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

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

AI is ubiquitous now—from interpreting medical results to driving cars, not to mention answering every question under the sun ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

The development hasn’t been straightforward. Early versions of the algorithm struggled with shadows and confused driftwood ...

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

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

AI, machine learning, and algorithm-driven analytics are changing the face of foreign exchange (FX) trading and investment.

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...