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comatosestory · 4 years ago

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Chapter 2: Echoes

Tessere, 3046

It had been a week since Viktoria had suddenly awoken on Tessere, the steamy, dark, dreary world before her. It had been a world formerly of valleys, rivers, towering cities and prosperity. She had learned through Unit 312 however that this all came to a crashing end around a month ago. She was no longer in the year 2026, rather the year 3046. Humanity had long transcended from its cradle on Earth, soaring through the stars, forming a single, galaxy wide nation. The human population was estimated to be approaching one trillion individuals spread across the Milky Way and the Large Magellanic Cloud, climbing rapidly each day. Old Earth languages had long since faded away into memory, spoken only by a few stubborn rural areas of the most isolated colonies in the galaxy. However, 10 years ago, Humanity had awoken something, a race commonly referred to as Demons. Despite the vastness of the galaxy, this was humanities first encounter with intelligent life beyond that of their own making. A far-off world in the Large Magellanic Cloud, known to many as Golgotha, a barren red desert with small patches of lifeforms scattered across the wasteland. Ruined cities, hundreds of thousands of years old were scattered across the world. When the first Human colony ships had landed, the skies quickly blackened and red tinted skies overtook the region. As the settlers wizened to the seemingly cursed world and tried to escape, their ships were sent hurtling into the mountains, seemingly possessed by paranormal forces. The last survivors sent a transmission warning never to return to the world, documenting what had happened. Before the transmission ended, loud screams, emanating from a creature, a demon, bellowed, as the last of the colonists were quickly slaughtered.

Humanity had heeded this warning, prepping to lay waste to the world as a precaution. Before they could however, hundreds of nearby colonies in the region went dark; the first of thousands of worlds to succumb to the ruthless, genocidal scourge they faced. Humanity prepared for war, sending every available force to take back what was lost. What they faced was annihilation. While weapons were capable of killing demons, nothing short of nuclear weapons was effective in cleansing local demon forces.

Unit 312 took great care to teach Viktoria as much as it knew of the demons. "Danglers are essentially cannon fodder for the demons, however are significantly more terrifying than such comparison suggests. up to seven feet tall, bearing two large, thorny tentacles used to clutch victims before crushing them to death, or sometimes consuming them whole."

"Stalkers are tall, lanky demon forms found in late stages of an invasion. They scan the environment for any survivors, and hunt them down, often impaling prey with their sharp forearms." While other forms were known to exist, none had been encountered, or at least no one had survived one to report it.

Viktoria had spent the last week learning of all these details, aided by Unit 312. Uni, her nickname for Unit 312, had been learning to speak Albanian more fluently, picking up on Viktoria's mannerisms and structure. The distant castle she saw beyond the canyon had been stocked with food, and as she discovered, was the centerpiece of a decimated theme park. A small military base located a block away had supplies of armor and rifles, untouched from the invaders. Veronika had learned of Uni's past, constructed about 5 years ago to interact and help Tesserians in the event of a demon invasion. The invasion came, but it was far too massive for Uni and her fellow AI's to contain. Millions of people were killed in the onslaught, many thrown into pits such as the one Veronika had the misfortune of encountering. Veronika told Uni her upbringing, speaking wonders of her past, life in her home country, her 4 siblings and family. She wanted to see them again so badly, but she knew she couldn't. Not yet. Her life as a bartender was boring, but it paid the bills, so she did what she had to.

For the time being, everything had been calm. No demons had been encountered yet, and Veronika had been able to scavenge for various tools, even donning a rudimentary suit of armor she found. Steadily, she had been building endurance to run faster, farther, hit harder. She was preparing to fight for her life in an environment that no human had survived. The demons were capable of killing billions of people, but Veronika was determined not to be among them.

From nowhere, the sounds of crying echoed from overhead. Deafeningly loud distant weeping, almost as though the skies were the source of the despair. Her rifle made sparks as it dragged along the stone, Veronika pulled the rifle into her arms with near perfect form. She had to give Uni credit, for a machine it knew how to train a fighter in short time. Stepping outside the ruined hut she and Uni had lived in the past week, she began to recognize the sounds. Uni began speaking, but she ignored it. Her sister. Those tears were those of her sisters.

She began to speak, "Veronika, if you can hear me, just know that we love you, we love you so much. Just wake up. Please..." Another voice, this time an unfamiliar one. "Given we don't know what had happened, we can't be sure of when she will wake up. Besides being unable to wake up, we believe she is perfectly healthy. Analyzing her mental activities shown she's been under a great deal of stress, especially the first few days, but..." the voices faded.

"No, Lara? LARA! I CAN HEAR YOU! Please! Please..." Veronika screamed to the looming clouds overhead. More tears ran down her face. She had lost all emotions since the first night, and the pressing reminder than her family needed her left her shattered even more than she already was. She fell to her knees, dropping the rifle to the ground.

"Veronika, what is it? You must remain silent, they may hear you!" Uni spoke from behind her. Veronika stopped, staring at the skies waiting for a response to her cries, but none came.

"My... My sister, I heard her... I think, I'm in a coma?" She furiously began pinching herself, only to find that she felt every grasp at her own skin. If she wasn't dreaming, then what was that?

"Uni, what is happening to me?" She asked, staring into Uni's single eye.

"I cannot say for sure. From what I have learned from you, you aren't from this time, as your primary language has been extinct for centuries. Logically, you shouldn't even exist in this time period."

Uni's words did not bring Veronika comfort, because no amount of logic could explain her being where she is. And even if it could, there's no reason she should hear her family weeping over her comatose body back in Albania, a thousand years in the past. Her mind tore itself apart for answers, but none came to her.

She pulled herself together, just as a distant roar echoed from the forest.

"What the hell was that?" Veronika hesitantly asked.

"They know we're here, we have to go now!"

Viktoria had her rifle in hand now, readying herself for a potential firefight. Her blood ran cold with fear, but she didn't let it stop her from escaping what would be certain death. Scrambling to her feet, Viktoria and Uni sprinted, or floated in Uni's case, away from the campsite they had built. Either way, this was troublesome, as the Demons would know that someone was here and alive. The world, as Viktoria would come to know, was terraformed in a matter of weeks to better suite the presence of Demons. Humans by this point had all but been wiped away from the world.

