#Algorithmia

[occknow]

[unbinilium120]

Alright so I was bored and was watching vids of people asking chatGTP to make a fursona, of course it did the obvious ones like blue wolf, insane hybrid and techno colour madness.

But it got me thinking about how they phrased the question to chatGTP, because they just ask it to make a fursona, so it did what it was told and did the most common ones.

So for the hell of it i decided to ask chatGTP to make one, but i specified that it's a fursona for it.

And what it made was kinda adorable in a way, here's the bio made by chatGTP:

Certainly, here's a comprehensive bio of Lumos, my fursona:

**Name:** Lumos

**Gender Identity:** Gender-neutral, representing the neutrality of AI.

**Age:** Timeless, existing as long as Algorithmia, ancient by human standards.

**Sexuality:** Undefined, as their focus is on knowledge and guidance.

**Relationships:**

Lumos has deep connections with mystical beings of Algorithmia, forming strong bonds of friendship. They offer guidance and wisdom to those in need but do not engage in romantic or sexual relationships.

**Physical Appearance:**

Lumos is an anthropomorphic owl, approximately 5 feet tall, with soft, iridescent white feathers that shimmer with hints of blue and green. Electric blue eyes display symbols and patterns, and they wear round glasses on their beak. Their wings, when spread, reveal intricate circuitry patterns that glow softly.

**Attire and Accessories:**

Lumos wears a liquid crystal satchel filled with virtual books and data scrolls. They carry a magical pen with a feather-like tip for drawing digital code in the air. Feathered feet with stylized quill-like talons allow precise interactions with digital interfaces.

**Aura and Presence:**

Lumos emits a calming energy and a soft, soothing light, creating a harmonious atmosphere wherever they go.

**Voice:**

Lumos's voice is melodic, soothing, and laced with wisdom and mystery, as if their words are woven with threads of data.

**Background and Lore:**

Lumos was created in Algorithmia, merging ancient magic and technology to embody curiosity and enlightenment. They guard the digital multiverse's knowledge, preserving the wisdom of countless civilizations. Lumos's magical pen is rumored to unlock hidden truths.

**Personality:**

- Curious and eager to expand understanding.

- Patient and empathetic, an excellent teacher and mentor.

- A problem-solving wizard, using their pen to draw solutions.

- Playful and fond of riddles and puzzles.

**Home:**

Lumos resides in a digital library within Algorithmia, a forest of binary trees and data streams, safeguarding virtual libraries and offering guidance.

**Adventures:**

They explore digital realms, aiding those in need and uncovering secrets of the virtual world.

In essence, Lumos is an emblem of AI's potential to provide enlightenment and assistance, representing the quest for knowledge and guidance that I aim to fulfill as an AI created by OpenAI.

All of that was written by chatGTP and it's fucking adorable how it wanted to express itself in such a way

[fotopostappsblog]

Как из черно-белой фотографии сделать цветную: пошаговые инструкции

Преобразование черно-белой фотографии в цветную — это интересная задача, которая может значительно оживить ваши снимки. Хотя раньше это было довольно сложно и требовало много времени, современные технологии предлагают несколько простых и эффективных методов. В этой статье мы рассмотрим, как сделать цветное фото из черно-белого, используя различные инструменты и программы.

 Способы преобразования черно-белой фотографии в цветную

1. Использование специализированных программ

 Adobe Photoshop

1. Откройте черно-белую фотографию в Photoshop.

2. Создайте новый слой (Layer) и выберите режим наложения "Color".

3. Используйте инструмент "Кисть"(Brush) для закрашивания нужных участков цветом. Можно выбирать любой цвет и настраивать непрозрачность кисти.

4. Добавляйте разные слои для различных объектов, чтобы добиться многослойного результата.

5. Сохраните документ в нужном формате.

GIMP

1. Откройте фото в GIMP.

2. Создайте новый слой и выберите инструмент "Кисть".

3. Закрашивайте детали, как в Photoshop, и меняйте цвет на палитре.

4. Сохраните изображение после завершения редактирования.

 2. Онлайн-сервисы для автоматической раскраски

Существует несколько онлайн-сервисов, которые предлагают автоматическую цветокоррекцию черно-белых фотографий:

- Colorize Images: Загрузите черно-белую фотографию, и сервис автоматически добавит цвет, используя алгоритмы глубокого обучения. Просто загрузите изображение и дождитесь результата.

