今日已更新 133 条资讯 | 累计 29586 条内容
关于我们

今日精选

HOT

最新资讯

共 29586 篇
第 855/1480 页
科技前沿 The Verge AI

Riot now lets you enable its anti-cheat when you want to

If League of Legends and Valorant players have the right hardware and elect to opt into "pre-boot security mechanisms and Windows' own native protection features," then, starting today, they can switch the Vanguard anti-cheat software from always-on to one that's "on demand." With "Vanguard Pre-Check," the kernel-level driver won't launch when your system does, according […]

Jay Peters 2026-06-25 01:00 11 原文
开发者 The Verge AI

UK staff at the foundation that runs Wikipedia seeks union recognition

UK-based staff at the Wikimedia Foundation (WMF), the nonprofit that supports Wikipedia, are pushing forward with their unionization drive. On Wednesday, the staff sent a letter to WMF management requesting the organization voluntarily recognize the union. "The WMF has undergone a period of significant change in recent months, escalating workers' concerns over transparency, trust, and […]

Mia Sato 2026-06-25 00:51 8 原文
AI 资讯 HackerNews

Show HN: Metaspec: The DpANS3R Common Lisp Spec in S-Expr and HTML Format

I started this project back in 2015, to translate the TeX original specification into an easily parsed format (s-doc), and to create an HTML rendering of that format as a proof of concept. The project is homed here: https://codeberg.org/dlowe/metaspectre/ Differences from the Hyperspec (from the README): - Most importantly, it is free to modify and distribute. - The original TeX is very hard to parse and use for things other than generating a printed copy. The Hyperspec is an HTML rendering whic

dlowe-net 2026-06-25 00:28 4 原文
AI 资讯 Reddit r/MachineLearning

Find the best open-source OCR models in one place at Papers with Code [P]

Hi, I've created an overview of the most important OCR benchmarks, along with the top open models, and links to their paper and code: https://paperswithcode.co/tasks/ocr . This week, new OCR models were released by Baidu and Mistral. Baidu released Unlimited OCR , a 3B-parameter model that introduces a key innovation called Reference Sliding Window Attention (R-SWA) and builds on top of DeepSeek OCR . Mistral released OCR 4 , which is available via an API. OCR, or Optical-Character Recognition, is the task of digitizing PDFs or scanned documents. There's, of course, a huge interest in this task, as it enables ingestion of all company data for agentic use cases. AI agents love Markdown; it can be valuable to turn all those messy PDF documents into a standardized, machine-readable format. This enables use cases like agentic RAG (retrieval-augmented generation), which powers chatbots, both internally and for external customer support. With a large number of OCR releases on Hugging Face over the last few months, it may be hard to know which one to use. Hence, I've built this page, which lists the major OCR benchmarks, along with the top-performing models and links to their code. This is obviously made available on Papers with Code , the website I'm maintaining (it's a revival of the old website, which was taken down). The top recommended benchmarks are OlmOCRBench, created by Ai2, and OmniDocBench, created by Shanghai AI Laboratory. Current top recommendations are Chandra OCR 2 by Datalab and Mistral OCR v4. The former is openly available, hence you can either self-host it or use their serverless API. Let me know which other tasks you want to see major benchmarks for now! Cheers, Niels open-source @ HF submitted by /u/NielsRogge [link] [留言]

/u/NielsRogge 2026-06-25 00:26 4 原文