The researchers discovered that this separation proves remarkably clean. In a preprint paper released in late October, they ...

Researchers showed that large language models use a small, specialized subset of parameters to perform Theory-of-Mind reasoning, despite activating their full network for every task.

Artificial intelligence (AI) systems, particularly artificial neural networks, have proved to be highly promising tools for ...

In the same vein, Yann LeCun, Meta's Chief AI Scientist, stated, "Intelligence — whether biological or artificial — is the ...

The future of computing has arrived in a flash, literally. In A Nutshell Researchers created a computer that performs complex ...

A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

Imagine you're watching a movie, in which a character puts a chocolate bar in a box, closes the box and leaves the room. Another person, also in the room, moves the bar from a box to a desk drawer.

The Navier–Stokes partial differential equation was developed in the early 19th century by Claude-Louis Navier and George ...

Viscous fingering occurs when a thinner fluid pushes a thicker, more viscous fluid in a porous medium, like underground rock, ...

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...

Humans have the cognitive capacity to infer and reason about the minds and thoughts of other people. Our brains are very good at it—much better than the Large Language Models or LLMs.  Although LLMs ...

In the ever-evolving world of artificial intelligence, deep neural networks (DNNs) have revolutionized data processing, offering unparalleled accuracy across various ...