Machine learning continues to shape AI, automation, and data-driven decision-making. While online courses offer hands-on practice, books provide the deeper understanding needed to master core concepts ...

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 ...

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

A tandem neural network capable of inferring key physical parameters of semiconductor materials from simple transistor measurements has been developed, as reported by researchers from the Institute of ...

With more than 1,000 exhibitors billed for Automate 2026, it’s hard to know where to look first. Here’s an editor’s pick list ...

With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.

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

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

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

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