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 ...

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

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

A Microsoft Research study suggests glass blocks etched with lasers could provide enduring data archives ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

How Can Organizations Leverage Non-Human Identities for Better Security? Have you ever wondered how Non-Human Identities (NHIs) are reshaping cybersecurity? With cyber threats evolve, organizations ...

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

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 ...

Zero knowledge proofs enhance transparency while maintaining confidentiality in decision-making processes. Lagrange is ...