There is more than one way to describe a water molecule, especially when communicating with a machine learning (ML) model, says chemist Robert DiStasio. You can feed the algorithm the molecule's ...

Kernel methods have emerged as a powerful tool in adaptive filtering and system identification, enabling the processing and modelling of complex, nonlinear relationships in dynamic systems. By mapping ...

Online multiplayer games have become huge online ecosystems with millions of players across the world. As this has grown, competitive integrity has emerged as o ...

Understanding how molecules interact with metal surfaces is fundamental to catalysis and surface chemistry. However, traditional computational methods face a trade-off: achieving high accuracy often ...

VAC Live continues to be iterated upon to try and curb CS2 cheating. The latest version is Vacnet 3.0, which is rumoured to ...

Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Cloud computing has really taken off, right? It’s pretty much everywhere now. But figuring out how all these systems work, ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one ...

Over the past decades, roboticists have introduced a wide range of systems that can effectively tackle some real-world ...

Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...