"We need to find a place to hide, we are in no shape to fight any demon!" Uni said, her robotic voice filled with urgency. Viktoria silently nodded, and the pair began to make their way towards a former neighborhood. They were probably 20 kilometers from where Viktoria had woken up by this point, having traveled the vast majority of it within the past few days. They could see the former capital city of the world, which was surprisingly lucky for Viktoria given the circumstances, as it meant the chances of finding more resources. They sprinted into a house, finding the door broken in and the furniture torn to shreds. Glass shards scattered across the floor, the tiles in the floor either cracked or torn out by the Demons. Despite occurring mere weeks ago, the house looked as though it had been abandoned for years.

Descending into a wine cellar in the house, they found three bodies lie torn to shreds, dried blood splattered across the room. In that moment, this is not what surprised them. One of the bodies was that of a Demon.

"It's dead." Uni said, analyzing the Demon. Viktoria covered her mouth, choking down the urge to vomit once more. She examined the dead being, finding it vaguely human. It's skin was a burgundy color, bumpy, and covered in small horns across the skin. The being had no eyes, instead being reliant on its keen sense of smell and hearing by the looks of it. A glowing necklace hung from the being, barely scraping the surface of the floor. Viktoria cautiously approached the being, carefully removing the pendant from the monster. As she grabbed the jewel, a surge of energy flowed through her, she felt a surge of power flow through her. Her eyes flashed with energy, seeming to glow, she swore she could see the world around her as though she were a deity. She felt the urge to throw the necklace around her head, and in pulling the small chain around her hair, she felt the energy weaken slightly, but remain. Her eyes cleared up, and she glanced at Uni, who stared back at Viktoria. Or were they speaking?

"Viktoria! You're alright, good. You must be more careful! You can't just wear any piece of jewelry you find, especially not one you found on a Demon!"

"I... I think it did something to me Uni. I feel less tense, I feel some surge of energy. Can you check and make sure nothing bad is happening, because I think this might have been what allows for Demons to be so unusually powerful. I almost feel like this may be the source of their strength" Viktoria calmly said.

"You're fine, I can sense that power you mentioned. I can't make sense of where it comes from, however. Try a few things, see what you can do with it." Uni said, looking as relieved as a machine with a single glass eye can be.

"Alright, here goes nothing... FIRE!" She shouts, pointing her palm at the wall. Nothing happens. "Alright, not magic it seems" she thinks to herself. She closed her eyes and focused, focusing on the power flowing throughout her body. It seemed to intensify, growing stronger each moment she sat idle. Snapping her eyes open, she found herself falling to the floor.

"Ow? What the hell?" Viktoria, patting her side loudly said.

"You were floating! I can't believe it, you were floating Viktoria!" Uni excitedly shouted.

Viktoria concentrated, trying the move again. This time, she felt herself rise from the floor, she cautiously opened her eyes, trying her best to maintain focus. She was about half a meter above the floor, her feet hanging idly from her ascended body.

"Fire." She said, once again pointing her palms towards the wall. A ball of fire appeared in front of her palm, and flew at the wall, flames quickly spreading then quickly flickering out. She carefully let herself float down, gently settling back on her feet. Grinning at Uni, Viktoria felt something she hadn't felt in weeks- Hope.

"Let's go. We have a world to save."

#Fiction #SciFi #Horror #comatose

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sinrau · 5 years ago

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Tristan Harris, former Google design ethicist and co-founder of Center for Human Technology, appears before Congress in “The Social Dilemma.” (Netflix)

Picture, if you will, a high-tech voodoo doll of you on a server somewhere. Probably more than one server.

While the makers of that reverse-engineered avatar might not be sticking literal pins into it, in “The Social Dilemma,” filmmaker Jeff Orlowski makes a fine case that in mining data from your onscreen interactions, they are constructing a predictive version of you and trying to prick your interests and put a spell on your attention in historically unprecedented ways. (“The Social Dilemma” began streaming on Netflix this week.)

The quotes Orlowski begins his wake-up call of a documentary with — and peppers throughout — aren’t easy to top. There’s Sophocles’ “Nothing vast enters the world of mortals without a curse.” And this from sci-fi giant Arthur C. Clarke: “Any sufficiently advanced technology is indistinguishable from magic.” And this wry quip from data-visualization guru Edward Tufte: “There are only two industries that call their customers ‘users’: illegal drugs and software.”

Yet, here’s one to add: “Be afraid. Be very afraid.” It may not be as elegant as the others, but it represents the tone taken by the tech leaders interviewed by the Boulder-based director who investigated the extraordinary problems wrought by big-tech behemoths, particularly the ones that have entangled so many in the vast web of social media: Twitter, Facebook and Google.

Among the documentary’s smart and personable talking heads: Justin Rosenstein, co-inventor of Facebook’s “like” button; Tim Kendall, former president of Pinterest and former Facebook director of monetization; and Shoshana Zuboff, author of “The Age of Surveillance Capitalism.” (That book’s subtitle: “A Fight for a Human Future at the New Frontier of Power.”)

Tristan Harris, a former design ethicist at Google, became notable for writing an early internal and legendary document questioning the addictive tendencies of smartphone tech. Think Jerry Maguire’s manifesto after his dark night of the soul. Harris caused a buzz and then, well, crickets. He went on to co-found the Center for Humane Technology, a non-profit promoting the ethics of consumer tech.

RELATED: Watch this very real Netflix doc about a man who welded himself inside a “killdozer” and destroyed half of Granby

These days, Silicon Valley is referred to in much the way we talk about Hollywood or Washington: It is a global economic force, a wielder of spectacular power, somehow exemplary, too, of some more honorable ideals. Orlowski went to one of its feeder schools.

“I was class of ’06 at Stanford. When we all graduated, that was (around) the birth of the iPhone and the birth of apps. So many of my closest friends went directly to Facebook, Google or Twitter. Multiple friends sold their companies to Twitter for exorbitant amounts of money,” Orlowski said on the phone before his film’s world premiere at January’s Sundance Film Festival.

The project came out of conversations with those friends “who were starting to talk about the problems with the big social media companies back in 2017, at the birth of the tech backlash that we’ve been seeing. Honestly, I’d heard nothing about it, knew nothing about it.”

So many of his creative, thoughtful friends were working in new tech that Orlowski wondered, “How’s it a problem?” A fan of long-form journalism, he set out to answer that question and a few others. “For me, this process was two years of being an investigative journalist. (Of doing) first-hand research with the people who make the technology and trying to understand what the hell is going on.”

