The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Learn how AI and machine learning enhance antibody discovery – from structure prediction to binding optimization – with ...

Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Learn how to build your own GPT-style AI model with this step-by-step guide. Demystify large language models and unlock their ...

One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given ...

The Dutch company says its short-term trading solutions for solar and other renewable energy technologies, supports grid balancing, reduces the costs of imbalance, and optimizes energy flows in an ...

AI's role in predictive analytics for energy savings helps Smart Cities manage resources more efficiently, say experts ...

Putting a human in the loop often refers to an artificial intelligence (AI), such as a target acquirer, that requires human authorization to proceed (as in, pull the trigger). However, in learning ...

Helix Parallelism’ can process millions of words and support 32x more concurrent users. It’s a breakthrough, but is it useful ...

Ensemble models, comprising multiple algorithms or simulations to improve prediction accuracy, are increasingly being applied ...

Voith and the German Aerospace Center (DLR) have announced promising initial results from their joint project aimed at improving ...