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 ...

Satyam Kumar’s rise from rural Bihar to elite research labs in the United States has emerged as one of the most remarkable academic journeys. Known fo.

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

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

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

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.

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

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 ...

The future of customer targeting isn't about knowing more—it's about acting faster and smarter on what you already know.

CIOs must transform IT, transition AI to customer experience opportunities, and double down on data governance and security — ...