The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare ...

The PG Level Advanced Certification Programme in Applied Data Science & Machine Learning is a collaboration between IITM ...

If you were on the University of Wyoming campus the week of July 13-16, you may have noticed a group of people intently ...

In his new book, Vineet Nayar argues that algorithms inherit our moral compass—and leaders must actively steer AI guardrails ...

Analytical chemists have been using machine learning long before ChatGPT made headlines. Now, as generative AI enters the laboratory, the discipline faces both opportunities and risks ...

Anthropic's Boris Cherny, creator of Claude Code, shares the best strategies for getting the high quality outcomes.

As AI, data science and intelligent systems transform industries, computer science education is shifting from traditional theory to practical, industry-focused learning. India is expanding AI-focused ...

Development environments have evolved into toolkits for directing coding models and coordinating agents. GitHub Copilot, ...

In a major relief for digital health innovators and medical technology developers, the Central Drugs Standard Control Organisation (CDSCO) has introduced a streamlined framework for managing algorithm ...

The decision highlights the importance of documenting technical innovations during product development and how having technical and legal ...

“The relationship between child development and artificial intelligence is one of the most critical and overlooked challenges of our time,” writes Dana Suskind.

It’s no wonder students are walking away from computer science: We told them the wrong story. Here’s the right one.