AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...

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NVIDIA’s CUDA 13.3 targets the divisions between Python and C++ engineers inside enterprise software teams building AI applications. Python teams often build fast prototypes, while C++ engineers spend ...

Cybersecurity researchers have disclosed a critical security vulnerability in Ollama that, if successfully exploited, could allow a remote, unauthenticated attacker to leak its entire process memory.

Deploying a deep learning model into production has always involved a painful gap between the model a researcher trains and the model that actually runs efficiently at scale. TensorRT exists, ...

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for enterprise AI. The machine learning talent pool almost universally writes code ...

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel programming to a far wider pool of developers, and Safetensors, which fixes a ...

Writing fast GPU code is one of the most grueling specializations in machine learning engineering. Researchers from RightNow AI want to automate it entirely. The RightNow AI research team has released ...

Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while advancing AI-native education through Eureka Labs and ultra-minimal ...