Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

The integration of data science into electrocatalysis has significantly advanced the discovery of high-performance catalysts ...

A new article puts artificial intelligence and machine learning on the task of finding new, powerful electrolytes for designing next-generation batteries for electric vehicles, phones, laptops and ...

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

The Kushal Dey Lab builds statistical and machine learning models that integrate genetic and genomic data to prioritize variants, genes, and cell types, and to decode the causal functional ...

In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes in the geometry of the physical settings of PDEs. Called DIMON, the new ...

Rice researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially ...

Data science platform Kaggle is hosting a Wikipedia dataset that’s specifically optimized for machine learning applications. Data science platform Kaggle is hosting a Wikipedia dataset that ...

At the University of Delaware, Pinki Mondal, associate professor and environmental science director ... patches and collect data points. Combining this information with current and historical ...

The research was published April 30 in the journal Science ... analysis and machine learning. “A central focus of my research ...

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising ... even with limited data, machine learning can accelerate the development of ...