High-performance matrix multiplication remains a cornerstone of numerical computing, underpinning a wide array of applications from scientific simulations to machine learning. Researchers continually ...

Numberphile revived an ancient multiplication trick—halves and doubles—also called Egyptian or Russian math, where you ...

Companies using AI thoughtfully in procurement aren't replacing people; they're freeing those people to do higher-value work.

Explore the VBSA Bill's proposed reforms in India's higher education system, emphasizing the need for balanced and thoughtful ...

Learn about CDS Syllabus 2026 including detailed subject-wise topics for English, General Knowledge, and Elementary ...

Explore homomorphic encryption for privacy-preserving analytics in Model Context Protocol (MCP) deployments, addressing post-quantum security challenges. Learn how to secure your AI infrastructure ...

In] any piece of beautiful mathematics, you almost always find that there is a physical system which actually mirrors the ...

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

Artificial intelligence has grown so large and power hungry that even cutting edge data centers strain to keep up, yet a technique borrowed from quantum physics is starting to carve these systems down ...

To close out the semester, here is a conversation I had with fellow math PhD student Michael Catli. Michael and I both started our PhDs in Fall 2023. I knew him slightly before that, via a mutual ...