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.

Learn faster with a five-step AI learning framework. Use Perplexity and Notebook LM for resources, priming, and save up to 20 ...

Google Cloud and Replit expand their partnership to bring AI-powered “vibe coding” to enterprises and speed up software creation.

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

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

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

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

The cost analysis shows that arm64 delivers 30% lower compute costs on average compared to x86. For memory-heavy workloads, cost savings reached up to 42%, particularly for Node.js and Rust. Light ...

Compliance as code is the process of embedding your policies and audits directly into your infrastructure and application ...

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

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