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

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

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.

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

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

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

“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 ...

Chipmaker Nvidia ($NVDA) has released CUDA 13.1 and CUDA Tile, which it describes as the most important update to its CUDA ...

Aspire 13 adds official, first-class Python support so distributed apps can orchestrate Python services natively alongside ...

Every year, Spotify releases “Wrapped,” an interactive infographic showing stats like your favourite artists and tracks ...

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

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