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 ...

Large language models already read, write, and answer questions with striking skill. They do this by training on vast libraries of text. Once that training ends, though, the model’s knowledge largely ...

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

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 ...

Overview: Artificial Intelligence is revolutionizing modern education by making learning smarter, more personalized, and ...

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

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.

The real AI race is starting now, and the organizations that lead in 2026 won't be those with the most AI pilots or the ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

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