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Nov 3
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ProductsBuildersSelected09:34
Aisin Develops 16nm STT-MRAM AI SoC for Object Detection

On-chip MRAM removes the DRAM/SSD bottleneck that normally limits edge AI boot times and power budgets, pointing to always-on vision systems in cars and IoT devices. Automotive engineers and embedded developers designing low-power perception pipelines can use this as a reference architecture for MRAM-based inference. As a Japanese automotive supplier, Aisin's work sits alongside efforts by ASEAN auto manufacturing hubs like Thailand that depend on such component suppliers for next-generation vehicle electronics.

IT之家Source
ProductsBuildersMulti-sourceSelected08:22
llm 0.37 adds GPT-6.1 models and OpenAI-compatible endpoint command

The maintainer's workflow treats AI-assisted pull requests as bug reports with attached examples, offering a working model for open source projects drowning in low-quality contributions. Developers using the CLI gain cheaper default inference and a one-command path to any OpenAI-compatible API, which is handy for wiring in regional providers or self-hosted endpoints alongside OpenAI models.

Event
Official accountSimon Willison’s WeblogSource

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