Solidot发布于 08/25 16:13
狩猎采集者的睡眠时间并不比工业社会的现代人长
Solidot是至顶网的科技资讯网站，主要面对开源自由软件和关心科技资讯读者群，包括众多中国开源软件的开发者，爱好者和布道者。口号是“奇客的知识，重要的东西”。
雷峰网发布于 08/25 10:18
通用模型竟然比医疗专用模型更懂医疗？一篇 ACL 论文的两个反直觉发现 | GAIR Paper 123
作者丨 幸丽娟 编辑丨岑 峰  
Google AI Blog发布于 08/12 01:00
AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study.
（翻译）我们的研究医疗AI系统AMIE在一项同类首创研究中展示实时临床视频咨询能力。
Google introduces AMIE for real-time clinical video consultations in simulated settings.
Microsoft AI Blog发布于 08/04 21:38
Teaching AI to speak the language of pathology
（翻译）教 AI 说病理学的语言
The post Teaching AI to speak the language of pathology appeared first on Source .
Microsoft AI Blog发布于 06/09 23:05
Why don’t cancer medicines work the same for everyone?
（翻译）为什么癌症药物对每个人的效果不同？
Why do cancer drugs work for some people but not others? New AI research looks at how tumor cells behave to better match treatments to patients.
Microsoft AI Blog发布于 05/19 07:06
At aged care provider Regis, AI takes on paperwork so staff can focus on residents
（翻译）在养老服务机构Regis，AI接手文书工作，让员工专注于居民护理
Regis Aged Care uses AI with Microsoft Foundry and Copilot Studio to reduce admin work and help staff focus on resident care.
Google DeepMind Blog发布于 07/16 17:30
Our approach to bioresilience
（翻译）我们的生物弹性方法
Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience and AI models.
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.
Hugging Face Blog发布于 07/27 17:32
NVIDIA Cosmos-H-Dreams: Bringing Real-Time Generative Simulation to Surgical Robotics
（翻译）英伟达 Cosmos-H-Dreams：为手术机器人带来实时生成式模拟
A Blog post by NVIDIA on Hugging Face
arXiv cs.AI发布于 08/26 12:00
FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare
（翻译）FLARE：医疗保健中基于证据的人工智能采用的系统性、不确定性感知框架
Abstract page for arXiv paper 2608.23643: FLARE: A Systematic, Uncertainty-Aware Framework for Evidence-Based Adoption of Artificial Intelligence in Healthcare