the time the show reaches the Chicago Art Institute a year from now, the curator Zoe Ryan said, some of the current objects might be supplanted by newer ideas. “We’ll be in a different place but the issues will be the same.”Many of the solutions seen here are hopeful; children’s clothing that grows with the wearer would save parents money and reduce landfill; textiles woven from seaweed provide a renewable planet-friendly material for designers. Others, such as “Raising Robotic Natives,” are speculative projects designed to raise eyebrows. This industrial robot arm to feed the baby is meant to save parents’ time — but would anyone want this menacing factory-like object in a nursery? (The designers are raising this very question.)To give visitors time to decompress and absorb what they’ve just seen, the show ends at a Future Therapies Lab, a space to sit down, read and even make art. Books are arrayed along one wall providing follow-up information and ideas. Curling up with an old-fashioned good read may be the best way to cope with what lies ahead.Designs for Different FuturesThrough March 8 at the Philadelphia Museum of Art, 2600 Benjamin Franklin Parkway; 215-763-8100, philamuseum.org. The show travels to the Walker Art Center in Minneapolis and the Art Institute of Chicago. Read the full article

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magzoso-tech · 6 years ago

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New Post has been published on https://magzoso.com/tech/will-the-future-of-work-be-ethical-future-leader-perspectives/

Will the future of work be ethical? Future leader perspectives

Greg Epstein Contributor

Greg M. Epstein is the Humanist Chaplain at Harvard and MIT, and the author of the New York Times bestselling book Good Without God. Described as a “godfather to the [humanist] movement” by The New York Times Magazine in recognition of his efforts to build inclusive, inspiring, and ethical communities for the nonreligious and allies, Greg was also named “one of the top faith and moral leaders in the United States” by Faithful Internet, a project of the United Church of Christ and the Stanford Law School Center for Internet and Society.

More posts by this contributor

Will the future of work be ethical? Future leader perspectives

Will the future of work be ethical? Perspectives from MIT Technology Review

In June, TechCrunch Ethicist in Residence Greg M. Epstein attended EmTech Next, a conference organized by the MIT Technology Review. The conference, which took place at MIT’s famous Media Lab, examined how AI and robotics are changing the future of work.

Greg’s essay, Will the Future of Work Be Ethical? reflects on his experiences at the conference, which produced what he calls “a religious crisis, despite the fact that I am not just a confirmed atheist but a professional one as well.” In it, Greg explores themes of inequality, inclusion and what it means to work in technology ethically, within a capitalist system and market economy.

Accompanying the story for Extra Crunch are a series of in-depth interviews Greg conducted around the conference, with scholars, journalists, founders and attendees.

Below he speaks to two conference attendees who had crucial insights to share. Meili Gupta is a high school senior at Phillips Exeter Academy, an elite boarding school in New Hampshire; Gupta attended the EmTech Next conference with her mother and has attended with family in previous years as well; her voice and thoughts on privilege and inequality in education and technology are featured prominently in Greg’s essay. Walter Erike is a 31-year-old independent consultant and SAP Implementation Senior Manager. from Philadelphia. Between conference session, he and Greg talked about diversity and inclusion at tech conferences and beyond.

Meili Gupta is a senior at Phillips Exeter Academy. Image via Meili Gupta

Greg Epstein: How did you come to be at EmTech Next?

Meili Gupta: I am a rising high school senior at Phillips Exeter Academy; I’m one of the managing editors for my school’s science magazine called Matter Magazine.

I [also] attended the conference last year. My parents have come to these conferences before, and that gave me an opportunity to come. I am particularly interested in the MIT Technology Review because I’ve grown up reading it.

You are the Managing Editor of Matter, a magazine about STEM at your high school. What subjects that Matter covers are most interesting to you?

This year we published two issues. The first featured a lot of interviews from top AI professors like Professor Fei-Fei Li, at Stanford. We did a review for her and an interview with Professor Olga Russakovsky at Princeton. That was an AI special issue and, being at this conference you hear about how AI will transform industries.

The second issue coincided with Phillips Exeter Global Climate Action Day. We focused both on environmentalism clubs at Exeter and environmentalism efforts worldwide. I think Matter, as the only stem magazine on campus has a responsibility in doing that.

AI and climate: in a sense, you’ve already dealt with this new field people are calling the ethics of technology. When you hear that term, what comes to mind?

As a consumer of a lot of technology and as someone of the generation who has grown up with a phone in my hand, I’m aware my data is all over the internet. I’ve had conversations [with friends] about personal privacy and if I look around the classroom, most people have covers for the cameras on their computers. This generation is already aware [of] ethics whenever you’re talking about computing and the use of computers.

About AI specifically, as someone who’s interested in the field and has been privileged to be able to take courses and do research projects about that, I’m hearing a lot about ethics with algorithms, whether that’s fake news or bias or about applying algorithms for social good.

What are your biggest concerns about AI? What do you think needs to be addressed in order for us to feel more comfortable as a society with increased use of AI?

That’s not an easy answer; it’s something our society is going to be grappling with for years. From what I’ve learned at this conference, from what I’ve read and tried to understand, it’s a multidimensional solution. You’re going to need computer programmers to learn the technical skills to make their algorithms less biased. You’re going to need companies to hire those people and say, “This is our goal; we want to create an algorithm that’s fair and can do good.” You’re going to need the general society to ask for that standard. That’s my generation’s job, too. WikiLeaks, a couple of years ago, sparked the conversation about personal privacy and I think there’s going to be more sparks.

