Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

Researchers have examined the challenge of detecting and classifying dynamic road obstacles for autonomous driving systems ...

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Running a single physics simulation can take hours or days, depending on the complexity of the geometry and the equations ...

While artificial intelligence (AI) systems require information technology (IT) and data science skills to deploy, they also ...

Imagine learning to operate a piece of machinery you've never previously touched, not through a tutorial, but through your own hands electrically guided through the right motions. That's the core idea ...

As artificial intelligence slowly creeps into all facets of daily life, a growing community of coaches vows to help designers ...

Alright, so 2026 is shaping up to be a big year for AI, and the conferences reflect that. It’s not just one big blob of AI ...

An introduction to distributed reinforcement learning for large language models covering core concepts, training setup, and ...

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...

A recent publication from IMDEA Materials Institute and the Technical University of Madrid (UPM) presents a major step ...