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DeepMind’s latest AI project solves programming challenges like a newb

Google’s DeepMind AI division has tackled everything from StarCraft to protein folding. So it’s probably no surprise that its creators have eventually turned to what is undoubtedly a personal interest: computer programming. In Thursday’s edition of Science, the company describes a system it developed that produces code in response to programming typical of those used in human programming contests.

On an average challenge, the AI system could score near the top half of participants. But it had a bit of trouble scaling, being less likely to produce a successful program on problems where more code is typically required. Still, the fact that it works at all without having been given any structural information about algorithms or programming languages is a bit of a surprise.

GPT-3 + Sheets — LifeArchitect.ai LIVE

GPT-3 and Google Sheets


https://sheets.new/
https://beta.openai.com/account/api-keys.

Mentioned in this stream:
https://jalammar.github.io/how-gpt3-works-visualizations-animations/
https://c4-search.apps.allenai.org/?q=%22James+Gosling%22
https://beta.openai.com/codex-javascript-sandbox.

The GPT-3 Leta video series


https://galactica.org/explore/

Roadmap: AI’s next big steps in the world

The Memo: https://lifearchitect.ai/memo/

Inside language models (from GPT to Nova)

Dr Alan D. Thompson is a world expert in artificial intelligence (AI), specialising in the augmentation of human intelligence, and advancing the evolution of ‘integrated AI’. Alan’s applied AI research and visualisations are featured across major international media, including citations in the University of Oxford’s debate on AI Ethics in December 2021.

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How Starlink & T-Mobile’s partnership will impact 5G for the better for AI cameras

Starlink and T-Mobile’s partnership will be revolutionary for cellular service and Smarter AI CEO Chris Piche had some thoughts on how the new partnership will impact 5G capability for the automotive industry.

Chris, who has created services including AT&T TV, BBM Video, Poly Video, and STUN/TURN/ICE shared his thoughts on the effect of 5G on vehicles and telecommunications in an interview with Teslarati.

AI CAMERAS, TESLA, STARLINK & AUTONOMOUS VEHICLES Before founding Smarter AI, the Top 40 under 40 entrepreneur’s company created a technology that BlackBerry licensed to enable voice and video calling. This gave Chris a front-row seat to witness the speed at which technology can transform markets.

This U.S. company manufactures low-cost, high-quality robotic limbs for Ukraine-Russia war victims

Thousands of Ukrainian soldiers and civilians are suffering unimaginable injuries in the country’s war with Russia. Many of the more seriously wounded have lost one or more limbs. Now a company in New York is stepping up to help. For access to live and exclusive video from CNBC subscribe to CNBC PRO: https://cnb.cx/2NGeIvi.

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How AI found the words to kill cancer cells

Using new machine learning techniques, researchers at UC San Francisco (UCSF), in collaboration with a team at IBM Research, have developed a virtual molecular library of thousands of “command sentences” for cells, based on combinations of “words” that guided engineered immune cells to seek out and tirelessly kill cancer cells.

The work, published online Dec. 8, 2022, in Science, represents the first time such sophisticated computational approaches have been applied to a field that until now has progressed largely through ad hoc tinkering and engineering cells with existing—rather than synthesized—molecules.

The advance allows scientists to predict which elements—natural or synthesized—they should include in a cell to give it the precise behaviors required to respond effectively to complex diseases.

Pentagon picked four tech companies to form $9B cloud computing network

In a press conference that Ars attended today, Department of Defense officials discussed the benefits of partnering with Google, Oracle, Microsoft, and Amazon to build the Pentagon’s new cloud computing network. The multi-cloud strategy was described as a necessary move to keep military personnel current as technology has progressed and officials’ familiarity with cloud technology has matured.

Air Force Lieutenant General Robert Skinner said that this Joint Warfighting Cloud Capability (JWCC) contract—worth $9 billion—would help quickly expand cloud capabilities across all defense departments. He described new accelerator capabilities like preconfigured templates and infrastructure as code that will make it so that even “people who don’t understand cloud can leverage cloud” technologies. Such capabilities could help troops on the ground easily access data gathered by unmanned aircraft or space communications satellites.

