The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

A picture is worth a thousand words or, perhaps, a hundred thousand dollars in extra salary. Academics claim that personality ...

Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...

Economists have noticed that betting markets like Kalshi and Polymarket are pretty good at predicting not just political ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

Non-terrestrial networks have their own challenges that cellular networks didn't have. Will AI help solve them dynamically?

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

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

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

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

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 ...

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