MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

With Qubitra, they intend to drive practical value by applying quantum approaches to some of the finance sector’s most ...

Generative AI in medtech raises questions on safety, validation, and regulatory challenges, explored in MD&M West's "GenMLP" ...

Discover how AI is revolutionizing veterinary radiology, and learn how algorithms support specialists for faster, more ...

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

Data experts with Treasury, the GAO and the Pandemic Response Accountability Committee say AI and data analytics can be used ...

When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing. Dust and rock collected from the asteroid Bennu ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...