“JWCC is a multiple-award contract vehicle that will provide the DOD the opportunity to acquire commercial cloud capabilities and services directly from the commercial Cloud Service Providers (CSPs) at the speed of mission, at all classification levels, from headquarters to the tactical edge,” DOD’s press release said.

Future of Humanity: AI & Robotics | Free Documentary

Humanity Augmented: https://youtu.be/Hc2FMNMPiNQ

Mankind has always looked for ways to reduce manual labor and repetitive tasks. To that end, and in the absence of technology, civilization exploited various me-thods, often by taking advantage of their fellow humans. Robots, as a potential solution, have long fascinated mankind, capturing our imagination for centuries. Even in Greek mythology, the god Hephaestus had « mechanical » servants. But not until recently, has artificial intelligence finally progressed to a level that will become more and more life-changing for the future of humanity.
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Free Documentary is dedicated to bringing high-class documentaries to you on YouTube for free. With the latest camera equipment used by well-known filmmakers working for famous production studios. You will see fascinating shots from the deep seas and up in the air, capturing great stories and pictures from everything our beautiful and interesting planet has to offer.

Enjoy stories about nature, wildlife, culture, people, history and more to come.

Researchers at Stanford developed an Artificial Intelligence (AI) Model called ‘RoentGen,’ based on Stable Diffusion and fine-tuned on a Large Chest X-ray and Radiology Dataset

Latent diffusion models (LDMs), a subclass of denoising diffusion models, have recently acquired prominence because they make generating images with high fidelity, diversity, and resolution possible. These models enable fine-grained control of the image production process at inference time (e.g., by utilizing text prompts) when combined with a conditioning mechanism. Large, multi-modal datasets like LAION5B, which contain billions of real image-text pairs, are frequently used to train such models. Given the proper pre-training, LDMs can be used for many downstream activities and are sometimes referred to as foundation models (FM).

LDMs can be deployed to end users more easily because their denoising process operates in a relatively low-dimensional latent space and requires only modest hardware resources. As a result of these models’ exceptional generating capabilities, high-fidelity synthetic datasets can be produced and added to conventional supervised machine learning pipelines in situations where training data is scarce. This offers a potential solution to the shortage of carefully curated, highly annotated medical imaging datasets. Such datasets require disciplined preparation and considerable work from skilled medical professionals who can decipher minor but semantically significant visual elements.

Despite the shortage of sizable, carefully maintained, publicly accessible medical imaging datasets, a text-based radiology report often thoroughly explains the pertinent medical data contained in the imaging tests. This “byproduct” of medical decision-making can be used to extract labels that can be used for downstream activities automatically. However, it still demands a more limited problem formulation than might otherwise be possible to describe in natural human language. By prompting pertinent medical terms or concepts of interest, pre-trained text conditional LDMs could be used to synthesize synthetic medical imaging data intuitively.

How the Brain Works: The Thousand Brains Theory of Intelligence | Numenta

Have you ever wondered what makes you intelligent? How are you able to see, hear, think, read, sing, solve problems, and perform any number of intelligent tasks?

Your brain learns a model of the world, and this model recreates the structure of everything you know. Everything you do and experience is based on this model. Intelligence is the ability to create this model of the world.

But how can a bunch of cells in your brain create a model of the world and everything in it? The Thousand Brains Theory provides an answer. Not only that, but it also provides a blueprint for how to build truly intelligent machines.

Visit https://numenta.com/ for more information.

Produced by Mind’s Eye Creative Studio: https://www.mec.co.za/
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Numenta is leading the new era of machine intelligence. Our deep experience in theoretical neuroscience research has led to tremendous discoveries on how the brain works. We have developed a framework called the Thousand Brains Theory of Intelligence that will be fundamental to advancing the state of artificial intelligence and machine learning. By applying this theory to existing deep learning systems, we are addressing today’s bottlenecks while enabling tomorrow’s applications.

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