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 ...

Artificial intelligence has learned to ace exams, write code and draft legal memos, but it still struggles with something every good student masters early: keeping useful notes and revisiting them to ...

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

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

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 ...

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...

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 ...