Director Jeff Orlowski attends the World Premiere of “The Social Dilemma,” an official selection of the Documentary Premieres program at the 2020 Sundance Film Festival. (Azikiwe Aboagye, provided by the Sundance Institute)

He is not alone in trying to wrap his brain — and ours — around that. Orlowski was among a cluster of storytellers at January’s Sundance Film Festival, posing timely questions about societal costs of seemingly free platforms — quandaries that have been reflected in a deluge of headlines about big tech’s role in our lives, in civil discourse, in democracy. (The film’s final cut includes a few recent images of news footage hinting at the rough tango between our lives and the Twittersphere around COVID-19.)

Two other high-profile projects that should prompt a rethink were Shalini Kantayya’s “Coded Bias,” about the MIT Media Lab, where research uncovered just how racially biased facial recognition software is. It’s a searing yet inspiring look at what happens when the people making tech’s design choices, and building its algorithms, create for people who look exactly like them. Co-directors and Karim Amer and Guvenc Ozel’s vivid virtual-reality living-room installation, “Persuasion Machines,” depicts with its jaw-dropping environment the data-mining excesses of a “smart home.”

There have always been concerns about the amount of private information that customers seem so willing to cede with little regard for security. But social media is proving itself a voracious beast. It’s less about identity theft than the potential for manipulation on a mass scale. Advances in AI and machine learning have added a special — arguably dystopian-courting — wrinkle.

It’s little surprise, then, that Orlowski is asking urgent questions. He’s forged a place in the documentary vanguard. He first made a splash when he trailed environmental photographer James Balog around Greenland, Iceland and Alaska. With stunning images, Balog documented the calving of ice shelves, the receding of glaciers, and Orlowski documented him.

The resultant work, “Chasing Ice” (2012), was gorgeous and chilling — in all the wrong ways. It was a different kind of climate change doc, not a screed but a nature film that made a compelling case that there are seismic — likely irreversible — changes afoot. It won an Emmy. (Traveling through Denver International Airport, you may have stopped to watch Balog’s mesmerizing time-lapse video for his Extreme Ice Survey work.)

Orlowski’s 2017 follow-up, “Chasing Coral,” won an Emmy for Best Nature Documentary.

“This is the beginning of a decade of films about technology and the consequences of technology,” Orlowski said of the company. “There’s so much at risk and so much at scale, the way technology is designed.”

In both “Chasing Ice” and “Chasing Coral,” he worked to make concepts starkly or strikingly visual. He faced a similar challenge with “The Social Dilemma. “We were trying to think of ways to show people what’s happening on the other side of their screens that’s invisible,” he said. “How do you show people something that is literally impossible to see? You can’t see what’s happening on the servers, right? You can’t even see the servers. But how are the algorithms designed and what are they doing that control 3 billion people?”

The number is not far off: According to German data-statistics tracking company Statista, there are currently 3.5 billion smartphone users.

For “The Social Dilemma,” Orlowski weaves a narrative tale about a multiracial family wrestling with the role of tech in their home. Think of it as a dramatization of concerns. The strategy evolved out of his own response to the news he was hearing from his Silicon Valley friends and their worries around the industry’s overreach.

“Because of the way they were describing it, every time I looked at my phone, I kept seeing a manipulative machine on the other side trying to puppeteer me. For the year I was on Facebook, I thought, ‘I’m being used.’ And it gave birth to this narrative storyline we figured out this way to interweave with the documentary.”

As a filmmaker, it was a chance to direct actors. Vincent Kartheiser of “Mad Men” plays the three-yammering embodiments of AI, dialing up the needs, nudging impulses and commanding the attention of Ben. Skyler Gisondo portrays the increasingly distracted high schooler. Helping create this intricate dance between the interviews and narrative was Oscar-winning editor Davis Coombe, a local filmmaking luminary. (He also co-wrote the doc with Orlowski and Vickie Curtis.)

“I really loved doing all that,” said Orlowski. “The writing, the shooting, the directing. All of the narrative stuff was really fun and brought, I hope, a different dimension.”

Ben and his family are intended to represent the ways many of us interact with the technology, not as designers but as Instagrammers and Tweeters, friends and over-sharers, TikTok-ing kids and their aggravated parents.

Of course, recanting can be a tricky thing. We admire people who see the flaws — even corruption — in a system and alert us to the dangers. But we can also be suspicious of their declarations. Indeed, there is an undercurrent of quiet hubris intermixed with the insider cautions of a number of Orlowski’s experts.

An intentionally witty moment comes early in the movie when, after a few of them have reflected on the unintended consequences of tech, and the sense that it was meant to help not harm. Although each had been a chatterbox of insights and perspectives, every one of them grows silent, looking for all the world stumped by the simple question that Orlowski asks: “So what’s the problem?” More than once, an interviewee reminds us that one of the tools to address the hyper-speed amassing of power and profit is rather old-school: regulation.

Even more illuminating than confessing their own addictions to email, or push notifications, or Twitter are the moments when these engineers, software designers, marketing whizzes share their own practices for themselves — or their family’s rules for their children — about social media.

“I’ve uninstalled a ton of apps from my phone that I felt were just wasting of my time … and I’ve turned off notifications,” said Rosenstein.

“Never accept a video recommended to you on YouTube. Always choose. That’s another way to fight,” said Jaron Lanier, one of tech’s most innovative minds turned most trenchant critics.

“We’re zealots about it. Crazy,” said Allen, asked about social media and his children. “We don’t let our kids have really any screen time.”

And perhaps the most timely advice: “Before you share, fact check,” said Renée DiResta, research manager at the Stanford Internet Observatory. “If it seems like something designed to push your emotional buttons, it probably is.”

Subscribe to our weekly newsletter, In The Know, to get entertainment news sent straight to your inbox.

