MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. We live in a world where machines can understand speech, ...

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Industry experts, competitors and even your customers are talking about machine learning and artificial intelligence. As they continue to grow in popularity, more companies than ever before are ...

New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?