New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

A data science course is meant to equip learners with a higher level of positions that are founded on the analysis of data, statistics, and machine learning aimed at addressing intricate problems. The ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

Only one of these patches of lunar plain can be Luna 9’s actual landing site – and there’s no guarantee that either of them ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Two rival teams — one using machine learning, the other human eyes — race to find the first spacecraft to soft-land on the moon.