An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

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 ...

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

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 ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...