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

Neuroscience shows traditional teaching is not enough. Instead, an experiential approach can return learning to its natural ...

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

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

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 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 ...

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 ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...