Seems like your high school is doing some interesting work in terms of incorporating both STEM and a deeper, more creative than usual focus on ethics and exploring the meaning of life. How would you say that Exeter in particular is trying to combine these issues?

I’ll give a couple of examples of my experience with that in my time at Exeter, and I’m very privileged to go to a school that has these opportunities and offerings for its students.

Don’t worry, that’s in my next question.

Absolutely. With the computer science curriculum, starting in my ninth grade they offered a computer science 590 about [introduction to] artificial intelligence. In the fall another 590 course was about self driving cars, and you saw the intersection between us working in our robotics lab and learning about computer vision algorithms. This past semester, a couple students, and I was involved, helped to set up a 999: an independent course which really dove deep into machine learning algorithms. In the fall, there’s another 590 I’ll be taking called social innovation through software engineering, which is specifically designed for each student to pick a local project and to apply software, coding or AI to a social good project.

I’ve spent 15 years working at Harvard and MIT. I’ve worked around a lot of smart and privileged people and I’ve supported them. I’m going to ask you a question about Exeter and about your experience as a privileged high school student who is getting a great education, but I don’t mean it from a perspective of it’s now me versus you.

Of course you’re not.

I’m trying to figure this out for myself as well. We live in a world where we’re becoming more prepared to talk about issues of fairness and justice. Yet by even just providing these extraordinary educational experiences to people like you and me and my students or whomever, we’re preparing some people for that world better than others. How do you feel about being so well prepared for this sort of world to come that it can actually be… I guess my question is, how do you relate to the idea that even the kinds of educational experiences that we’re talking about are themselves deepening the divide between haves and have nots?

I completely agree that the issue between haves and have nots needs to be talked about more, because inequality between the upper and the lower classes is growing every year. This morning, Mr. Isbell from Georgia Tech talk was really inspiring. For example, at Phillips Exeter, we have a social service club called ESA which houses more than 70 different social service clubs. One I’m involved with, junior computer programming, teaches programming to local middle school students. That’s the type of thing, at an individual level and smaller scale, that people can try to help out those who have not been privileged with opportunities to learn and get ahead with those skills.

What Mr. Isbell was talking about this morning was at a university level and also tying in corporations bridge that divide. I don’t think that the issue itself should necessarily scare us from pushing forward to the frontier to say, the possibility that everybody who does not have a computer science education in five years won’t have a job.

Today we had that debate about role or people’s jobs and robot taxes. That’s a very good debate to have, but it sometimes feeds a little bit into the AI hype and I think it may be a disgrace to society to try to pull back technology, which has been shown to have the power to save lives. It can be two transformations that are happening at the same time. One, that’s trying to bridge an inequality and is going to come in a lot of different and complicated solutions that happen at multiple levels and the second is allowing for a transformation in technology and AI.

What are you hoping to get out of this conference for yourself, as a student, as a journalist, or as somebody who’s going into the industry?

The theme for this conference is the future of the workforce. I’m a student. That means I’m going to be the future of the workforce. I was hoping to learn some insight about what I may want to study in college. After that, what type of jobs do I want to pursue that are going to exist and be in demand and really interesting, that have an impact on other people? Also, as a student, in particular that’s interested in majoring in computer science and artificial intelligence, I was hoping to learn about possible research projects that I could pursue in the fall with this 590 course.

Right now, I’m working on a research project with a Professor at the University of Maryland about eliminating bias in machine learning algorithms. What type of dataset do I want to apply that project to? Where is the need or the attention for correcting bias in the AI algorithms?

As a journalist, I would like to write a review summarizing what I’ve learned so other [Exeter students] can learn a little too.

What would be your biggest critique of the conference? What could be improved?

#Miscellaneous

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pharmaphorumuk · 6 years ago

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GSK hires former Genentech expert for AI unit

GlaxoSmithKline has hired computational drug design specialist Dr Kim Branson to expand its artificial intelligence and machine learning unit.

Branson joins the pharma group as senior vice president and global head of AI and machine learning after holding positions at a number of Silicon Valley firms – including Hessian Informatics, Lumiata and Gliimpse – as well as a one-year posting as head of AI at Genentech that concluded in April.

Branson (pictured) received a BSc in Biochemistry from the University of Adelaide in 1999, and went on to complete a PhD in Computational Drug Design at the University of Melbourne in 2003. He has been working on large-scale machine learning and medical informatics initiatives for more than 15 years.

At GSK, Branson will report to Tony Wood, the company’s SVP for medical science and technology, who is based in San Francisco, said a spokesperson. He is the second recent recruit to the team after Jeremy England, senior director of AI and machine learning, who is a former physics professor at MIT and will be based in Boston.

GSK’s entire AI/machine learning team numbers approximately 50 staff and is spread out across key GSK R&D sites in Philadelphia, San Francisco, Boston, Germany, and Stevenage in the UK.

The company has been steadily building its computational drug discovery platform and was an early entrant into the field when it started working with IBM and its Watson for Drug Discovery platform back in 2013.

Since then, the company has added to the headcount working in this area – recruiting Karenann Terrell to the newly-created post of chief digital and technology officer in 2017 – and signed a number of deals to build its expertise in applying AI to drug discovery projects.

