The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

DRDO aims to enhance India's defence capabilities through AI, focusing on unified operations, data standardization, and ...

Self-generated skills don't do much for AI agents, study finds, but human-curated skills do Teach an AI agent how to fish for ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...

Over time, the loss of human expertise caused by AI use can impair the quality of that very AI—in the worst case, insidiously and unnoticed. This is the finding of a new study by researchers from the ...