Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

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

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a ...

The idea of the Instructed Retriever architecture is that it turns these implied conditions into explicit search parameters.

Researchers mapped the brain connectivity of 960 individuals to uncover how fast and slow neural processes unite to support complex behavior.

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

There is a long-standing debate in the field of music cognition about the impact of musical training and whether formal ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

Physical AI describes intelligent systems that can sense, interpret, and act in real environments. Think of self-driving cars ...