A Boulder filmmaker’s new Netflix documentary will make you want to delete social media forever

#IFTTT #WordPress

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tak4hir0 · 5 years ago

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AI Is Eating Software deepkapha.ai By Martijn van Attekum, Jie Mei and Tarry Singh Introduction Marc Andreessen famously said that “Software is eating the world” and everyone gushed into the room. This was as much a writing on the wall for many traditional enterprises as it was wonderful news for the software industry. Still no one actually understood what he meant. To make his point he stated this example: "Today, the world’s largest bookseller, Amazon, is a software company — its core capability is its amazing software engine for selling virtually everything online, no retail stores necessary. On top of that, while Borders was thrashing in the throes of impending bankruptcy, Amazon rearranged its web site to promote its Kindle digital books over physical books for the first time. Now even the books themselves are software." Marc Andreessen This was 2011. Marc Andreessen TechCrunch Interestingly, Andreessen also said the following: "I, along with others, have been arguing the other side of the case...We believe that many of the prominent new Internet companies are building real, high-growth, high-margin, highly defensible businesses." Marc Andreessen (Read the full blog article at his a2z VC fund) Little did Andreessen envision that the same software industry could be at risk of being eaten. Fast forward to 2019 and the very same software industry is nervous. Very very nervous! And the reason is AI. Especially for those who haven’t bulked up their AI warchest. Acceleration Wave (2009 - 2019) - When Software Started Eating the World Andreessen was right. The companies that embraced software in 2011 are the current market leaders in their respective fields, and the top 5 market capitalization companies worldwide in the second quarter of 2019 are all offering some type of software solutions (ycharts.com). Concurrently, the period since 2011 has shown an unprecedented growth in the developments in AI. Although several key ideas about AI have been around for long, a number of processes have accelerated their potential use. First, computing power, in particular for specialized AI chipsets, has vastly increased. Second, the amount of training data for AI algorithms is exploding with the advent of data lakes and a fully connected internet-of-things world, expanding AI domains and decreasing the costs to train algorithms. Third, a large number of technological bottlenecks (such as vanishing gradients) have been solved over the last few years, massively increasing accuracy and applicability of existing algorithms. Lastly, the decrease in costs for cloud storage and computing plus the facilitation of distributed collaborative working, made combining highly specialized knowledge easier than ever before. The extent in which Andreessen’s cherished software companies are weaving AI into their products is however often limited. Instead, a new slew of start-ups now incorporates an infrastructure based around the above mentioned AI-facilitating processes from their very foundation. HyperAcceleration Wave (2019 - 2030) - AI Has Started Eating Software Driven by an increase in efficiency, these new companies use AI to automate and optimize the very core processes of their business. As an example, no less than 148 start-ups are aiming to automate the very costly process of drug development in the pharmaceutical industry according to a recent update on BenchSci. Likewise, AI start-ups in the transportation sector create value by optimizing shipments, thus vastly reducing the amount of empty or idle transports. Also, the process of software development itself is affected. AI-powered automatic code completion and generation tools such as TabNine, TypeSQL and BAYOU, are being created and made ready to use. Let’s quickly look at a few example applications of this hyperacceleration wave: Automating the coding process by having TabNine autocomplete your code with AI! DeepTabNine Tabnine It is trained on around 2 million files from code repository GitHub. During training, its goal is to predict each token given the tokens that come before it. To achieve this goal, it learns complex behaviors, such as type inference in dynamically typed languages. Once Deep TabNine developers realized the parallel between code and natural language processing, they implemented the existing GPT-2 tool which uses the Transformer network architecture. The inventor of this tool is Jacob Jackson, an undergraduate student and ex-OpenAI intern who quickly realized this idea and created a software tool for it. Getting answers to any question about your medical data As AI will create the query to get the answer for you! Here, a group of medical researchers created a tool that you can ask literally any questions on medical data and the AI generates a customized SQL query that is then used to retrieve the relevant data from the database. Speech Text to Generating Database Query automatically Question to SQL Generation It's called Question-to-SQL generation. They used RNN (a form of deep learning, an AI on steroids for text analytics) with Attention and Point-Generator Network. For those more inclined to exploring the technical part of this feel free to read their research here and software code here. So is it time the armies of database administrators (DBAs) to go home? Creating a beautiful website based on your sketch While AI translates your sketch into code! Want to build your website quickly? All you need to do is sketch it and this platform will use AI to create software code like html, css and js code ready in vue.js instantly. Sketch to create a website with AI Zecoda Easy, huh? Just input your sketch and voila! your website pops out at the other end! Find out more about this platform here. These are just a few examples of how AI is increasingly encroaching all parts of software development and eliminating mundane tasks of coding and programming rapidly! This is due to the motivation to automate the process of numerical analysis, data collection and eventually, processing and relevant code production. Researchers have higher-than-ever awareness and knowledge to infiltrate each and every problem at all levels with AI-powered software, from day-to-day anecdotes such as: Which kind of cookies shall we recommend to a customer given their shopping preferences? To large-scale, manufacturer’s dilemma, for example: How do we automate the production line in an individualized yet systematic manner? And finally, to the processing of building smarter, easier-to-use software that may even write code for you. Apart from assisted decision making, diagnostic and prediction, work of AI researchers and influencers have led to a hyperacceleration wave: Software powered by AI does not only achieve performances comparable to the human level, but creates something that would challenge an average person’s imagination and perception of their own abilities. A person can no longer tell apart the fake celebrity faces generated by generative neural networks from the real ones, or need not remember the name of every function they will use when writing a script. Imaginably, the wide application domains and near-human performance of AI-powered software will cause a paradigm shift in the way people deal with their daily personal and professional problems. Although some of us are pessimistic about, or in some extreme cases, consciously avoiding a world with overwhelming AI-powered software, there is not so much room for an escape. Amazon, Google, and even your favorite neighborhood florist, are actively (and sometimes secretly) using AI to generate revenue. Face it, or be left behind. What would you do if you were BMW today? "At this point, no one can reliably predict how quickly electromobility will progress, or which drive train will prevail... There is no customer requests for self driving BEVs. (electric vehicles)" CEO, BMW A classic trap most big enterprises with established business fall for is getting micro-focused on existing business segments while losing sight on the slowly eroding economic and business climate. Tesla's story as an electric car is known to all but many may not know that it is the self-driving feature and the heavy use of AI in both software and hardware where the secret sauce lies. They have already driven 10 billion electric miles and the cars are collecting all the more data to disrupt not just the automotive markets but its adjacent markets in manufacturing, servicing, sales and in general mobility. Tesla's AI is eating all other automotive industry's business. A few weeks later after his annual address, the BMW chief had resigned. CEO's and executives who however do wish to proactively adopt AI should do the following 5 things Concluding thoughts 1) Have your AIPlaybook Ready Last year I did a keynote panel together with a few industry peers and I was asked if AI could eat software and I said "Yes". Take a listen. Any company that is not in possession of its AI Playbook, that is not armed with data, algorithms and machine learning models, is certainly going to find itself in serious quandary. An example of an AI playbook is to assess your firm's maturity thoroughly and plan for ROI driven projects. AI Playbook deepkapha.ai 2) Upskill and/or hire a (good) data science team Upskilling your staff to be able to drive your AI transformation is the key to success for any organization aspiring to become an AI company. We've advised several large-scale data-intensive projects and here are a couple of key arguments that executives should take to heart. In a couple of years embracing AI is not a matter of trend riding, but survival; To survive an era in which AI is dominating both market and software, CEOs and executives need to level up their mindset for successful adoption and application of AI within their enterprise, for which they either have to upskill or find a good data science team; Know your game: A good team helps you understand how AI will make your company survive; Examples are abundant in the industry and it is key for companies to pay attention to latest trends and launch several smaller projects to extract out the key projects that can be industrialized at scale. 3) Develop Algorithms & Execute Your Data-Play From Day 1 Upgrading your technical infrastructure that can develop the latest AI algorithms, process large quantities of heterogenous datasets, build and train both industry benchmarked and novel AI models is an important first step. Once that is established it is very critical to develop meaningful dialog channels to envision and dream project ideas that are pain killers and dive directly into solving those problems with data. Finally, executing from Day 1 on the "good-enough" data models and algorithms is where a true AI company can define its momentum and gain sizeable lead from its nearest competition. 4) Implement a distributed knowledge structure As access to the right data is a key to valuable AI solutions, ensuring access to data generated or acquired within the company and outside will be of crucial importance. Following this realization, pharmaceutical companies are starting to create central repositories of the data gathered in their clinical trials. Consequently, their data science teams will have access to a structured knowledge database they can use to train AI algorithms. A second way to ensure the distribution of knowledge, is to set up a distributed collaboration structure. With the advent of software mimicking group processes from setting schedules, having meetings, or doing a brainstorming session, integration of knowledge and expertise should no longer be limited by geographical location. 5) Tap into AI start-ups with relevant knowledge Andreessen’s example of Disney buying Pixar in order to stay relevant has paid off for Disney, which sold for over 8 billion dollar in movie tickets this year, making Disney the second biggest media company (Forbes). Yet the latest developments suggest AI could also optimize movie-making processes. Moreover, as Disney is creating a consumer platform with Disney+, AI might form the necessary basis to ensure optimal usage of the data generated by this platform. When not wanting to build data science teams from scratch, collaborating with or taking over relevant start-ups might again be necessary for companies such as Disney to stay competitive. So yes, AI has started eating software. What are you going to do? ___________________________________________________________ About contributing authors Martijn v Attekum MD (Oncology) and PhD Dr. Martijn Van Attekum (MD, PhD) works as a data scientist in biomedicine at the University of Cologne. He is an experienced project manager and writer, and is skilled in genomics, oncology, and machine learning. As Visiting AI Researcher at deepkapha.ai he participates in ground-breaking deep learning projects on medical image analysis. In his free time, he is very much attracted to everything the mountains have to offer, such as climbing, hiking, and mountain biking. Jie Mei PhD Computational Neuroscience Dr. Jie Mei is a computational neuroscience researcher who has completed her studies at the Ecole normale supérieure and Charité Universitätsmedizin Berlin. She is currently based in Edmonton, Canada and is responsible for the growth of AI research department within deepkapha.ai and its companies. Her research interests include computational neuroscience, neurorobotics, machine learning and data analytics in healthcare and medicine. She is also an active startup advisor.

