Using a high-throughput fluorescence microscopy system and machine learning algorithms, oxidative stress-related changes in ...

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Long overlooked and underestimated, glial cells – non-neuronal cells that support, protect and communicate with neurons – are ...

In a study published in the journal Information Systems Research, Texas Tech University's Shuo Yu and his collaborators ...

Researchers identified five biomarkers in umbilical cord blood that could indicate early-onset sepsis in preterm infants and ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with stunning accuracy.

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

Milwaukee School of Engineering will break ground on its new Robert D. Kern Engineering Innovation Center on Saturday.

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

The artificial intelligence (AI) and machine learning (ML) sector has solidified its position as the powerhouse of venture ...