Those included a project last year with Cloud Pharmaceuticals to design novel small-molecule agents to GSK-specified targets, similar to two deals signed in 2017 with Scottish firm ExScientia and Insilico Medicine.

It also has a collaboration with the US Department of Energy and National Cancer Institute to accelerate preclinical drug development by using computational technologies, and is part of the Accelerating Therapeutics for Opportunities in Medicine (ATOM) Consortium, which aims to use AI to go from drug target to drug candidate in less than a year.

In the meantime, IBM has reportedly decided to abandon Watson for Drug Discovery because of poor sales, although the platform is still being used for other applications.

Speaking on GSK’s first-quarter results call in May, GSK’s R&D head Hal Barron said that AI and machine learning is a key part of the company’s efforts to improve R&D productivity, particularly in light of the massive data sets emerging from gene sequencing and functional genomics studies that are trying to tease out new disease and drug targets.

“We really do believe that machine learning and artificial intelligence applied to these highly dimensional data sets can unravel the biology in a pretty profound way,” he told analysts on the call.

The post GSK hires former Genentech expert for AI unit appeared first on Pharmaphorum.

from Pharmaphorum https://pharmaphorum.com/news/gsk-hires-former-genentech-expert-for-ai-unit/

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angrygiveralpaca · 4 years ago

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Best AI Courses in Asian Nation

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rickhorrow · 8 years ago

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15 TO WATCH: RICK HORROW’S TOP SPORTS/NEWS/BUSINESS/MARKETING/ENDORSEMENT ISSUES FOR THE WEEK OF FEBRUARY 13

with Jamie Swimmer

In sports, as in life, sometimes the biggest actions come from the smallest voices. Starting a week in which Nike launched its massive “Equality” initiative, designed to bring attention to racial justice,” via multipage newspaper ads starring LeBron James, Serena Williams, Megan Rapinoe, and Kevin Durant, and in a corresponding spot that aired during the Grammys, a New Jersey coed youth basketball team decided to forfeit its entire season rather than kick two female teammates off the team. After a New Jersey CYO league director handed down the ruling that a coed basketball team was not allowed in the boy’s league, players on the St. John’s fifth grade team voted unanimously to forego the season, according to NJ.com. “After the opposing team left the gym as did the officials,” the St. John’s team split up and scrimmaged each other…wearing #UnityGames T-shirts. In a time in which we need it more than ever, these youngsters didn’t just hypothesize that sports delivers unity. They proved it.

As the NBA gears up for its annual All-Star break in New Orleans, the Brooklyn Nets become the fourth NBA team to sign a jersey sponsor. According to SportsBusiness Journal, Brooklyn Sports & Entertainment announced a deal between the Nets and software company Infor. Sources close to the deal report that Infor will pay the team $8 million annually to have its patch on the jersey front. In addition to the patch, Infor will have a new branding presence throughout Barclays Center and the HSS Training Center in Brooklyn. This marks Infor's “first North American sports sponsorship.” The Nets now join the Philadelphia 76ers (StubHub), Boston Celtics (GE), and Sacramento Kings (Blue Diamond) as the only teams to have signed jersey sponsors thus far. Over the next three years, teams will evaluate the additional revenue, corporate partnerships, and activation opportunities and undoubtedly refine and expand the program. StubHub as a pioneer, GE as a blue chip company, and other corporations will weigh in to increase creative corporate participation in the NBA and other sports.

Golden State Warriors guard and Under Armour golden boy Stephen Curry usually stays away from political statements, but not this time. Curry publicly responded to comments about Donald Trump made by Under Armour Founder & CEO Kevin Plank. According to the East Bay Times, Plank shared with CNBC’s “Fast Money Halftime Report” that it “is a real asset for the country” to have “such a pro-business President.” The comments left Curry questioning whether or not Under Armour had changed its values. “Every mantra that I live by, they share that,” said Curry. “And so when you blur the lines of business and politics, there is an opportunity for things to get muddy.” Plank and Curry reportedly have since spoken to clarify any confusion, and Under Armour has moved quickly to cover its tracks. Regardless of party affiliation, sports messages and endorsements are highly visible, frequently watched, and largely misconstrued.

As pitchers and catchers prepare to report to spring training in Lakeland, Florida, Detroit Tigers fans and the sports industry prepare to mourn owner Mike Illitch. Illitch, who "rose from a humble west-side neighborhood to assemble a food, sports and entertainment empire that enabled him to return the Stanley Cup to Hockeytown, build both a new arena and a ballpark," passed away on Friday at the age of 87, according to the Detroit Free Press. Under Ilitch, the Tigers made two trips to the World Series and the Red Wings won four Stanley Cups. A private man, Ilitch bought the Red Wings in 1982, purchased the Tigers a decade later from Domino's Pizza Founder Tom Monaghan, and fought through complicated political and funding issues to get a the ballpark now known as Comerica Park completed. He also turned Little Caesars Pizza into a $3.4 billion business, "invested in downtown Detroit long before anyone else, and turned the Tigers and Red Wings into perennial contenders." This old school owner built a sports and community legacy that should serve as a model for generations of franchise owners to come.

