The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

A machine learning framework that uses scarce and sparse experimental data to both predict and inversely design the mechanical behavior of spinodal metamaterials. Why It Matters The method enables ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Miraomics, Pythia Biosciences and LatchBio released a 30 million cell atlas spanning over 150 indications, 200 tissue types ...

The new federated AI blueprint from T-RIZE and Flower enhances data privacy, compliance, and auditability for enterprise ...

A team of researchers at the University of Nottingham have developed new AI tools to encourage chemists and chemical ...

New ML-based method predicts lithium salt performance, accelerating the development of safer, high-efficiency lithium metal ...

Researchers at Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome ...

NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant ...

One professional who has spent the last several years at this intersection is Pavan Mullapudi, an applied science leader who ...