（翻译）我们对 AI 智能的思考正确吗？
Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.
作者丨 张璐 编辑丨 岑峰 幸丽娟 &n
对很多公司来说，数据基础设施就像一个黑盒子：数以百万计的数据点被送进去，复杂查询在里面运行，然后报表被吐出来。但一旦系统变慢、成本飙升，或者某个关键 dashboard 突然空白，想找到根因就像在黑暗里摸索。为了让这个问题更清晰地被看见，实时购物平台 Whatnot 在 Snowflake Summit 2026 上与 Snowflake 同台分享了他们的实践。这个合作案例说明，现代数据工具可以在巨大的实时压力下，依然让客户体验保持顺滑、可靠且完全可见。
Netflix 开源了一个用于观察性因果推断（OCI）的智能代理工作流。该工作流可以减轻因果分析中的繁琐工作。
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”。
（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 .
（翻译）WeatherNext：AI模型在预测气旋方面取得突破
（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.
（翻译）加速科学发现的前沿：Google 对 Genesis Mission 的 4000 万美元承诺
Google is committing $40 million in AI tokens and cloud credits to support the DOE’s Genesis Mission and accelerate groundbreaking scientific discovery.
（翻译）AI 驱动的元数据修正与协调
Metadata harmonization (standardizing labels, identifiers, and formats so datasets can work together) is still largely manual. This post shows how AI-powered metadata correction works in practice, covering two approaches, human-in-the-loop validation and autonomous agent-driven workflows, plus gover
（翻译）GPU加速的大规模金融工具聚类
Use AdaptGrow, a GPU-accelerated matrix factorization algorithm, to turn rolling correlation and tail-dependence matrices into hard clusters…
（翻译）我们通过复现 2,200 篇 ICML 论文学到了什么
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第1部分：设置Snowflake环境
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon SageMaker Canvas, laying the foundation for
（翻译）OlmoEarth 嵌入介绍：从 OlmoEarth Studio 导出自定义嵌入用于下游分析
A Blog post by Ai2 on Hugging Face
（翻译）使用Snowflake、Amazon SageMaker Canvas和Amazon Quick构建无代码机器学习工作流——第2部分：使用Amazon SageMaker Canvas进行数据准备和模型构建
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying the groundwork for interactive dashboards
