This project is a step-by-step learning journey where we implement various types of Triton kernels—from the simplest examples to more advanced applications—while exploring GPU programming with Triton.

Got a long list of books you’d like to read, but life keeps getting in the way? It’s time to meet Headway Premium. This app ...

How chunked arrays turned a frozen machine into a finished climate model ...

Abstract: Federated Learning is a machine learning methodology that emphasizes data privacy, involving minimal interaction with each other’s systems, primarily exchanging model parameters. However, ...

Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news ...

Chainalysis launches Workflows, a no-code tool automating blockchain data analytics without requiring SQL or Python expertise.

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

I've worked with AI for decades and have a master's degree in education. Here are the top free AI courses online that I recommend - and why.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer ...

Official code repository for Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents by Victor Dibia. Learn to build effective multi-agent systems from first principles ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.