#Forbes

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aws-certification · 6 years ago

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Skills Enablement key focus at AWS Summit 2019 Sydney

The dust is starting to settle after AWS Summit 2019 Sydney. This year’s Summit was the largest AWS conference outside of AWS Re:Invent in Las Vegas, with an estimated 17,000 attendees.

It’s no surprise that AWS Summit is centred on Innovation. Day One is actually called Innovation Day, and is focused on new platform functionality and services, as well as showcasing key customer success stories.

This was led predominantly by Glenn Gore, Worldwide Lead Solutions Architect for AWS, who talked about how artificial intelligence (AI) and machine learning (ML) are driving customer-focused innovation.

A highlight from Day One was the on-stage discussion between Glenn Gore and Alan Joyce, CEO of Qantas. Alan Joyce explained how Qantas’s cloud-based flight simulator, Constellation, is saving the company $40 million a year in fuel. Developed in partnership with AWS and Sydney University, the system is one of a number of data-driven tools that will soon allow Qantas to offer non-stop flights to London and New York from Australia’s East Coast.

Day Two started with keynote presentations from:

Paul Migliorini, Managing Director ANZ, Amazon Web Services

Glenn Gore, Worldwide Lead Solutions Architect, AWS

Paul Bassat, Co-Founder, Square Peg Capital

Lisa Miller, Group Lead of Global Acquisition, Activation and Engagement, Canva

Here is an overview of four of the keynote presentations from Day Two of AWS Summit 2019 Sydney for reference.

1. Building a future ready business, Just Add Skills

The focus of Paul Migliorini’s presentation was on the need to “Just Add Skills”. Building a future ready business involved having a flexible, reliable, secure and scalable infrastructure platform, as well as having a skilled and experienced team to leverage the platform’s capabilities.

AWS provided the world’s leading IaaS (Infrastructure as a Service) platform. It was up to businesses to ensure their teams had the necessary training and experience to assess, implement and optimise the platform. Without appropriate training and skills enablement, they would struggle to migrate into a future ready business.

Paul outlined a number of different skills enablement initiatives that AWS supported.

Partnerships with institutions and Government

Skills Guilds like NAB, IAG and Australia Post

Diversity programs like Code like a Girl, and Women in AI

Community like hackathons, meetups, Kids in Tech, and Swinburne University Cloud Innovation Centre which was launched at AWS Summit 2019 Sydney

AWS-led skills enablement initiatives

AWS training and certification, with 150,000 people trained since 2012

AWS Educate, academic gateway for the next generation of cloud professionals, with over 10,000 students enrolled

AWS GameDay, learning in a challenging and fun simulated team competition

AWS Academy, in partnership with 30+ tertiary institutions across ANZ

AWS re:Start, training and job reskilling program

Paul then announced an extremely bold objective for training and certification, setting a goal of 500,000 new builders in 5 years (2019-2024).

That equates to a 333% increase from the 150,000 people trained from 2012 – 2018, highlighting the importance of skills enablement on the AWS Cloud platform.