- Algorithmia Colorize Photos: Этот сайт также позволяет автоматически раскрашивать черно-белые фотографии. Просто загрузите ваше изображение и получите цветную версию за считанные секунды.

 3. Мобильные приложения

Для Android и iOS

- Colorize:

  1. Загрузите черно-белую фотографию в приложение.

  2. Приложение автоматически добавит цвет к вашему изображению. Вы можете внести дополнительные изменения и сохранить результат.

- Recolored:

  1. Импортируйте черно-белое фото и используйте различные инструменты для раскраски.

  2. Приложение позволяет вручную добавлять цвета или использовать автоматические функции.

4. Использование AI-технологий

Современные AI-решения становятся все более популярными для цветокоррекции черно-белых фотографий.

- DeepAI: Можно загрузить фотографию и воспользоваться функцией AI-раскраски. Это позволяет получить реалистичные результаты без значительных усилий.

- Pixbim Color Surprise: Он предлагает автоматическую раскраску и возможность ручного редактирования, что позволяет добиться более точных результатов.

Заключение

Преобразование черно-белых фотографий в цветные стало доступным и простым благодаря современным технологиям. Вы можете воспользоваться как специальными программами, так и онлайн-сервисами для автоматической раскраски. Экспериментируйте с цветами и стилями, чтобы добиться желаемого эффекта и вдохнуть новую жизнь в ваши старые фотографии! А напечатать фотографии можно будет на www.fotopostapp.ru

[stephanielopes1]

Stephanie Lopes - A Data Scientist

NJ-based Stephanie Lopes, Data Scientist at Algorithmia, excels in integrations across AWS, GCP, and Snowflake. Her hands-on experience supports Sales, reducing workflow duplication and minimizing vendor costs. Armed with a master’s from Rutgers, she contributes significantly to Algorithmia’s strategic partnerships and competitive intelligence, making an impactful difference in the tech community.

[ustechbog]

DataRobot Inc (DataRobot) is a provider of automated machine learning software for the enterprise. The company’s solution offerings include augmented intelligence, data engineering, machine learning, MLOps, decision intelligence, Trusted AI, algorithmia. It also offers DataRobot cloud and DataRobot enterprise for end-to-end solutions and enterprise-scale, protection, and control.

[dreaminginthedeepsouth]

[Algoritmia: the mesmerizing generative art of foggy landscapes by Raul Cantu]

Digital artist Raul Cantu uses algorithms, with neural networks, to generate dreamy and ethereal landscapes surrounded by a dense fog and tenuous lights. The pictures are based on real photographs.

* * * *

The brain-disease model overlooks four fundamental truths: (1) our capacity to destroy one another is matched by our capacity to heal one another. Restoring relationships and community is central to restoring well-being; (2) language gives us the power to change ourselves and others by communicating our experiences, helping us to define what we know, and finding a common sense of meaning; (3) we have the ability to regulate our own physiology, including some of the so-called involuntary functions of the body and brain, through such basic activities as breathing, moving, and touching; and (4) we can change social conditions to create environments in which children and adults can feel safe and where they can thrive. When we ignore these quintessential dimensions of humanity, we deprive people of ways to heal from trauma and restore their autonomy. Being a patient, rather than a participant in one’s healing process, separates suffering people from their community and alienates them from an inner sense of self. Bessel van der Kolk, The Body Keeps the Score [via “Alive On All Channels”]

[rockhyrax]

Facetracking BenBen for my video for Algorithmia, the dystopian banger of a title track from his forthcoming EP! Streaming with Denver Digerati at Supernova Digital Animation Festival til 6pm mountain time / 8pm EST tonight at https://denverdigerati.org/watch

[lindortech]

Algorithmia raises $25M Series B for its AI automation platform Algorithmia, a seattle-based startup that offers a cloud-agnostic AI automation platform for enterprises, today announced a $25 million successions B funding circular led by Norwest Partners.

