The Large Hadron Collider is one of the biggest experiments in history, but it’s also one of the hardest to interpret. Unlike ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

The role of artificial intelligence (AI) and machine learning (ML) has become highly significant in cybersecurity matters. They show promising potential, but what can they actually offer us to ...

traditional machine-learning methods like reinforcement learning are typically applied to robots with well-defined moving parts, such as grippers with articulated fingers. However, shape-shifting ...

Applying machine learning to find the properties of atomic pieces of geometry shows how AI has the power to accelerate discoveries in maths. Applying machine learning to find the properties of ...

(Nanowerk News) Mathematicians from Imperial College London and the University of Nottingham have, for the first time, used machine learning to expand and accelerate work identifying ‘atomic shapes’ ...

New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics. Mathematicians from the ...

New research has used machine learning to find the properties of atomic pieces of geometry, in pioneering work that could drive the development of new results in mathematics. New research has used ...