Despite losing in heartbreaking fashion to the Patriots in Super Bowl LI, the Atlanta Falcons continue to sell PSLs at a high rate. According to The Daily, the team’s ticket sales for the soon-to-be-open Mercedes-Benz Stadium are still going strong into the offseason. “From the conclusion of the game through the close of business Monday, the Falcons received 560 unique inbound requests for PSLs and tickets at the venue.” That marker is the highest number of inbound ticket requests the day following a game all season, including playoffs. “In the same period, 256 PSL sales were completed online, the highest single-day online sales total since sales began.” The Falcons have now sold just over 76% of all available PSLs “and suite inventory is at 90% sold.” The new stadium is expected to be among the league’s finest – right up there with AT&T Stadium in Dallas and U.S. Bank Stadium in Minneapolis. The opening of Mercedes-Benz Stadium should continue the Falcons upward trajectory in value and league importance (regardless of the final 24 minutes of Super Bowl LI).

In preparing for the 2022 World Cup, Qatar faces a challenge that other host countries have shared: it needs to build not only soccer stadiums, but cities. According to the BBC, Qatar is spending an astonishing $500 million per week on major infrastructure projects in preparation for the 2022 soccer tournament. Qatar Finance Minister Ali al-Emadi confirmed this number and noted that he expects the spending to continue at this rate for “three to four years as new stadiums, motorways, rail links and hospitals are built.” In total, more than $200 billion will be spent by the Middle-Eastern country – far more than the 2014 World Cup in Brazil, which reportedly cost that country $11 billion. Al-Emadi expects all of the projects to be completed on time for the beginning of the tournament, though complaints about migrant worker conditions plague the Qatar building process. Precedent for the mega-infrastructure build: Dubai and Abu Dhabi were constructed almost overnight into two and four million respective populations. Oil money, enlightened development expertise, and world-class infrastructure propelled the United Arab Emirates – let’s see what happens in neighboring Qatar.

The British are making a significant investment to secure their first America’s Cup victory in 166 years. According to the London Times, racing star Sir Ben Ainslie has “launched the boat which he hopes will win the America’s Cup back from Great Britain.” The boat, named Rita, like all of Ainslie’s boats, was developed in collaboration with Land Rover and cost upwards of $125 million. The hope is that a combination of Ben Ainslie’s “proven genius as a racer, the best technologies harnessed from the British automotive industry and cutting-edge design can make 2017 a landmark year.” The boat has an “F-1-style” to it, with aerodynamic improvements created with the assistance of artificial intelligence that are meant to give the boat an advantage over its competitors. “The America’s Cup is the one we have never won,” said Ainslie. “It’s a bit of a sore point. We want to get the job done and bring the cup home.” When countries throw substantial infrastructure, public support, and funding toward a sport, success usually follows (see Chinese gymnastics). Interesting to look forward to British sailing and Tokyo 2020.

In wake of the nation’s state-sponsored doping scandal, Russia is set to be banned from this summer’s World Para Athletics Championships in London. According to the London Telegraph, Russia was expelled from the “International Association of Athletics Federation’s version of the event” following its orchestration of the “biggest doping scandal in history.” The scandal plagued Russia in its build-up to the 2016 Rio de Janeiro Olympics this past summer as well. While a final decision on this matter will not be made until May, the Russian Anti-Doping Agency would need to be declared compliant with the World Anti-Doping Code before the event takes place if it wants to participate, which is not possible; the earliest RUSADA is expected to be "declared compliant" with the WADA code is November. The head of the World Athletics Championships said he now "backs Russia’s exclusion from the event because of the country’s continuing refusal to admit that it had a state-organized doping system." Hopefully, the bans are not met with controversy, denial, and political intrigue. Rather, a common vision toward credibile antidoping measures and long-term cleanup.

The Golden State Warriors are the best team in basketball and their ticket prices reflect just that. According to ESPN.com, the Warriors are “raising ticket prices once again,” with increases coming between 15-25%. A courtside seat will now cost you $715, up from $625, while the cheapest seat in Oracle Arena will rise from $32 to $40. At the start of the Warriors' "recent run of success," the 2014-2015 title season, the "cheapest season-ticket price seat was $18, while courtside was $450 a game." The team’s season-ticket holder waiting list is growing at a similarly fast clip – more than 32,000 people are now waiting for season tickets. “It is the cost of doing business,” said co-owner Joe Lacob. “We have a great product and we have to pay for that product…As long as our fans want that product and we can deliver it, we’re going to do what we can.” As the Warriors continue to improve on the court and begin building their new San Francisco arena, look for variable pricing and other methods to allow consumer choice.

Sources close to the Chicago Bulls have confirmed that the team’s front office duo of John Paxson and Gar Forman “are safe” through at least next season. According to the Chicago Tribune, Paxson, Executive Vice President/Basketball Operations, and Forman, General Manager, have been under fire over the past few years following the Bulls’ underwhelming results. A source added that the Reinsdorf ownership trusts Paxson and Forman to the point that the two would keep their jobs “even if the Bulls miss the postseason for a second straight season.” The Bulls missed big on free agency years ago when they signed Carlos Boozer instead of LeBron James, and the team’s signing of Rajon Rondo this past summer has been nothing short of controversial. “I don't know how they still have their jobs today," said Steve Rosenbloom of the Chicago Tribune. “This doesn't sound like happy news for Bulls fans hoping to see another championship in their lifetime.” The Bulls’ Michael Jordan legacy is safe, but other iconic franchises have built long-term success stories as well. Hopefully for Chicago, the Bulls will find a way to get back to the top of the basketball mountain.

