Google's Genie generates infinite interactive worlds from text. The secret? AI models compress reality's rules into transferable principles, enabling boundless creation.

How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...

Abstract: Domain Generalization (DG) is a growing field in machine learning that aims to train the model across multiple source domains, thereby enabling effective generalization to new, unseen target ...

Large language models (LLMs) have impressive, yet sometimes confusing capability. These tools have the power to help graduate students draft emails, or guide a clinician in diagnosing cancer. Their ...

Grokking is a newly developed phenomenon where a model starts to generalize well long after it has overfitted to the training data. It was first seen in a two-layer Transformer trained on a simple ...

Abstract: Transfer learning (TL) is an increasingly popular approach to training deep learning (DL) models that leverages the knowledge gained by training a foundation model on diverse, large-scale ...

In typical visuomotor rotation tasks, adaptation is induced by a mismatch between visual and proprioceptive sensory input. Target-jump paradigms, i.e. tasks with sudden displacement of the movement ...