Overview: C and C++ remain the most important languages for fast, low-memory embedded devices. Newer languages like Rust and ...

Interactive Python modes are an easy way to learn new libraries. Scripting languages are easy to learn on their own because ...

Google’s agentic AI development environment includes multiple agent models and browser automation with Chrome.

Calling it the largest advancement since the NVIDIA CUDA platform was inroduced in 2006, NVIDIA has launched CUDA 13.1 with ...

Greater efficiency, innovation, and smarter ways of working are all very compelling outcomes. According to Sivasubramanian, ...

Spreadsheets are still useful, but if you do a lot of work with numbers, you'll realize that they have limitations.

Highlights Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring.Tools like Nornir, Netmiko, ...

Dynamic languages, most notably Python, are establishing themselves in the enterprise like never before. CIOs should weigh the benefits and drawbacks of Python carefully--and consider that their ...

NVIDIA CUDA Tile introduces 'tile-based parallel programming' and it's being described as a major update to the CUDA platform, which powers a lot of AI.

Programming model moves from managing thousands of low-level threads to working with high-level ‘tiles of data’ ...

OpenAI launches GPT 5.2 as competition heats up with Google’s Gemini 3, which currently leads key AI benchmarks. The update ...

We need to treat the software undergirding scientific research as a public good—and make investments accordingly.