You don't need the newest GPUs to save money on AI; simple tweaks like "smoke tests" and fixing data bottlenecks can slash ...

Overview: Cloud automation simplifies infrastructure management by reducing manual tasks and improving deployment ...

How LinkedIn replaced five feed retrieval systems with one LLM model — and what engineers building recommendation pipelines can learn from the redesign.

Explore Andrej Karpathy’s Autoresearch project, how it automates model experiments on a single GPU, why program.md matters, and what this means for the future of autonomous AI research.

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

FriendliAI — founded by the researcher behind continuous batching, the technique at the core of vLLM — is launching InferenceSense, a platform that fills idle neocloud GPU capacity with paid AI ...

The March session of the University of Iowa’s AI Lightning Talks, themed “AI in Research: Inside Faculty Workflows,” featured staff and faculty who have been implementing artificial intelligence into ...

Many Qwen LLMs are among the most popular models on Hugging Face (Fig. 1). Qwen is continuously developing the models: after the convincing Qwen3 release in April 2025, the provider introduced a new ...

So, you want to get better at those tricky LeetCode Python problems, huh? It’s a common goal, especially if you’re aiming for tech jobs. Many people try to just grind through tons of problems, but ...

Andrej Karpathy has argued that human researchers are now the bottleneck in AI, after his open-source autoresearch framework ...

Quantum computing is moving fast, and by 2026, knowing about quantum programming languages will be a big deal. It’s not just ...