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Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory. The development of a new theory is typically associated with the greats of physics. You might think of Isaac Newton or Albert Einstein, for example. Many Nobel Prizes have already been awarded for new theories. Researchers at Forschungszentrum Jülich have now programmed an artificial intelligence that has also mastered this feat. Their AI is able to recognize patterns in complex data sets and to formulate them in a physical theory.

In the following interview, Prof. Moritz Helias from Forschungszentrum Jülich’s Institute for Advanced Simulation (IAS-6) explains what the “Physics of AI” is all about and to what extent it differs from conventional approaches.

Hugging Face presents Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset.

Using vision-language models (VLMs) in web development presents a promising strategy to increase efficiency and unblock no-code solutions: by providing…

Join the discussion on this paper page.

Figure has demonstrated the first fruit of its collaboration with OpenAI to enhance the capabilities of humanoid robots. In a video released today, the Figure 1 bot is seen conversing in real-time.

The development progress at Figure is nothing short of extraordinary. Entrepreneur Brett Adcock only emerged from stealth last year, after gathering together a bunch of key players from Boston Dynamics, Tesla Google DeepMind and Archer Aviation to “create the world’s first commercially viable general purpose humanoid robot.”

Continue reading “Video: GPT-enhanced humanoid speaks and reasons as it works” »

LatestPaper “Exploring beyond Common Cell Death Pathways in Oral Cancer: A Systematic Review” is now available.

Special Issue in journal Biology: Cell Self-Destruction (Programmed Cell Death), Immunonutrition and Metabolism.

Depending on where we look, the universe is expanding at different rates. Now, scientists using the James Webb and Hubble space telescopes have confirmed that the observation is not down to a measurement error.

Quiet-STaR

Language models can teach themselves to think before speaking.

When writing and talking, people sometimes pause to think.

Continue reading “Paper page — Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking” »

Third time’s the charm (of sorts) for SpaceX’s Starship, which soared over the Gulf of Mexico Thursday morning during its third flight test.

The Schwartz Reisman Institute for Technology and Society and the Department of Computer Science at the University of Toronto, in collaboration with the Vector Institute for Artificial Intelligence and the Cosmic Future Initiative at the Faculty of Arts \& Science, present Geoffrey Hinton on October 27, 2023, at the University of Toronto.

0:00:00 — 0:07:20 Opening remarks and introduction.
0:07:21 — 0:08:43 Overview.
0:08:44 — 0:20:08 Two different ways to do computation.
0:20:09 — 0:30:11 Do large language models really understand what they are saying?
0:30:12 — 0:49:50 The first neural net language model and how it works.
0:49:51 — 0:57:24 Will we be able to control super-intelligence once it surpasses our intelligence?
0:57:25 — 1:03:18 Does digital intelligence have subjective experience?
1:03:19 — 1:55:36 Q\&A
1:55:37 — 1:58:37 Closing remarks.

Continue reading “Will digital intelligence replace biological intelligence?” »

In hindsight, it seems prophetic that the title of a Nature paper published on 1 March 1974 ended with a question mark: “Black hole explosions?” Stephen Hawking’s landmark idea about what is now known as Hawking radiation¹ has just turned 50. The more physicists have tried to test his theory over the past half-century, the more questions have been raised — with profound consequences for how we view the workings of reality.

In essence, what Hawking, who died six years ago today, found is that black holes should not be truly black, because they constantly radiate a tiny amount of heat. That conclusion came from basic principles of quantum physics, which imply that even empty space is a far-from-uneventful place. Instead, space is filled with roiling quantum fields in which pairs of ‘virtual’ particles incessantly pop out of nowhere and, under normal conditions, annihilate each other almost instantaneously.

However, at an event horizon, the spherical surface that defines the boundary of a black hole, something different happens. An event horizon represents a gravitational point of no return that can be crossed only inward, and Hawking realized that there two virtual particles can become separated. One of them falls into the black hole, while the other radiates away, carrying some of the energy with it. As a result, the black hole loses a tiny bit of mass and shrinks — and shines.