The upstart Drone Racing League has a new sponsor: German insurance group Allianz. According to the London Times, Allianz reportedly signed a sponsorship deal with the DRL worth more $10 million over two years, with plans to further “extend the partnership over five years.” Allianz is a very active sponsor of numerous sports leagues and teams across the world; its portfolio “currently includes Saracens rugby club, Formula 1, Bayern Munich and stadia across Europe.” The DRL currently airs on Sky Sports and ESPN and has Miami Dolphins owner Stephen Ross signed on as a key investor for the American start-up. Founder Nick Horbaczewski described the deal with Allianz as a “huge milestone” for the league, which continues to gain popularity globally. “Allianz brings an incredible brand and brand credibility to the sport, so I think it is a major legitimizing moment,” said Horbaczewski. Look for the Drone Racing League to be one of the fastest growing “niche sports” on the landscape in the next 3-5 years: venues, sponsorships, television, etc. All of the right ingredients.

The San Diego Chargers are officially gone, but that void may soon be filled by an MLS franchise. According to the San Diego Union-Tribune, San Diego State has been “relatively quiet” on a proposal from a group of local investors to build an MLS stadium in San Diego. The proposed stadium would seat 30,000, but pushback against the plan call it “settling,” and that it is “small-time.” The SDSU football team “averaged 37,289 over six home games,” thus exceeding the capacity for the new stadium if built to its planned size. SDSU played a game at Qualcomm Stadium this past season, and the crowd of 35,000 made the game “seem like it was being played inside a library.” “We’re still discussing what that top end is going to be. It will be expandable to 40,000. That will be in the plan as we work with the architects and we lay out what the stadium site will look like,” said SDSU AD John David Wicker. Look for increased political momentum to support this project, especially since the San Diego region may view this as the “last great chance” to build a new facility to attract/keep major sports events.

The Chicago Cubs’ success has directly translated into more business for Wrigley Field. According to Crain’s Chicago Business, Wrigley Field is near its limit for night events in 2017 after adding a Lady Gaga concert recently. The historic baseball stadium has “nine concert dates on the docket for this summer, breaking last year’s record of seven.” Adding night concerts might appear to have no direct effect on the Cubs, but this now leaves the team “little wiggle room to add night games this season without having to give up night games in 2018 under terms of a city ordinance.” The city ordinance states that the Cubs can only schedule up to 35 night games or night events each season, so every night concert added means one less night game for the reigning World Champions. As it currently stands, the Cubs have 29 scheduled night games, “meaning the five extra concerts put them at 34 night events for the year.” Inevitably, the Cubs are the “biggest thing in Chicago.” The organization predictably attempts to capitalize on the goodwill, though the neighborhood location of Wrigley Field provides economic, physical, and logistical challenges.

The Olympics will be without longtime host Bob Costas going forward, ending the primetime host’s “record-setting run that saw him host 11 Games” for NBC since 1992. According to SportsBusiness Journal, Mike Tirico will replace Costas starting with the 2018 PyeongChang Winter Olympics. Costas is speculated to remain a part of the Olympics though, from producing some special pieces to adding voice-overs to some stories. NBC Broadcasting & Sports Chair Mark Lazarus confirmed that Costas will be taking a significant “step back” in terms of his day-to-day role, though he will remain as one of the network’s key talents for its “big and iconic events.” “This is a great way to pass the torch from one iconic figure to someone who’s on his way to becoming an iconic figure in the sports broadcasting world,” said Lazarus. Costas had been planning on reevaluating his role with the network for years, but thought it would be best to stay committed through the 2016 Rio Olympics. Enberg, Scully, Musburger, Gowdy – Costas. Hopefully, the next generation of “iconic broadcasters” can live up to this legacy.

Following a horrendous 1-15 season, the Cleveland Browns will reduce season ticket costs by 40%. According to the Akron Beacon Journal, this coming season will mark the eighth time in nine years that the team will not raise ticket prices. The Browns will now rank “either 31st or 32nd in the NFL for season-ticket prices per game this year.” Meanwhile in Chicago, the Bears are raising ticket prices following two years of stagnant prices. Most Soldier Field sections will receive a 1-4% price increase, while “some will see a price decrease.” The increase comes to the displeasure of many after “each of the final four homes games were played before at least 10,000 empty seats at Solider Field.” The Los Angeles Rams, finally, informed season-ticket holders that prices will not go up at the L.A. Coliseum. Prices are expected to "increase dramatically" in 2019 when their new $2.6 billion stadium opens, which will include the cost of PSLs. Good to see that the ticket market bears some resemblance to on-field performance (at least in Cleveland). Obviously, the pricing will go “through the roof” in Los Angeles when the new stadium opens. As for Chicago, raising prices after last year’s performance merely means that the Bears have new incentives to turn their on-field performance around.

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mastcomm · 5 years ago

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Design Shows Take On the Future. And It’s Not Pretty.

Today, museum curators are promoting the view that conspicuous consumption is bad for the planet, that luxury items exclude those who can’t afford them, and that designers need to acknowledge differently shaped and differently abled bodies. Current shows are meant to provoke conversation, not admiration.

Tables and chairs that once delighted viewers with their technical virtuosity and sleek good looks “are about the past,” said Paola Antonelli, senior curator of architecture and design at the Museum of Modern Art. “As representatives of life, objects are not the way to go.”

