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 ...

Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.

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 ...

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

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

Army officers interested in transferring will be able to apply through the service’s Voluntary Transfer Incentive Program beginning Jan. 5.

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 ...