Aisin 做了款 AI 芯片，能耗砍掉 98%，汽车和工业设备上跑推理的可以关注下。
日本汽车零部件厂商 Aisin 开发出一款新型 AI 芯片，能耗可降低 98%。该芯片瞄准边缘端推理场景，适合对功耗敏感的汽车和工业设备。日经亚洲对此进行了报道。
Japan's Aisin develops new type of AI chip that cuts energy use 98% https://t.co/VQmCRayAjC
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.
自托管协作平台 Nextcloud 接入了 Ai2 的开源模型 OLMo 3，数据留在本地，连模型怎么训练的都能查，适合在意数据主权的团队。
Salesforce 做了个通话时自动扒客户数据给建议的智能体，做销售客服的可以看看实机演示。
It treats correctness, not speed, as the bottleneck for agent-driven analytics, requiring answers to carry verifiable business meaning and lineage. Data and platform teams can layer it on existing semantic models instead of rebuilding them, and expose certified metrics to any MCP-capable agent. Deployment is self-hosted via NGC Helm charts or Docker Compose, with self-service registration disabled and a bootstrap admin required for governance.
