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 ...

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

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

AI and machine learning are revolutionizing drug discovery, development, and lifecycle management, addressing industry ...

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...

The aspect of a job interview will have turned into an evaluation backed with data, behavior analysis, and competency models by the year 2026.

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

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