Overview  Python remains the most popular and versatile language for AI development.Julia and Rust are gaining ground for ...

Benchmarks drive many areas of research forward, and this is indeed the case for two areas of research that I engage with: software engineering and machine learning. With increasing emphasis on AI ...

Local LLMs are becoming crucial tools for developers to unlock on-demand assistance for code generation, debugging, and documentation, all without sending proprietary code to external servers. This ...

Challenges can arise when snippets or lines of code within proprietary products contain open source code, which developers ...

Well, fast-forward a dozen centuries, and along come Copernicus asking “What if Earth isn’t at the centre after all?”; Kepler ...

Codeium’s recent funding isn’t just about improving the core product; it’s also a springboard for building a wider network ...

Free-threaded Python is now officially supported, though using it remains optional. Here are four tips for developers getting ...

What Higher Ed Is Like for Students Who Don’t Want to Use A.I. Sign up for the Slatest to get the most insightful analysis, criticism, and advice out there, delivered to your inbox daily. latest ...

AI tools are revolutionizing coding and IT work, but are they making developers faster? One study says no. Here's why AI sometimes slows experts down and speeds up mistakes.

Chinese AI startup Moonshot releases open-source Kimi K2 model that outperforms OpenAI and Anthropic on coding tasks with breakthrough agentic capabilities and competitive pricing.

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

Andhra Pradesh leads in reshaping engineering education with a focus on AI, Quantum Computing, and interdisciplinary skills.