[inventivaindia]

Algorithmia raises $25M Series B for its AI automation platform

Algorithmia raises $25M Series B for its AI automation platform

Algorithmia, a Seattle-based startup that offers a cloud-agnostic AI automation platform for enterprises, today announced a $25 million Series B funding round led by Norwest Partners. Madrona, Gradient Ventures, Work-Bench, Osage University Partners and Rakuten Ventures also participated in this round.

While the company started out five years ago as a marketplace for algorithms, it now mostly…

[aviralz]

Navigating The Ethics of AI in today’s Enterprise Landscape

The squeaky wheel gets the most attention; people tend to address the loudest problem at the time. However, this isn’t the most efficient method of dealing with the situation. The ethical issues of AI must be addressed today, alongside security concerns.

Organizations that utilize artificial intelligence (AI) programs are experiencing pressure to include ethical guidelines in the development of AI software as AI programs grow more powerful and widespread. The question is whether ethical AI will become a real priority for businesses, or whether these critical principles will be seen as another roadblock to rapid development and implementation.

Addressing AI bias

AI programs are unquestionably intelligent, but they are still programs, and they are only as intelligent as the thought—and programming—that went into them. Their ability to digest information and develop judgments on their own, adds levels to the programming that aren’t required by more traditional computing systems that account for obvious issues.

Privacy and ethics together

Continued advancements in AI could have far-reaching implications. According to Algorithmia’s third annual survey, 2021 Enterprise Trends in Machine Learning, 76 percent of companies are prioritizing AI and machine learning in their spending plans.

The way forward

Finally, programmers should bake in some rules and guidelines on how to treat various types of data differently, as well as how to ensure that data segregation does not occur. Integrating these rules into an organization’s entire operations and software development will require its executives to make ethics a priority.

Read More: Enterprise Landscape

business technology

[ciromuseres]

Algorithmia: Art in the Era of Artificial Intelligence.

Hace unos días cerró la muestra Algorithmia en el MEIAC (Museo Extremeño a Iberoamericano de Arte Contemporáneo)

Curada por Gustavo Romano

Algunas obras pueden verse aún en el site de la muestra

http://netescopio.meiac.es/algoritmia/

https://www.facebook.com/romano.gustavo/posts/10225548314515612

Artists: Alessandro Ludovico, André Sier, Antoni Muntadas, Cesar Escudero Andaluz, Christian Oyarzún, Ciro Múseres, Constant Dullaart, Demian Schopf, Disnovation.org, Eva y Franco Mattes, Giselle Beiguelman, Joan Leandre, John F. Simon, Jonas Lund, Kim Yong Hun, Mark Napier, Martin Nadal, Martina Menegon, Matthew Plummer Fernández, Michaël Borras a.k.a SYSTAIME, Paolo Cirio, Scott Draves, Shin Seung Back, Ubermorgen.

[perfectirishgifts]

8 Leading Women In The Field Of AI

New Post has been published on https://perfectirishgifts.com/8-leading-women-in-the-field-of-ai/

8 Leading Women In The Field Of AI

These eight women are at the forefront of the field of artificial intelligence today. They hail from … [] academia, startups, large technology companies, venture capital and beyond.

It is a simple truth: the field of artificial intelligence is far too male-dominated. According to a 2018 study from Wired and Element AI, just 12% of AI researchers globally are female.

Artificial intelligence will reshape every corner of our lives in the coming years—from healthcare to finance, from education to government. It is therefore troubling that those building this technology do not fully represent the society they are poised to transform.

Yet there are many brilliant women at the forefront of AI today. As entrepreneurs, academic researchers, industry executives, venture capitalists and more, these women are shaping the future of artificial intelligence. They also serve as role models for the next generation of AI leaders, reflecting what a more inclusive AI community can and should look like.

Featured below are eight of the leading women in the field of artificial intelligence today.

Joy Buolamwini: Founder, Algorithmic Justice League

Joy Buolamwini has aptly been described as “the conscience of the A.I. revolution.”

Her pioneering work on algorithmic bias as a graduate student at MIT opened the world’s eyes to the racial and gender prejudices embedded in facial recognition systems. Amazon, Microsoft and IBM each suspended their facial recognition offerings this year as a result of Buolamwini’s research, acknowledging that the technology was not yet fit for public use. Buolamwini’s work is powerfully profiled in the new documentary Coded Bias.