Ms. Antonelli’s show, “Broken Nature,” a major statement about climate change and the disasters that await humanity, starred at the Milan Triennale last spring. It offered not a single object chosen for its visual power, but rather for the possibilities they represented. New Yorkers will have a chance to see a portion of the exhibition at MoMA in June. Cooper Hewitt’s recent Triennial, “Nature,” followed a similar path, also focusing more on science and technology than beauty.

Now comes the equally thought-provoking and process driven “Designs for Different Futures,” at the Philadelphia Museum of Art, filled with prototypes and products said to be sustainably, or ethically, cultivated. It tackles issues from housing to food, privacy to health, and expands the world of design to include many visions of the future. It took five curators to organize, and they all see the future differently. In some galleries, an anti-beauty aesthetic reigns.

“The show is about world building as much as about design,” said Emmet Byrne, the design director at the Walker Art Center, and a member of the curatorial team here.

While the exhibition professes to be about the future, in many ways it’s about the present — even the recent past — dealing with our current obsessions, worries and hopes, from medical science to the fate of the earth. Beginning work on the project in 2014, Kathryn B. Hiesinger, Philadelphia’s senior curator, planned to focus on visually engaging products, the same approach she used in 1981, in her groundbreaking exhibition “Design Since 1945.” That encyclopedic presentation and catalog introduced work by midcentury modernists including the Eameses, Dieter Rams and Hans Wegner, and George Nelson to a new generation of home buyers and design cognoscenti.

But her current collaborators pushed the show in a different direction. “It’s issue driven, not design driven,” explains Ms. Hiesinger. “It’s what this generation is interested in.”

The installation showcases 11 different categories, a dizzying variety of disciplines and practices. Visitors at the entrance are greeted with a towering mass of inflated white plastic spheres filled with water and air, created by a group of Finnish architects led by Eero Lundén for the 2018 Venice Architectural Biennial. They are constantly moving, burping like giant bubbles, reacting to subtle shifts in the environment. The designers posit that in the future, buildings will not be static but will be able to change and adapt to their surroundings — becoming symbiotic, not anthropocentric. You’ll need to read the wall text to get the point.

Similarly, a section devoted to food — packed with ideas from Orkan Telhan, an associate professor of emerging design practices at the University of Pennsylvania School of Design — offers projects that demand more information. Meat grown from human cells, with the help of engineered microbes taken from expired blood cells, is elegantly arrayed on a plate, ready for a photo shoot. Two fish are encased in plastic frames; one has been freshly caught; the other, larger and healthier looking, has been genetically modified, underscoring Mr. Telhan’s argument that G.M.O. food has been unfairly stigmatized. He writes in the show’s catalog that fear-mongering media campaigns, supported by various interest groups, have swayed the argument. Unfortunately the explanatory captions are at some remove on a wall filled with dense type.

Many of the projects in a section called “Powers” are deliberately unsettling, and address the dark side of the future. The information artist Heather Dewey-Hagborg offers ‘‘Stranger Visions,” a series of 3-D printed facial portraits created from DNA she recovered from discarded items, such as hair, cigarette butts and chewed gum collected from New York City sidewalks — without their owners’ knowledge or consent. Ms. Dewey-Hagborg tacitly raises the point that attention must be paid to the emerging field of forensic DNA technology. (The project dates to 2012-2013.)

To help outwit Big Brother-style surveillance, this section also includes the “ZXX Typeface” designed by Sang Mun, which cannot be read by artificial intelligence. A costume is included from “The Handmaid’s Tale,” an almost de rigueur inclusion in museum shows these days. “CV Dazzle,” by Adam Harvey, employs extreme hair styling and makeup to break apart the features of a face to trick facial recognition algorithms.

Chairs finally make an appearance in a section about the future of materials. “Voxelchair V 1.0” is a robotically printed 3-D chair. This assemblage of small tinted blue plastic cubes was created by Manuel Jimenez Garcia and Gilles Retsin, co-founders of the Design Computation Lab at the Bartlett School of Architecture, who created a program that gives designers greater control of the 3-D printing process (voxels are three-dimensional pixels). The chair, produced in collaboration with Nagami Design, may represent a technical feat, but sadly doesn’t look like an inviting place to sit.

Joris Laarman’s “Makerchair Polygon” is downloadable, built from digitally fabricated 3-D parts that fit together like an elaborate jigsaw puzzle. Mr. Laarman reduced the design to manageable components to enable production on a home 3-D printer. Coincidentally, both of the seats were modeled on Verner Panton’s S-shaped stacking chair designed in 1960 — which is probably much more comfortable (no test sitting was allowed).

For a future which some suggest will be dominated by artificial intelligence and robots, there are, surprisingly, many do-it-yourself projects in this exhibition. The artist and bio-hacker Mary Maggic imagines a time when estrogen will be freely available for personal use with both her conceptual “Estrofem Lab,” a pair of suitcases packed with chemical equipment meant for home use and “Housewives Making Drugs,” a simulated TV show, where women concoct their own hormone supplements easily as Martha Stewart makes cookies.

To call “Designs for Different Futures” ambitious, is an understatement. There are so many ideas on view that it’s hard to take everything in with one visit. By the time the show reaches the Chicago Art Institute a year from now, the curator Zoe Ryan said, some of the current objects might be supplanted by newer ideas. “We’ll be in a different place but the issues will be the same.”

