Struggling to debug your physics simulations in Python? This video uncovers common mistakes that cause errors in physics code and shows how to identify and fix them efficiently. Perfect for students, ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code ...

For the last few years, the narrative around Generative AI in science has largely focused on administrative efficiency – ...

We as an industry need to stop looking for "AI SMEs" and start looking for "mission strategists with AI literacy." ...

As some of the world’s largest tech firms look to AI to write code, new research shows that relying too much on AI can impede ...

Explore a programming languages list with top coding languages explained, their uses, job prospects, and how to choose the ...

Anthropic has published new research on 29 January 2026 that asks a hard question of software teams adopting AI assistants: do quick productivity gains come at the cost of long‑term coding mastery?

Discover 7 common Django scaling issues and learn practical solutions to optimize performance, handle high traffic, and scale ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

Future tech skills and in-demand IT skills through 2030 include AI, cybersecurity, cloud, and blockchain, guiding career growth in evolving tech landscapes.

Researchers at UCSD and Columbia University published “ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design.” Abstract “While Large Language Models (LLMs) show ...