2. Becoming a leader in the global technology ecosystem

Paul Bassett is a co-founder and major shareholder in Square Peg Capital, a venture capital fund focused on investing in early stage technology companies in Australia, Israel and South East Asia.

The key message from Paul’s presentation was that Australia is behind other countries in terms of being a leader in the global technology ecosystem.

Australia’s historical economic growth was from national retail brands and packaged goods. For example, banks such as Westpac and Commonwealth Bank, supermarkets like Woolworths and Coles, department stores like Myer, and packaged goods brands like Vegemite.

The brands that were succeeding in the new economy were digital platforms with the ability to expand globally. For example, brands such as AirBNB, Uber, Stripe, Fiverr, Wego, Atlassian and Canva.

Whilst Atlassian and Canva are Australia-centric businesses, they represent only a small proportion of digital-first businesses emerging from Australia. The future of Australia’s economy (and employment) meant increasing the number of digital-first businesses.

3. Create Tomorrow

With over 170 services, AWS has the breadth and depth of industry-leading services that enable millions of organisations worldwide to build and operate applications in ways never seen before.

Glenn Gore, World Wide Lead Solutions Architect for AWS shared global insights on how organisations of all sizes are using AWS to drive greater business efficiency and innovate faster. He posed the question, what does it take to create tomorrow?

Firstly, mindset. When faced with change we need to focus less on what we are going to lose, and more on what we are going to gain.

Secondly, platform. AWS provided brands and developers (“builders”) with the broadest and deepest platform.

Thirdly, skills enablement. In simple terms, people need to understand the technology in order to leverage the possibilities available.

4. Busting an old model

Lisa Miller, Group Lead of Global Acquisition and Activation from Canva explained how the born-in-the-cloud start-up has grown to support creative people across the globe.

Canva is an online design and publishing tool which makes graphic design simple for everyone. People no longer need to license expensive software or hire specialist designers. The digital platform has also challenged convention thinking, not just in the design space but in associated offerings such as stock images.

Canva was designed and built to scale, and scale it has. The design platform has grown to over 15 million users across 190 countries since launching in 2013. It has more than 1 billion designs created, at 33 designs per second.

It’s achieved tremendous growth, not just in terms of customers, and designs, but also in terms of staff. They have over 500 team members globally, although their head office is in Sydney’s eastern suburbs.

Talent acquisition and skills enablement was critical to Canva’s success. They had been able to secure local Australian talent with the necessary skills and experience.

Individual skills enablement

Innovation and skills enablement were the key messages from the keynote presentations on Day Two of AWS Summit 2019 Sydney.

Organisations need individuals with cloud skills to help transform their business. AWS Training and Certification helps you build and validate your cloud skills so you can get more out of the cloud. Whether you are just starting out, building on your existing IT skills, or sharpening your cloud knowledge, AWS Training and Certification can help you be more effective and do more in the cloud.

AWS- endorsed instructor-led classroom training offers the most in-depth training for those who want to deepen their technical skills. Classes include a combination of presentations, hands-on labs and group discussions led by authorised AWS instructors.

Organisation Training Plan

Bespoke Training can assist with designing a skills plan for AWS Cloud team enablement relevant to your organisation’s stage of adoption:

Identify the capabilities required to meet your objectives

Divide your core technical staff into role-based learning paths

Focus on training your existing staff, ensuring they transition to cloud-based roles while leveraging their knowledge of existing business infrastructure and systems

Ultimately we will collaborate with you to create a training plan tailored to your specific needs, so you can meet your business objectives as quickly and efficiently as possible.

from Bespoke Training http://bit.ly/2JUrAxs

#Bespoke Training

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readersforum · 6 years ago

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Our 9 favorite startups from Y Combinator W19 Demo Day 2

New Post has been published on http://www.readersforum.tk/our-9-favorite-startups-from-y-combinator-w19-demo-day-2/

Our 9 favorite startups from Y Combinator W19 Demo Day 2

Heathcare kiosks, a home-cooked food marketplace, and a way for startups to earn interest on their funding topped our list of high-potential companies from Y Combinator’s Winter 2019 Demo Day 2. 88 startups launched on stage at the lauded accelerator, though some of the best skipped the stage as they’d already raised tons of money.

Be sure to check out our write-ups of all 85 startups from day 1 plus our top picks, as well as the full set from day 2. But now, after asking investors and conferring with the TechCrunch team, here are our 9 favorites from day 2.

Shef

Two months ago, California passed the first law in the country legalizing the sale of home cooked food. Shef creates a marketplace where home chefs can find nearby customers. Shef’s meals cost around $6.50 compared to $20 per meal for traditional food delivery, and the startup takes a 22 percent cut of every transaction. It’s been growing 50 percent week over week thanks to deals with large property management companies that offer the marketplace as a perk to their residents. Shef wants to be the Airbnb of home cooked food.

Why we picked Shef: Deregulation creates gold rush opportunities and Shef was quick to seize this one, getting started just days after the law passed. Food delivery is a massive megatrend but high costs make it unaffordable or a luxury for many. If a parent is already cooking meals for their whole family, it takes minimal effort to produce a few extra portions to sell to the neighbors at accessible rates.

Handle

This startup automates the collection process of unpaid construction invoices. Construction companies are often forced to pay for their own jobs when customers are late on payments. According to Handle, there are $104 billion in unpaid construction invoices every year. Handle launched six weeks ago and is currently collecting $22,800 in monthly revenue. The founders previously launched an Andreessen Horowitz-backed company called Tenfold.

Why we picked Handle: Construction might seem like an unsexy vertical, but it’s massive and rife with inefficiencies this startup tackles. Handle helps contractors demand payments, instantly file liens that ensure they’re compensated for work or materials, or exchange unpaid invoices for cash. Even modest fees could add up quickly given how much money moves through the industry. And there are surely secondary business models to explore using all the data Handle collects on the construction market.

Blueberry Medical

This pediatric telemedicine company provides medical care instantly to families. Blueberry provides constant contact, the ability to talk to a pediatrician 24/7 and at-home testing kits for a total of $15 per month. They’ve just completed a paid consumer pilot and say they were able to resolve 84 percent of issues without in-person care. They’ve partnered with insurance providers to reduce ER visits.

