Ozaki Scheme II

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3.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.1 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src1.9 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.7 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.3 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.0 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.0 arXiv paper proposes emotion regulation framework for empathetic speech dialogue in audio-language models — 1 src1.0 Paper Studies Graph Matching Relaxations for Supervised Graph Prediction — 1 src1.0 arXiv Paper Proposes Framework for Cognitive Attribution in Acquired Representations — 1 src3.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.1 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src1.9 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src1.7 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.3 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.1 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.0 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.0 arXiv paper proposes emotion regulation framework for empathetic speech dialogue in audio-language models — 1 src1.0 Paper Studies Graph Matching Relaxations for Supervised Graph Prediction — 1 src1.0 arXiv Paper Proposes Framework for Cognitive Attribution in Acquired Representations — 1 src

topic2 events

papersSEP 10 04:00 UTC

FP8 Tensor Cores Can Run Full FP64 3-D FFTs on Blackwell Ultra, Paper Finds

A research paper demonstrates that NVIDIA's Blackwell Ultra B300, which trades sharply reduced FP64 vector throughput for much higher FP8 tensor performance, can still execute full double-precision 3-D FFTs by emulating FP64 arithmetic on FP8 tensor cores using the Ozaki Scheme II approach. The authors identify an 'integer-epilogue wall' that limits such emulation and outline minimal hardware changes that would eliminate it.

fp8/gpu/hpc/blackwell

papersSEP 10 04:00 UTC

Paper argues FP8 with Ozaki Scheme II can substitute FP64 on next-gen NVIDIA GPUs

An updated arXiv preprint contends that low-precision FP8 matrix operations, when combined with the CRT-based Ozaki Scheme II error-compensation technique, can handle numerical workloads traditionally reserved for double-precision (FP64) hardware. The authors focus on NVIDIA's B300-class AI accelerators, claiming their tensor cores make this approach viable for a range of matrix-dominated scientific computing fields. The paper is the first part of a series challenging the assumption that dedicated FP64 units are essential for high-performance computing.

hpc/fp8/gpus/nvidia