Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 ...

Praise Ifenna Okwuba discusses the future of AI-powered diagnostics in healthcare, emphasizing improved accuracy and patient ...

The inaugural season of the Gomezgil Yaspik Data Science Laboratory marks the beginning of a new chapter for for Bowdoin.

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

US visa uncertainty is driving Indian tech professionals back home, but many say jobs are shrinking as Big Tech rehires ...

A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Demand for AI consulting has exploded, and so has the noise. Every week, thousands of new "AI experts" appear on LinkedIn, ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Key market opportunities in AI for omics studies include the demand for precision medicine, adoption of AI in drug discovery, ...

Alongside this rapid progress, an equally ambitious effort has emerged to construct ethical frameworks for intelligent ...