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Category: robotics/AI – Page 1,651

Cerebras Systems debuts AI supercomputer with 13.5M+ processor cores

Chip startup Cerebras Systems Inc. today debuted Andromeda, a supercomputer optimized to run artificial intelligence applications that features more than 13.5 million processor cores.

Sunnyvale, California-based Cerebras Systems is backed by more than $720 million in venture funding. The startup sells a chip called the WSE-2 that is specifically designed to run AI software. The new Andromeda supercomputer that Cerebras Systems debuted today is based on the WSE-2 chip.

According to Cerebras Systems, Andromeda can provide performance in excess of one exaflop when running AI applications. One exaflop equals 1 million trillion calculations per second. The startup says that Andromeda’s performance makes it suitable for, among other use cases, training large language models, which are complex neural networks that can perform tasks such as translating text and generating software code.

Alex Zhavoronkov: Live Long and Prosper

The maniacally focused founder of Insilico Medicine is going all in on AI to discover new medicines and extend lifespan.

But researchers are now using artificial intelligence to accelerate parts of that process by orders of magnitude. The same kind of technology that recognizes your face or autocompletes your emails can potentially add years to your life, experts say.

We’re thrilled

We’re thrilled to announce a new ideation opportunity for innovative adult learning solutions. AI Tools for Adult Learning will award a total of $750,000 to winning concepts. Submit your abstract by Dec. 18.

We’re seeking your innovative ideas for tools or technologies to enhance learning and skills development among adults. We’re especially interested in surfacing ideas that leverage intelligent tutoring to allow adult learners to self-direct learning and develop critical skills.

Technologists, researchers, students, teachers, and creators of digital learning platforms or cutting-edge AI techniques are invited to participate. By doing so, you will gain access to a network of experts and receive feedback and technical support.

Esper Hand is a “human-like” prosthetic arm that can be controlled by the mind

Video on prosthetic Esper hand.

New York-based engineering startup Esper Bionics has developed a flexible prosthetic mind-controlled hand that learns how to suggest the best grip faster than similar prosthetics.
Esper Bionics’ robotic arm is designed to be lighter and learn faster than many of the prosthetics currently available for amputees. The more the wearer uses the hand, the better and quicker it is to suggest the right grip.

Called Esper Hand, the arm uses an electromyography-based brain-computer interface (BCI) – a computer-based technology system that gathers brain signals and information from nerve stimulation of the muscle.

Over 30 sensors on the wearer’s forearm and shoulder skin pick up on this muscle activity or “electrical cues” and relay the information to trigger an action in the hand.

Read more on Dezeen: https://www.dezeen.com/?p=1768536

Continue reading “Esper Hand is a “human-like” prosthetic arm that can be controlled by the mind” | >

AI, Sentience & the Binding Problem of Consciousness — is LaMDA sentient? — Andrés Gómez Emilsson

Is LaMDA at Google sentient? Is the current state of the art AI showing signs of having qualia? The phenomenal binding problem asks us to consider, ‘how can huge set of discrete neurons form a unified mind?’ Is topological binding a requirement for AI to be sentient?

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Meta AI Has Built A Neural Theorem Prover That Has Solved 10 International Math Olympiad (IMO) Problems — 5x More Than Any Previous Artificial Intelligence AI System

The scientific world has long acknowledged that proving mathematical theorems is an essential first step in developing artificial intelligence. To prove the truth or falsity of a conjecture, one must use symbolic thinking and sort through an unlimited number of alternatives. These tasks are beyond the capabilities of even the most sophisticated AI systems.

The state of the art in artificial intelligence today is to create machines that can “solve at once” or come up with a whole answer to a problem in a single go. However, this is not how most individuals approach difficult situations. Mathematical reasoning is significantly more challenging to formalize and measure.

Meta AI has made an important development at the intersection of artificial intelligence and mathematics. The neural theorem prover developed by the team has completed five times as many IMO problems as any other AI system before it, totaling ten. Concerning miniF2F, a popular mathematics test, the AI model outperforms the state of art by 20% and outperforms Metamath by 10%.

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