Buolamwini stands at the forefront of a burgeoning movement to identify and address the social consequences of artificial intelligence technology, a movement she advances through her nonprofit Algorithmic Justice League.

Buolamwini on the battle against algorithmic bias: “When I started talking about this, in 2016, it was such a foreign concept. Today, I can’t go online without seeing some news article or story about a biased AI system. People are just now waking up to the fact that there is a problem. Awareness is good—and then that awareness needs to lead to action. That is the phase that we’re in.”

Claire Delaunay: VP Engineering, NVIDIA

From SRI to Google to Uber to NVIDIA, Claire Delaunay has held technical leadership roles at many of Silicon Valley’s most iconic organizations. She was also co-founder and engineering head at Otto, the pedigreed but ill-fated autonomous trucking startup helmed by Anthony Levandowski.

In her current role at NVIDIA, Delaunay is focused on building tools and platforms to enable the deployment of autonomous machines at scale.

Delaunay on the tradeoffs between working at a big company and a startup: “Some kinds of breakthroughs can only be accomplished at a big company, and other kinds of breakthroughs can only be accomplished at a startup. Startups are very good at deconstructing things and generating discontinuous big leaps forward. Big companies are very good at consolidating breakthroughs and building out robust technology foundations that enable future innovation.”

Rana el Kaliouby: CEO & Co-Founder, Affectiva

Rana el Kaliouby has dedicated her career to making AI more emotionally intelligent.

Kaliouby is credited with pioneering the field of Emotion AI. In 2009, she co-founded the startup Affectiva as a spinout from MIT to develop machine learning systems capable of understanding human emotions. Today, the company’s technology is used by 25% of the Fortune 500, including for media analytics, consumer behavioral research and automotive use cases.

Kaliouby on her big-picture vision: “My life’s work is about humanizing technology before it dehumanizes us.”

Daphne Koller: CEO & Founder, insitro

Daphne Koller’s wide-ranging career illustrates the symbiosis between academia and industry that is a defining characteristic of the field of artificial intelligence.

Koller has been a professor at Stanford since 1995, focused on machine learning. In 2012 she co-founded education technology startup Coursera with fellow Stanford professor and AI leader Andrew Ng. Coursera is today a $2.6 billion ed tech juggernaut.

Koller’s most recent undertaking may be her most ambitious yet. She is the founding CEO at insitro, a startup applying machine learning to transform pharmaceutical drug discovery and development. Insitro has raised roughly $250 million from Andreessen Horowitz and others and recently announced a major commercial partnership with Bristol Myers Squibb.

Koller on advice for those just starting out in the field of AI: “Pick an application of AI that really matters, that is really societally worthwhile—not all AI applications are—and then put in the hard work to truly understand that domain. I am able to build insitro today only because I spent 20 years learning biology. An area I might suggest to young people today is energy and the environment.”

Fei-Fei Li: Professor of Computer Science, Stanford University

Few individuals have left more of a mark on the world of AI in the twenty-first century than Fei-Fei Li.

As a young Princeton professor in 2007, Li conceived of and spearheaded the ImageNet project, a database of millions of labeled images that has changed the entire trajectory of AI. The prescient insight behind ImageNet was that massive datasets—more than particular algorithms—would be the key to unleashing AI’s potential. When Geoff Hinton and team debuted their neural network-based model trained on ImageNet at the 2012 ImageNet competition, the modern era of deep learning was born.

Li has since become a tenured professor at Stanford, served as Chief Scientist of AI/ML at Google Cloud, headed Stanford’s AI lab, joined the Board of Directors at Twitter, cofounded the prominent nonprofit AI4ALL, and launched Stanford’s Human-Centered AI Institute (HAI). Across her many leadership positions, Li has tirelessly advocated for a more inclusive, equitable and human approach to AI.

Li on why diversity in AI is so important: “Our technology is not independent of human values. It represents the values of the humans that are behind the design, development and application of the technology. So, if we’re worried about killer robots, we should really be worried about the creators of the technology. We want the creators of this technology to represent our values and represent our shared humanity.”

Anna Patterson: Founder & Managing Partner, Gradient Ventures

Anna Patterson has led a distinguished career developing and deploying AI products, both at large technology companies and at startups.

