Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

Researchers once struggled to understand unconventional solutions developed by artificial intelligence – a new approach at the University of Tübingen leads to faster and better understanding ...

Celebrating Ten Years of Innovation, Leadership, and Lasting Impact Bert’s decade of contributions has shaped Ring in ...

The unified JavaScript runtime standard is an idea whose time has come. Here’s an inside look at the movement for server-side JavaScript interoperability.

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

There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.

Wake up, Philippines. There is a structural shift already reshaping telecommunications work across the region and Australia’s Telstra is an eye-popping example. From 2024 to 2026 Telstra has cut more ...

Carey Business School experts Ritu Agarwal and Rick Smith share insights ahead of the latest installment of the Hopkins Forum, a conversation about AI and labor on Feb. 25 ...

AI isn’t killing tech jobs — it’s changing them, favoring pros who pair data and cloud savvy with curiosity, empathy and ...

Explore the innovative concept of vibe coding and how it transforms drug discovery through natural language programming.

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.

Which tech jobs are actually hiring in 2026? Not always the ones you'd expect. The real growth is in roles that build AI's infrastructure—not just its code.