The global AI race is now about talent, not markets. Closing a 4.2M skills gap by 2030 demands ecosystem-led, industry-academic talent development.
For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.
Overview Developing a new app no longer requires in-depth knowledge of programming and other complex technical concepts.This ...
The biggest data center companies in 2026 include server, storage, network, liquid cooling, colocation, AI, chips, hardware ...
ABI and scripting to the Wasm Component Model (WASI Preview 2). He shares how to build secure plugin systems that run at near ...
For most of the past decade, the conventional wisdom for non-software companies has been clear: Don't build what you can buy. That calculus is shifting faster than most business leaders realize.
The recently unveiled x86CSS project aims to emulate an x86 processor within a web browser. Unlike many other web-based ...
OpenAI introduces Harness Engineering, an AI-driven methodology where Codex agents generate, test, and deploy a million-line ...
Sho feels like a clean 'control center' for district signage—easy scheduling, Canva/PosterMyWall imports, Google Sheets ...
Tech workers are increasingly worried that the artificial intelligence they are building will replace them. But some are optimistic that it is just one more tool to work with.
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