A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...

The company, which is called Hiverge, emerged from stealth today with $5 million in seed funding, led by Flying Fish Ventures ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

AutoBot platform combines machine learning and robotics to rapidly find the best ways to make advanced materials.

Catalysts play an indispensable role in modern manufacturing. More than 80% of all manufactured products, from ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk ...

ORNL patented a new validation method using entropy for advanced nuclear reactor testing, promising to shorten licensing ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis. Researchers ...

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...