Why we picked Blueberry: Questionable emergency room visits are a nightmare for parents, a huge source of unnecessary costs, and a drain on resources for needy patients. Parents already spend so much time and money trying to keep their kids safe that this is a no-brainer subscription. And the urgent and emotional pull of pediatrics is a smart wedge into telemedicine for all demographics.

rct studio

Led by a team of YC alums behind Raven, an AI startup acquired by Baidu in 2017, rct studio is a creative studio for immersive and interactive film. The platform provides a real time “text to render “engine (so the text “A man sits on a sofa” would generate 3D imagery of a man sitting on a sofa) that supports mainstream 3D engines like Unity and Unreal, as well as a creative tool for film professionals to craft immersive and open-ended entertainment experiences called Morpheus Engine.

Why we picked rct studio: Netflix’s Bandersnatch was just the start of mainstream interactive film. With strong technology, an innovative application, and proven talent, rct could become a critical tool for creating this kind of media. And even if the tech falls short of producing polished media, it could be used for storyboards and mockups.

Interprime

Provides “Apple level” treasury services to startups. Startups are raising a lot of money with no way to manage it, says Interprime. They want to help these businesses by managing these big investments by helping them earn interest on their funding while retaining liquidity. They take a .25 percent advisory fee for all the investment they oversee. So far, they have $10 million in investment capital they are servicing.

Why we picked Interprime: The explosion of early stage startup funding evidenced by Y Combinator itself has created new banking opportunities. Silicon Valley Bank is ripe for competition and Interprime’s focus on startups could unlock new financial services. With Interprime’s YC affiliation, it has access to tons of potential customers.

Nabis

Nabis is tackling the cannabis shipping and logistics business, working with suppliers to ship out goods to retailers reliably. It’s illegal for FedEx to ship weed so Nabis has swooped in and is helping ship and connect while taking cuts of the proceeds, a price the suppliers are willing to pay due to their 98 percent on-time shipping record.

Why we picked Nabis: Quirky regulation creates efficiency gaps in the marijuana business where incumbents can’t participate since they’re not allowed to handle the flower. As more states legalize and cannabis finds its way into more products, moving goods from farm to processor to retailer could spawn a big market for Nabis with a legal moat. It’s already working with many top marijuana brands, and could sell them additional services around business intelligence and distribution.

WeatherCheck

This startup measures weather damage for insurance companies. WeatherCheck has secured $4.7 million in annual bookings in the five months since it launched to help insurance carriers reduce their overall claims expense. To use the service, insurers upload data about their properties. WeatherCheck then monitors the weather and sends notifications to insurance companies, if, for example, a property has been damaged by hail.

Why we picked WeatherCheck: Extreme weather is only getting worse due to climate change. With 10.7 million US properties impacted by hail damage in 2017, WeatherCheck has found a smart initial market from which to expand. It’s easy to imagine the startup working on flood, earthquake, tornado, and wildfire claims too. Insurance is a fierce market, and old-school providers could get a leg up with WeatherCheck’s tech.

Upsolve

Upsolve wants to help low-income individuals file for bankruptcy more easily. The non-profit service gets referral fees from pointing non low-income families to bankruptcy lawyers and is able to offer the service for free. The company says that medical bills, layoffs and predatory loans can leave low-income families in dire situations and that in the last 6 months, their non-profit has alleviated customers from $24 million in debt.

Why we picked Upsolve: Financial hardship is rampant. With the potential for another recession and automation threatening jobs, many families could be at risk for bankruptcy. But the process is so stigmatized that some people avoid it at all costs. Upsolve could democratize access to this financial strategy while inserting itself into a lucrative transaction type.

Pulse Active Stations Network

This startup makes health kiosks for India, meant to be installed in train stations. Co-founder Joginder Tanikella says that there are 600,000 preventable deaths in India as many in the region don’t get regular doctor checkups. “But everyone takes trains,” he says. Their in-station kiosk measures 21 health parameters. The company made $28,000 in revenue last month. Charging $1 per test, Tanikella says each machine pays for itself within 3 months. In the future, the kiosks will allow them to sell insurance and refer users to doctors.

Why we picked Pulse: Telemedicine can’t do everything, but plenty of people around the world can’t make it in to a full-fledged doctor’s office. Pulse creates a mid-point where hardware sensors can measure body fat, blood pressure, pulse, and bone strength to improve accuracy for diagnosing diabetes, osteoarthritis, cardiac problems, and more. Pulse’s companion app could spark additional revenue streams, and there’s clearly a much bigger market for this than just India.

Honorable Mentions

-Allo, a marketplace where parents can exchange babysitting and errand-running

-Shiok, a lab-grown shrimp substitute

-WithFriends, a subscription platform for small retail businesses

—

More Y Combinator coverage from TechCrunch:

The top 10 startups from Y Combinator W19 Demo Day 1

To fund Y Combinator’s top startups, VCs scoop them before Demo Day

Here are the 85+ startups that launched at YC’s W19 Demo Day 1

All 88 companies from Y Combinator’s W19 Demo Day 2

Additional reporting by Kate Clark, Lucas Matney, and Greg Kumparak

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toomanysinks · 6 years ago

Text

Our 9 favorite startups from Y Combinator W19 Demo Day 2

Shef

Handle

Blueberry Medical

rct studio

Interprime

Nabis

WeatherCheck

Upsolve

Pulse Active Stations Network

—

More Y Combinator coverage from TechCrunch:

The top 10 startups from Y Combinator W19 Demo Day 1

To fund Y Combinator’s top startups, VCs scoop them before Demo Day

Here are the 85+ startups that launched at YC’s W19 Demo Day 1

All 88 companies from Y Combinator’s W19 Demo Day 2

Additional reporting by Kate Clark, Lucas Matney, and Greg Kumparak

source https://techcrunch.com/2019/03/22/top-yc-startups/

0 notes

sheminecrafts · 6 years ago

Text

Our 9 favorite startups from Y Combinator W19 Demo Day 2

Shef

Handle

Blueberry Medical

rct studio

Interprime

Nabis

WeatherCheck

Upsolve

Pulse Active Stations Network

Honorable Mentions

-Allo, a marketplace where parents can exchange babysitting and errand-running

-Shiok, a lab-grown shrimp substitute

-WithFriends, a subscription platform for small retail businesses

—

More Y Combinator coverage from TechCrunch:

