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

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 ...

The Ohio Department of Education and Workforce announced the release of a model policy on artificial intelligence (AI) in ...

The use of artificial intelligence avatars has emerged as one of the latest trends in the way AI is changing education. The ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

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

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

What if the most powerful artificial intelligence models could teach their smaller, more efficient counterparts everything they know—without sacrificing performance? This isn’t science fiction; it’s ...

The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

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