Many of the solutions seen here are hopeful; children’s clothing that grows with the wearer would save parents money and reduce landfill; textiles woven from seaweed provide a renewable planet-friendly material for designers. Others, such as “Raising Robotic Natives,” are speculative projects designed to raise eyebrows. This industrial robot arm to feed the baby is meant to save parents’ time — but would anyone want this menacing factory-like object in a nursery? (The designers are raising this very question.)

To give visitors time to decompress and absorb what they’ve just seen, the show ends at a Future Therapies Lab, a space to sit down, read and even make art. Books are arrayed along one wall providing follow-up information and ideas. Curling up with an old-fashioned good read may be the best way to cope with what lies ahead.

Designs for Different Futures

Through March 8 at the Philadelphia Museum of Art, 2600 Benjamin Franklin Parkway; 215-763-8100, philamuseum.org. The show travels to the Walker Art Center in Minneapolis and the Art Institute of Chicago.

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chaj · 6 years ago

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via www.pyimagesearch.com

In today’s blog post, I interview Dr. Paul Lee, a PyImageSearch reader and interventional cardiologist affiliated with NY Mount Sinai School of Medicine.

Dr. Lee recently presented his research at the prestigious American Heart Association Scientific Session in Philadelphia, PA where he demonstrated how Convolutional Neural Networks can:

Automatically analyze and interpret coronary angiograms

Detect blockages in patient arteries

And ultimately help reduce and prevent heart attacks

Furthermore, Dr. Lee has demonstrated that the automatic angiogram analysis can be deployed to a smartphone, making it easier than ever for doctors and technicians to analyze, interpret, and understand heart attack risk factors.

Dr. Lee’s work is truly remarkable and paves the way for Computer Vision and Deep Learning algorithms to help reduce and prevent heart attacks.

Let’s give a warm welcome to Dr. Lee as he shares his research.

An interview with Paul Lee – Doctor, Cardiologist and Deep Learning Researcher

Adrian: Hi Paul! Thank you for doing this interview. It’s a pleasure to have you on the PyImageSearch blog.

Paul: Thank you for inviting me.

Figure 1: Dr. Paul Lee, an interventional cardiologist affiliated with NY Mount Sinai School of Medicine, along with his family.

Adrian: Tell us a bit about yourself — where do you work and what is your job?

Paul: I am an interventional cardiologist affiliated with NY Mount Sinai School of Medicine. I have a private practice in Brooklyn.

Figure 2: Radiologists may one day be replaced by Computer Vision, Deep Learning, and Artificial Intelligence.

Adrian: How did you first become interested in computer vision and deep learning?

Paul: In a New Yorker magazine’s 2017 article titled A.I. Versus M.D. What happens when diagnosis is automated?, George Hinton commented that “they should stop training radiologists now”. I realized that one day AI will replace me. I wanted to be the person controlling the AI, not the one being replaced.

Adrian: You recently presented your work automatic cardiac coronary angiogram analysis at the American Heart association. Can you tell us about it?

Paul: After starting your course two years ago, I became comfortable with computer vision technique. I decided to apply what you taught to cardiology.

As a cardiologist, I perform coronary angiography to diagnose whether my patients have blockages in their arteries in the heart that can cause heart attack. I wondered whether I can apply AI to interpret coronary angiograms.

Despite many difficulties, thanks to your ongoing support, the neural networks learned to interpret these images reliably.

I was invited to present my research at American Heart Association Scientific Session in Philadelphia this year. This is the most important research conference for cardiologists. My poster is titled Convolutional Neural Networks for Interpretation of Coronary Angiography (CathNet).

(Circulation. 2019;140:A12950; https://ahajournals.org/doi/10.1161/circ.140.suppl_1.12950) ; the poster is available here: https://github.com/AICardiologist/Poster-for-AHA-2019)

Figure 3: Normal coronary angiogram (left) and stenotic coronary artery (right). Interpretation of angiograms can be subjectives and difficult. Computer vision algorithms can be used to make analyzations more accurate.

Adrian: Can you tell us a bit more about cardiac coronary angiograms? How are these images captured and how can computer vision/deep learning algorithms better/more efficiently analyze these images (as compared to humans)?

Paul: For definitive diagnosis and treatment of coronary artery disease (for example, during heart attack), cardiologists perform coronary angiogram to determine the anatomy and the extent of the stenosis. During the procedure, cardiologists put a narrow catheter from the wrist or the leg. Through the catheter, we inject contrast into the coronary arteries and the images are captured by X-ray. However, the interpretation of the angiogram is sometimes difficult: computer vision has the potential to make these determinations more objective and accurate.

Figure 3 (left) shows a normal coronary angiogram while Figure 3 (right) shows a stenotic coronary artery.

Adrian: What was the most difficult aspect of your research and why?

Paul: I only had around 5000 images.

At first, we did not know why we had so much trouble getting high accuracy. We thought our images were not preprocessed properly, or some of the images were blurry.

Later, we realized there was nothing wrong with our images: the problem was that ConvNets require lots of data to learn something simple to our human eyes.

Determining whether there is a stenosis in a coronary arterial tree in an image is computationally complex. Since sample size depends on classification complexity, we struggled. We had to find a way to train ConvNets with very limited samples.

Adrian: How long did it take for you to train your models and perform your research?

Paul: It took more than one year. Half the time was spent on gathering and preprocessing data, half the time on training and tuning the model. I would gather data, train and tune my models, gather more data or process the data differently, and improve my previous models, and keep repeating this circle.

Figure 4: Utilizing curriculum learning to improve model accuracy.

