The choice of deep learning frameworks increasingly reflects how AI projects are built, from experimentation to large-scale deployment. Hiring decisions now focus on how well candidates can apply ...
JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...
Three critical security flaws have been disclosed in an open-source utility called Picklescan that could allow malicious actors to execute arbitrary code by loading untrusted PyTorch models, ...
A crafted inference request in Triton’s Python backend can trigger a cascading attack, giving remote attackers control over AI-serving environments, researchers say. A surprising attack chain in ...
Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
The Torch-MLIR project aims to provide first class compiler support from the PyTorch ecosystem to the MLIR ecosystem. This project is participating in the LLVM Incubator process: as such, it is not ...
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