Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

The VA’s emerging tech initiatives have ranged from introducing an AI chatbot designed to help agency employees with ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

The review identifies nine major functional domains where AI is significantly altering sustainable practices, including ...

A research team led by Professor Cho Chul-hyun of the Department of Psychiatry at Korea University Anam Hospital (1 author Jeong Jin-kyung, medical student at Korea University, medical student Jeon ...

The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience ...

Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated with machine learning to explore practical ...

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

Malta-headquartered CRM solutions provider Fast Track has unveiled its new machine learning platform, FTML. The new platform ...

A team of researchers used a machine learning model to predict unknown chemical pathways, and bring us one step closer to efficiently storing ...