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vLLM 语义路由器发布 d3-ultra:一款 270 亿参数的开源多模态决策模型
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百度开源无限OCR 2,用于百页文档解析
MarkTechPost雅可比透镜的数学理论
arXiv cs.LGTraceQuery:从扩散语言模型的完整去噪轨迹中学习哪些部分需要重新计算
arXiv cs.CL明智地低语:用于ASR微调的智能子集选择
arXiv cs.CLOpenESM:能量引导模型具有可扩展性,是基础学习者
arXiv cs.CLEKT路由器:面向具身视觉-语言模型的专家证据对齐
arXiv cs.CVNemotron 3.5 Bolt 74B-A9B 24GB:一种用于本地人工智能的视觉-语言混合模型
arXiv cs.CV基于证据的直觉:面向多模态智能体的自适应双重记忆
arXiv cs.CV从发现前沿资讯,到找到趁手的工具。
发现好用的 AI
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Claude通用助手与搜索Claude 是 Anthropic 推出的 AI 助手,可通过对话协助写作、阅读资料、分析数据和编程,并将部分任务整理为可继续编辑的文档、表格或演示文件。适合希望把想法、资料和初稿衔接起来的个人与团队。
GGemini 是 Google 的 AI 助手,可通过对话协助写作、规划、整理资料和分析上传文件,也可用 Deep Research 围绕一个主题检索资料并生成研究报告。
MMidjourney 是从文字和参考图片生成视觉作品的 AI 创作工具。可在网页 Create 页面输入提示,比较生成版本,再使用变体、编辑、放大或图像转视频等功能继续创作。
KKrea 是 AI 视觉创作工作空间,可从文字或参考图生成图片,比较不同模型与变体,再进行编辑、细节增强和放大,也提供视频及其他创意工具入口。
RRunway 是集视频生成、视觉编辑和创作流程于一体的 AI 平台。可从文字、图片或已有片段开始,生成或修改镜头,再进行延长、放大和导出,服务于概念短片、广告及其他视觉制作。
SSuno 是通过文字描述、歌词和参考素材创作歌曲的 AI 音乐平台。用户可生成带人声的歌曲或音乐,再使用编辑、重混与音轨分离等功能继续制作和分享。
EElevenLabs 是提供 AI 语音生成、音频创作和语音智能体的平台。创作者可以制作配音、有声书、播客及本地化内容,开发者则可通过 API 接入语音生成、转录和对话能力。
N
Notion AI办公与效率Notion AI 是集成在 Notion 工作空间中的 AI 助手,用于查找团队知识、生成和编辑页面、处理数据库及整理会议内容。它结合工作空间和已连接应用的上下文,帮助把资料查询、内容整理和后续任务放在同一工作环境中完成。
GGamma 是用 AI 协助制作演示文稿、文档、网页和视觉内容的产品,可从目标、提纲或已有资料开始生成内容,再通过对话、布局与自由编辑调整成品。
CCursor 是围绕软件开发任务工作的 AI 编程产品,可在代码上下文中协助规划、修改、测试和审查代码,并提供桌面、命令行及云端智能体等使用方式。
AI 正在发生
1185 条已发布资讯Co-Scientist: A multi-agent AI partner to accelerate research
Introducing Co-Scientist, a collaborative AI partner built with Gemini to help researchers accelerate scientific breakthroughs.
译文排队中,当前为原文 · enAdaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling
Overview of adaptive parallel reasoning. What if a reasoning model could decide for itself when to decompose and parallelize independent subtasks, how many concurrent threads to spawn, and how to coordinate them based on the problem at hand? We provide a detailed analysis of recent progress in the field of parallel reasoning, especially Adaptive Parallel Reasoning. Disclosure: this post is part landscape survey, part perspective on adaptive parallel reasoning. One of the authors (Tony Lian) co-led ThreadWeaver (Lian et al., 2025), one of the methods discussed below. The authors aim to present each approach on its own terms. Motivation Recent progress in LLM reasoning capabilities has been largely driven by inference-time scaling, in addition to data and parameter scaling (OpenAI et al., 20
译文排队中,当前为原文 · enAlphaEvolve: How our Gemini-powered coding agent is scaling impact across fields
Explore how AlphaEvolve's Gemini-powered algorithms are driving impact across business, infrastructure, and science.
译文排队中,当前为原文 · enEnabling a new model for healthcare with AI co-clinician
Researching the path to AI-augmented care and development of an AI co-clinician.
译文排队中,当前为原文 · enWorkflows for work that runs the business
Workflows is now in public preview.
译文排队中,当前为原文 · enAnnouncing our partnership with the Republic of Korea
Google DeepMind and Korea partner to accelerate scientific breakthroughs using frontier AI models
译文排队中,当前为原文 · enDecoupled DiLoCo: A new frontier for resilient, distributed AI training
Decoupled DiLoCo: A new frontier for resilient, distributed AI training
译文排队中,当前为原文 · enPartnering with industry leaders to accelerate AI transformation
Google DeepMind partners with global consultancies to bring the power of frontier AI to organizations around the world.
译文排队中,当前为原文 · enGradient-based Planning for World Models at Longer Horizons
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1) lifting the trajectory into virtual states so optimization is parallel across time, (2) adding stochasticity directly to the state iterates for exploration, and (3) reshaping gradients so actions get clean signals while we avoid brittle “state-input” gradients through high-dimensional vision models. Large, learned world models are becoming increasingly capable. They can predict long sequences of future observations in high-dimensional visual spaces and generalize across tasks in ways that were difficult to imagine a few years ago. As these models scale, they start to look less like task-specific predictors and more like general-purpose simulators. But having a powe
译文排队中,当前为原文 · enGemini 3.1 Flash TTS: the next generation of expressive AI speech
Our newest audio model introduces granular audio tags that give you precise control to direct AI speech for expressive audio generation.
译文排队中,当前为原文 · enGemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning
Gemini Robotics ER 1.6: Enhancing spatial reasoning and multi-view understanding for autonomous robotics.
译文排队中,当前为原文 · en