跳到正文
#官方
每分钟自动更新
8月25日周二
8月22日周六
8月21日周五
  3. Microsoft Research

    Broadening access to Skala creates a faster path to predictive DFT

    中文摘要

    Skala 1.1 是微软研究院推出的更新版深度学习交换相关泛函，它提供了更高的准确性，扩大了在计算化学生态系统中的可访问性，并建立了一个动态的基准来跟踪计算性能。帖子《扩大对 Skala 的访问，为预测 DFT 开辟更快的路径》首先发表在微软研究院。

    英文原文

    Skala 1.1, the updated deep-learning exchange-correlation functional from Microsoft Research, provides greater accuracy, expanded accessibility across the computational chemistry ecosystem, and a living benchmark to track computational performance. The post Broadening access to Skala creates a faster path to predictive DFT appeared first on Microsoft Research .

8月20日周四
8月17日周一
8月14日周五
8月13日周四
  1. Microsoft Research

    MindTopo reveals VLMs’ spatial reasoning abilities

    中文摘要

    一条路径、一堵篱笆、一个结。MindTopo为测试人工智能如何理解拓扑关系设定了新标准，并突显了加强空间推理和规划的新机遇。帖子《MindTopo揭示了VLM的空间推理能力》首先发布在微软研究院。

    英文原文

    A path, a fence, a knot. MindTopo sets a new benchmark for testing how AI understands topological relationships and highlights new opportunities to strengthen spatial reasoning and planning. The post MindTopo reveals VLMs’ spatial reasoning abilities appeared first on Microsoft Research .

8月12日周三
  1. Google DeepMind

    Putting sign language AI into users’ hands

    中文摘要

    介绍手语转文本（SL2T）模型，这是我们的突破性模型，为聋哑和听力障碍用户的新手语功能提供支持。

    英文原文

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

  4. Microsoft Research

    Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement

    中文摘要

    放射科人工智能正在超越报告生成。CARE-X 探索一种统一的方法，结合灵活的推理、校准的预测和基于测量的工具，用于胸部X光片的解读。帖子《介绍CARE-X：通过辅助监督、奖励对齐学习和工具增强测量，迈向临床有用的放射科视觉语言模型》首先发布在微软研究院。

    英文原文

    Radiology AI is evolving beyond report generation. CARE-X explores a unified approach that combines flexible reasoning, calibrated predictions, and measurement-based tools for chest X-ray interpretation. The post Introducing CARE-X: Towards Clinically Useful Radiology VLMs with Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement appeared first on Microsoft Research .

8月11日周二
  1. Mistral AI

    In-region inference, open models, and new European infrastructure for sovereign AI.

    中文摘要

    Mistral 正在整合推理基础设施、开放模型以及欧洲为掌控其人工智能未来所需做出的长期承诺，并为全球制定了发展路线图。

    英文原文

    Mistral is bringing together the inference infrastructure, open models, and long-term commitments Europe needs to control its AI future, and setting a roadmap for the world.

8月6日周四
8月4日周二
  1. Mistral AI

    Introducing Shieldstral.

    中文摘要

    Shieldstral推出了一种3B参数量的开放权重多模态安全分类器，其性能优于其7倍大小的模型。

    英文原文

    Shieldstral introduces a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size.

  2. Microsoft Research

    Orchard: An open framework for scalable agentic AI

    中文摘要

    Orchard 是一个开源框架，供研究界在不同任务类型上训练和评估人工智能代理。通过使研究人员能够重复使用相同的基础设施，Orchard 在减少复杂性的同时，仍能从小型模型中实现强大的性能。文章《Orchard：一个可扩展代理人工智能的开源框架》首先发布于微软研究院。

    英文原文

    Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure. The post Orchard: An open framework for scalable agentic AI appeared first on Microsoft Research .

7月31日周五
7月30日周四
  1. Google DeepMind

    Gemini Robotics ER 2: powering robotics with video understanding, task orchestration, and multi-robot collaboration

    中文摘要

    Gemini Robotics ER 2 帮助机器人进行推理、协作并解决现实世界中的任务。它标志着在视频理解、工具协调和多机器人协作方面，机器人应用取得了重大进展。

    英文原文

    Gemini Robotics ER 2 helps robots reason, collaborate, and solve real-world tasks. It represents a step change in video understanding, tool orchestration, and multi-robot collaboration for robotic applications.