Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

See how we created a form of invisible surveillance, who gets left out at the gate, and how we’re inadvertently teaching the machine to see, think like us.

BroadwayWorld chats with Connecticut native Amanda Robles, who plays The Lady of the Lake in the North American Tour of ...

Five new NHTSA crash reports bring Tesla’s Austin robotaxi tally to 14, raising transparency questions as Tesla begins limited unsupervised rides.

Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...

Beyond the JEE route, IITs are opening new pathways through online and executive courses in AI, robotics, biotechnology, and programming. Several programmes are available without JEE scores, with ...

Brooke Adams is setting the tone for 2026, and let’s just say fans are having a hard time focusing on goal-setting.

Learn how Zero-Knowledge Proofs (ZKP) provide verifiable tool execution for Model Context Protocol (MCP) in a post-quantum world. Secure your AI infrastructure today.

Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.

Nithin Kamath highlights how LLMs evolved from hallucinations to Linus Torvalds-approved code, democratizing tech and transforming software development.

Earlier, Kamath highlighted a massive shift in the tech landscape: Large Language Models (LLMs) have evolved from “hallucinating" random text in 2023 to gaining the approval of Linus Torvalds in 2026.