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 ...

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

UK researchers have developed a platform that can test whether commercial AI algorithms developed for NHS applications are fit for purpose and free of bias. The platform has been put to work initially ...

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

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 ...

Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up all over nature, too, in places like your immune system and schools of fish ...

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

Nepal is just one of at least 150 countries to which Chinese companies are supplying surveillance technology, from cameras in ...