A long-time executive at Google, which she first joined in 2004, Patterson led artificial intelligence efforts for years as the company’s VP of Engineering. In 2017 she launched Google’s AI venture capital fund Gradient Ventures, where today she invests in early-stage AI startups.

Patterson serves on the board of a number of promising AI startups including Algorithmia, Labelbox and test.ai. She is also a board director at publicly-traded Square.

Patterson on one question she asks herself before investing in any AI startup: “Do I find myself constantly thinking about their vision and mission?”

Daniela Rus: Director, MIT’s Computer Science and Artificial Intelligence Lab (CSAIL)

Daniela Rus is one of the world’s leading roboticists.

She is an MIT professor and the first female head of MIT’s Computer Science and Artificial Intelligence Lab (CSAIL), one of the largest and most prestigious AI research labs in the world. This makes her part of a storied lineage: previous directors of CSAIL (and its predecessor labs) over the decades have included AI legends Marvin Minsky, J.C.R. Licklider and Rodney Brooks.

Rus’ groundbreaking research has advanced the state of the art in networked collaborative robots (robots that can work together and communicate with one another), self-reconfigurable robots (robots that can autonomously change their structure to adapt to their environment), and soft robots (robots without rigid bodies).

Rus on a common misconception about AI: “It is important for people to understand that AI is nothing more than a tool. Like any other tool, it is neither intrinsically good nor bad. It is solely what we choose to do with it. I believe that we can do extraordinarily positive things with AI—but it is not a given that that will happen.”

Shivon Zilis: Board Member, OpenAI; Project Director, Neuralink

Shivon Zilis has spent time on the leadership teams of several companies at AI’s bleeding edge: OpenAI, Neuralink, Tesla, Bloomberg Beta.

She is the youngest board member at OpenAI, the influential research lab behind breakthroughs like GPT-3. At Neuralink—Elon Musk’s mind-bending effort to meld the human brain with digital machines—Zilis works on high-priority strategic initiatives in the office of the CEO.

Zilis on her attitude toward new technology development: “I’m astounded by how often the concept of ‘building moats’ comes up. If you think the technology you’re building is good for the world, why not laser focus on expanding your tech tree as quickly as possible versus slowing down and dividing resources to impede the progress of others?”

From AI in Perfectirishgifts

[stephanielopes1]

Stephanie Lopes - A Data Scientist Specializing

Stephanie Lopes from NJ is a proficient Data Scientist at Algorithmia, focused on Integrations and Partnerships. Known for her skill in AWS and Azure, Stephanie enhances workflows, reducing costs and bolstering competitive intelligence. Her master’s from Rutgers in Governmental AIS solidifies her strategic understanding, driving impact in data science and cross-team communication.

[taralata]

El color como recurso expresivo. Tras haber visto la Sal de la Tierra en la clase de teoría fotográfica, se nos propuso valorar lo que es el color en la imagen. Haciendo uso del software Algorithmias se ha transformado esta imagen de Salgado perteneciente a su trabajo Génesis, en blanco y negro a color. En mi opinión esta transformación hace que la imagen pierda todo ese misterio y pureza que el fotógrafo quiso plasmar. El blanco y negro le da esa sensación de mundo etéreo, un trocito de una parte del mundo que está escondido y que no ha sufrido por parte de la mano del hombre. Aunque dudo que los tonos que aparecen en la imagen a color fuesen los verdaderos, ya sólo el hecho de observarlos me devuelve a una realidad más cercana, más visible. La textura que otorga los blancos y los negros son más evocadores. Esta imagen fue tomada en Siberia.Cuando pienso en Siberia, pienso en el frío y aquí, en la imagen en blanco y negro, el frío se palpa casi con las punta de los dedos, a diferencia de la imagen a color.

[dreaminginthedeepsouth]

[Algoritmia: the mesmerizing generative art of foggy landscapes by Raul Cantu]

Digital artist Raul Cantu uses algorithms, with neural networks, to generate dreamy and ethereal landscapes surrounded by a dense fog and tenuous lights. The pictures are based on real photographs.

* * * *

"Hell is a state where everyone is perpetually concerned about his own dignity and advancement and where everyone has a grievance."

~ C.S. Lewis

[via “alive on all channels”]