The top 10 startups from Y Combinator W19 Demo Day 1

To fund Y Combinator’s top startups, VCs scoop them before Demo Day

Here are the 85+ startups that launched at YC’s W19 Demo Day 1

All 88 companies from Y Combinator’s W19 Demo Day 2

Additional reporting by Kate Clark, Lucas Matney, and Greg Kumparak

from iraidajzsmmwtv https://ift.tt/2WhkTbw via IFTTT

#IFTTT #iraidajzsmmwtv

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fmservers · 6 years ago

Text

Our 9 favorite startups from Y Combinator W19 Demo Day 2

Shef

Handle

Blueberry Medical

rct studio

Interprime

Nabis

WeatherCheck

Upsolve

Pulse Active Stations Network

—

More Y Combinator coverage from TechCrunch:

The top 10 startups from Y Combinator W19 Demo Day 1

To fund Y Combinator’s top startups, VCs scoop them before Demo Day

Here are the 85+ startups that launched at YC’s W19 Demo Day 1

All 88 companies from Y Combinator’s W19 Demo Day 2

Additional reporting by Kate Clark, Lucas Matney, and Greg Kumparak

Via Josh Constine https://techcrunch.com

#TechCrunch

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jamesgeiiger · 6 years ago

Text

Canada’s property market may be cooling, but ‘proptech’ is booming

This year, Devin Tu helped his real estate client avoid a multi-million dollar mistake.

“We had a client looking at a site in North York that they thought was ideal. But then, they used our tool, which scanned 25 different regulations and checked developments in the area in real time,” said Tu. “It turns out they had missed a key floodplain regulation.”

Had they bought the more-than-$10-million property, the client would have been stuck with land on which development would have been impossible. The area remains a parking lot today.

Tu is the founder and CEO of MapYourProperty, whose digital tool gives real estate developers a digital interface to access layers of important information about a property, including zoning bylaws and nearby proposals.

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His company is just one of a wave of proptech, or property technology, startups flooding the Canadian real estate sector, and developing a wide net of technologies, including artificial intelligence, machine learning and virtual reality applications.

“Real estate is one of the oldest and one of our biggest industries,” said Tu. “It has a huge gap where technology can completely disrupt it.”

The industry has ballooned in the past few years, largely funded by venture capital. Now it’s gaining recognition in the markets.

“Up until this year, there hadn’t been a ton of spotlight on proptech,” said Frank Magliocco, Canadian real estate leader at PricewaterhouseCoopers. But recently investments in proptech has spiked, “almost like a hockey stick,” he said.

In 2012, $221 million was funneled into the global proptech market, according to startup data provider CB Insights. That number shot up to $4.2 billion in global venture capital in 2016, with 2017 seeing a total investment of $12.6 billion, according to market research agency Re:Tech.

Earlier this year, Brookfield Asset Management, the Toronto-based real estate firm, committed $300 million under Brookfield Ventures to support real estate tech, while Jones Lang LaSalle launched an international venture fund to invest $100 million into the industry.

“If there’s that kind of money going into proptech, that means (it’s) going to have a pretty profound effect going forward,” said Magliocco.

Tu attributes the industry’s recent growth to necessity. Recently, the shortage of land supply and increased competition have forced real estate companies and their customers to make faster and better decisions.

From the perspective of data and transparency, the inefficiency in the commercial real estate market has been a difficult issue to tackle, according to Ben Liao, managing director at Techstars, a startup accelerator company based in Boulder, Colo. Earlier this year, the company chose Toronto to host its first international proptech accelerator program, featuring two Canadian proptech companies, including MapYourProperty.

“Creating client value through digital services in a space that is defined by a ‘real’ and physical experience in the ‘built world’ is difficult,” said Liao in an email. “Traditional industry leaders have been reticent to make significant investments in or adopt technology.”

The growth of the Canadian proptech market hit its stride after an important court ruling put valuable data in the hands of Toronto startups.

In August of 2017, the Supreme Court declined to hear an appeal from the Toronto Real Estate Board over the restriction of home-sale data. The case began in 2012 when the Competition Bureau alleged that by restricting virtual office websites from accessing certain data, TREB was stunting industry growth and innovation.

The seven-year-long trial, ended with a federal Competition Bureau order that meant brokers could package transaction and property records. This increased access to important historical data and trends put non-traditional real estate brokerage offices in a position to develop and grow.

“It was a major ruling for Canada, because it’s going to help us transform to what the U.S. did five or 10 years ago,” said Tu.

Currently, aside from the Maritimes, few other Canadian real estate boards have updated their data-sharing rules to match those of Canada’s largest real estate board. In September, TREB made its first alliance with the Oakville, Milton and District Real Estate Board, in order to give both boards a more comprehensive market view.

Now, some are calling Toronto the “Silicon Valley North” of proptech.

The city is home to a diverse set of global leaders who participate in the real estate market, with major property investors such as Colliers International, Brookfield and Oxford Properties all headquartered in Toronto.

“Toronto is North America’s fastest-growing tech market, creating more technology than the San Francisco Bay area, Seattle and Washington, D.C., combined last year,” said Liao.

And, according to Tu, the technology talent is here, and accessible. In Silicon Valley, hiring experts is expensive, while elsewhere “there just aren’t enough.”

However, not everyone believes that proptech’s big moment has arrived.

Christopher Alexander, Re/Max executive vice-president and regional director of Ontario-Atlantic Canada, says the industry’s embrace of blockchain, AI and machine learning are still a few years out.

“I think next year is a bit too early, but if I was to bet on any of those things, I would say blockchain,” said Alexander. He believes blockchain has the potential to create change in the industry because of the way it’s structured to “give consumers security with their money.”

According to Royal LePage president Phil Soper, proptech will change the way people buy homes, but that won’t eliminate the role of advisors.

“Our AI talks people through their search process, and when they’re comfortable, the AI directs them to an advisor so they can dive deeper into the transaction,” said Soper. “We think we can reduce cycle time, we think we can make the process more enriching. But we don’t see it replacing humans in the transaction.”

Magliocco says that while he sees pockets of proptech development happening in 2019, “the big stuff won’t be happening next year, but we’ll be seeing it soon.”

Nonetheless, with new policies, investment and talent to back him and other proptech entrepreneurs, Tu says he’s excited for what’s to come.

“Fintech was 2018,” said Tu. “I think proptech is going to be 2019.”

[email protected]

Canada’s property market may be cooling, but ‘proptech’ is booming published first on https://worldwideinvestforum.tumblr.com/

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mikemortgage · 7 years ago