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

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 ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Satyam Kumar's remarkable academic journey began in rural Bihar, leading him to crack the IIT-JEE at 13 and later pursue advanced AI and brain-computer interface research in the US. His work at UT ...

New study identifies systematic patterns in armed conflicts across Africa – and the limits of forecasting conflict intensity, ...

Explore how effective governance in AI programmes hinges on engineering evidence, control, and accountability at scale for ...

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

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...

The technology prioritizes critical computation paths, enabling faster initial conclusions that can be continuously refined-critical in scenarios where an 80% accurate answer in 10 milliseconds ...

At ACR Convergence 2025, Cassandra Calabrese, DO, and I were invited to deliver a joint concurrent session with the ...