Quanta Magazine发布于 08/21 22:53

‘Huge Breakthrough’ in the Math of Imbalance

(翻译)不平衡数学中的“巨大突破”

For the first time in 30 years, computer scientists have found a better way to allocate objects evenly between two groups.

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雷峰网发布于 08/25 10:11

IJCAI 2026 复盘局:中国人投了最多的稿,却到不了最多的场

    作者丨 幸丽娟     编辑丨岑   峰                                                                       &nbsp

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Google DeepMind Blog发布于 08/12 22:01

Putting sign language AI into users’ hands

(翻译)将手语AI交到用户手中

Introducing sign-language-to-text (SL2T), our breakthrough model powering new sign language features for Deaf and hard of hearing users.

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AWS Machine Learning Blog发布于 08/25 03:32

Introducing new Ray capabilities on SageMaker HyperPod

(翻译)在 SageMaker HyperPod 上推出新的 Ray 功能

Amazon SageMaker HyperPod now offers managed Ray support on Amazon EKS. Create and monitor Ray clusters, connect JupyterLab and Code Editor notebooks to live clusters, get out-of-the-box observability, and run resilient distributed training and accelerated inference from SageMaker Studio, all with o

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AWS Machine Learning Blog发布于 08/24 23:53

AI-powered metadata correction and harmonization

(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

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NVIDIA Technical Blog发布于 08/22 00:21

GPU-Accelerated Clustering for Financial Instruments at Scale

(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…

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NVIDIA Technical Blog发布于 08/21 00:00

How Generative Recommenders Are Redefining RecSys at Scale

(翻译)生成式推荐器如何重新定义大规模推荐系统

Recommender systems (RecSys) are one of the most ubiquitous machine learning problems in the consumer internet industry yet notoriously difficult to train and…

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Hugging Face Blog发布于 08/13 08:00

What We Learned by Reproducing 2,200 papers from ICML

(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.

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AWS Machine Learning Blog发布于 08/21 05:23

Build a no-code ML workflow with Snowflake, Amazon SageMaker Canvas and Amazon Quick – Part 1: Setting up your Snowflake environment

(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

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