Adrian: If you had to pick the most important technique you applied during your research, what would it be?

Paul: I scoured PyImageSearch for technical tips to train ConvNets with small sample number of samples: transfer learning, image augmentation, using SGD instead of Adam, learning rate schedule, early stopping.

Every technique contributes to small improvement in F1 score, but I only reached about 65% accuracy.

I looked at Kaggle contest solutions to look for technical tips. The biggest breakthrough was from a technique called “curriculum learning.” I first trained DenseNet to interpret something very simple: “is there a narrowing in that short straight segment of artery?” That only took around a hundred sample.

Then I trained this pre-trained network with longer segments of arteries with more branches. The curriculum gradually build complexity until it learns to interpret the stenosis in the context of complicated figures. This approach dramatically improved our test accuracy to 82%. Perhaps the pre-training steps reduced computational complexity by priming information into the neural network.

“Curriculum learning” in the literature actually means something different: it generally refers to splitting their training samples based on error rates, and then sequencing the training data batches based on increasing error rate. In contrast, I actually created learning materials for the ConvNet to learn, not just re-arrange the batches based on error rate. I got this idea from my experience of learning foreign language, not from the computer literature. At the beginning, I struggled to understand newspaper articles written in Japanese. As I progressed through beginner, then to intermediate, and finally to advanced level Japanese curriculum, I could finally understand these articles.

Figure 5: Example screenshots from the CathNet iPhone app.

Adrian: What are your computer vision and deep learning tools, libraries, and packages of choice?

Paul: I am using standard packages: Keras, Tensorflow, OpenCV 4.

I use Photoshop to cleanup the images and to create curriculums.

Initially I was using cloud instances [for training], but I found that my RTX 2080 Ti x 4 Workstation is much more cost effective. The “global warming” from the GPUs killed my wife’s plants, but it dramatically speeded up model iteration.

We converted our Tensorflow models into an iPhone app using Core ML just like what you did for your Pokemon identification app.

Our demonstration video for our app is here:

youtube

Adrian: What advice would you give to someone who wants to perform computer vision/deep learning research but doesn’t know how to get started?

Paul: When I first started two years ago, I did not even know Python. After completing a beginner Python course, I jumped into Andrew Ng’s deep learning course. Because I needed more training, I began PyImageSearch guru course. The materials from Stanford CS231n are great for surveying the “big picture” but PyImageSearch course materials are immediately actionable for someone like me without computer science background.

Adrian: How did the PyImageSearch Gurus course and Deep Learning for Computer Vision with Python book prepare you for your research?

Paul: PyImageSearch course and books armed me with OpenCV and TensorFlow skills. I continuously return to the materials for technical tips and updates. Your advice really motivated me to push forward despite obstacles.

Adrian: Would you recommend the PyImageSearch Gurus course or Deep Learning for Computer Vision with Python to other budding researchers, students, or developers trying to learn computer vision + deep learning?

Paul: Without reservation. The course converted me from a Python beginner to a published computer vision practitioner. If you are looking for the most cost- and time-efficient way to learn Computer Vision, and if you are really serious, I wholeheartedly recommend PyImageSearch courses.

Adrian: What’s next for your research?

Paul: My next project is to bring computer vision to the bedside. Currently, clinicians are spending too much time on their desktop computer during office visit and hospital rounds. I hope our project will empower clinicians to do what they do best: spending time at the bedside caring for patients.

Adrian: If a PyImageSearch reader wants to chat about your work and research, what is the best place to connect with you?

Paul: I can be reached at my LinkedIn account and I look forward to hearing from your readers.

Summary

In this blog post, we interviewed Dr. Paul Lee (MD), an interventional cardiologist and Computer Vision/Deep Learning practitioner.

Dr. Lee recently presented a poster at the prestigious American Heart Association Scientific Session in Philadelphia, PA where he demonstrated how Convolutional Neural Networks can:

Automatically analyze and interpret coronary angiograms

Detect blockages in patient arteries

Help reduce and prevent heart attacks

The primary motivation for Dr. Lee’s work was that he understood that one day radiologists would one day be replaceable by Artificial Intelligence.

Instead of simply accepting that fate, Dr. Lee decided to take matters in his own hands — he strove to be the person building that AI, not the one being replaced by it.

Dr. Lee not only achieved his goal, but was able to publish his work at a distinguished conference, proof that dedication, a strong will, and the proper education is all you need to be successful in Computer Vision and Deep Learning.

If you want to follow in Dr. Lee’s footsteps, be sure to pick up a copy of Deep Learning for Computer Vision with Python (DL4CV) and join the PyImageSearch Gurus course.

Using these resources you can:

Perform research worthy of being published in reputable journals and conferences

Obtain the knowledge necessary to finish your MSc or PhD

Switch careers and obtain a CV/DL position at a respected company/organization

Successfully apply deep learning and computer vision to your own projects at work

Complete your hobby CV/DL projects you’re hacking on over the weekend

I hope you’ll join myself, Dr. Lee, and thousands of other PyImageSearch readers who have not only mastered computer vision and deep learning, but have taken that knowledge and used it to change their lives.

I’ll see you on the other side.

To be notified when future blog posts and interviews are published here on PyImageSearch, just be sure to enter your email address in the form below, and I’ll be sure to keep you in the loop.

The post An interview with Paul Lee – Doctor, Cardiologist and Deep Learning Researcher appeared first on PyImageSearch.

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