The Stanford professor’s work gives autonomous systems new frameworks for tackling complex tasks. Robots and AI agents are ...

Companies working at the frontier of aerospace, energy and computing are constantly looking for new materials to improve performance. But in order to understand how those materials will actually ...

Nancy Butler Songer from the University of Utah discusses what we know about generative artificial intelligence and its ...

Embodied AI world models drew $6 billion in Q1 2026 alone, but new analysis from Fusion Fund investors argues the LLM scaling ...

Researchers from Renmin University of China and Microsoft Research have introduced Arbor, a framework designed to help AI ...

Machine unlearning is the research attempt to remove a specific record's influence from an already-trained model. Prospective ...

MCUs are opening the field for extreme edge development, unveiling a new age of possibilities and solutions — especially with ...

The company added more details about AI Runtime, a serverless graphics processing unit for enterprise deep learning that has ...

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...

Successful AI adoption depends less on models and technology than on workforce transformation, process redesign and ...