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

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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

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

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

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 ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

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