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 ...

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

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

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 ...

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

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

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 ...