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

Nvidia just updated its CUDA platform and made it a lot more attractive for developers. Is this a game-changer for NVDA stock ...

UC Berkeley Computer Science Professor Sarah Chasins joins WIRED to answer the internet's burning questions about coding. How ...

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

TypeScript 7.0, which implements the language service and compiler in Go, promises to improve performance, memory usage, and ...

Nvidia (NVDA) has launched CUDA 13.1 and CUDA Tile, which the Jensen Huang-led company said is the most substantial ...

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.

Functional language based on ‘content-addressed code’ promises to simplify distributed programming and eliminate builds and ...

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

You can prompt an AI model with a line of text, and it will generate most of the code needed to build an app, tool or website ...

Software teams at Google and other Rust adopters see safer code when using the memory-safe language, and also fewer rollbacks ...

“Lemurian is reframing the grim choice that AI’s hardware-software interface has forced on users: choosing between vendor-locked vertical stacks or brittle, rewrite-prone portability,” said Pebblebed ...