AWS Machine Learning Blog发布于 08/20 23:20

Build intelligent security for healthcare APIs with Amazon Bedrock

(翻译)使用 Amazon Bedrock 为医疗保健 API 构建智能安全

Learn how to add context-aware security monitoring to FHIR APIs using Amazon Bedrock. This post shows how to detect anomalous access patterns, classify data sensitivity automatically, and generate compliance reports in natural language, all without adding latency to clinical workflows.

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arXiv cs.AI发布于 08/28 12:00

Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset

(翻译)独立LLM与预指定Agentic流水线用于解释ICU死亡率预测:基于eICU演示数据集的一项可行性研究

Abstract page for arXiv paper 2608.26109: Standalone LLM and a Pre-specified Agentic Pipeline for Explaining ICU Mortality Predictions: a Feasibility Study on the eICU Demo Dataset

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arXiv cs.AI发布于 08/28 12:00

A Safety-Gated Multimodal AI Backend for Mental-Health Support: Hierarchical State Representation, Conservative Risk Fusion, and Controlled Generation in Anian

(翻译)用于心理健康支持的安全门控多模态AI后端:Anian中的层级状态表示、保守风险融合与受控生成

Abstract page for arXiv paper 2608.26162: A Safety-Gated Multimodal AI Backend for Mental-Health Support: Hierarchical State Representation, Conservative Risk Fusion, and Controlled Generation in Anian

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人人都是产品经理发布于 08/31 10:49

准备上知识图谱和本体(Ontology)?要什么团队、选什么场景、花多少成本

企业上知识图谱与本体论,最难的不在算法而在场景与团队。文章以中后台、电商、医疗三类AI客服为切口,拆解确定性推导、情绪意图与循证证据链三种能力边界,指出多数项目卡在数据与产研协同,而非模型本身,并给出团队配置与成本判断。

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Google AI Blog发布于 09/16 00:00

Building AI to accelerate science and improve lives

(翻译)构建AI以加速科学进步并改善生活

The true measure of AI is who it helps. Here’s how it’s impacting lives today. We're focused on key areas where advanced technology can help make extraordinary progress for humanity possible.

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