In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Researchers claim model can cut years from testing cycles Scientists have developed a machine learning method that could dramatically slash the cost and energy required to develop new lithium-ion ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

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

IMSA mentioned machine learning for diagnostics, wireless networking and RFID applications as a potential area for discussion ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...