O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

The companies that survive will look less like pyramids and more like swarms: small, autonomous AI-first pods that move and ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

This repository contains the official implementation of the paper: "Learning Procedural-aware Video Representations through State-Grounded Hierarchy Unfolding". Abstract: Learning procedural-aware ...

1 F.M. Kirby Neurobiology Center, Department of Neurology, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States 2 Neuroscience Institute, National Research Council (CNR), Pisa ...

Modern large language models (LLMs) might write beautiful sonnets and elegant code, but they lack even a rudimentary ability to learn from experience. Researchers at Massachusetts Institute of ...