与「organization」相关的搜索结果

ICYMI: our July AI recap ⬇️ 🌦️ Advanced weather forecasting with @NOAA and Google Cloud, using high-performance H4D virtual machines to run its atmospheric models, providing meteorologists with the AI capabilities needed to deliver life-saving early warnings. 💻 Introduced 3 new Gemini models — Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber — to deliver the efficiency, latency, and reliability to build AI agents at scale. 🇺🇸 Launched the Alliance for America’s Skilled Trades With BlackRock, Carhartt, and Ford to build a stronger pipeline for the skilled trades, scale evidence-based training approaches, and expand opportunities nationwide. ☁️ Rolled out AlphaEvolve, our Gemini-powered AI code-optimization agent, to help Cloud customers solve their hardest problems by automatically searching for better solutions and returning human-readable, optimized code. 🎵 Delivered significant advancements in musicality, lyrics, and vocal quality in Google Flow Music with Lyria 3.5, our newest music generation model. 📡 Launched three new FireSat satellites, expanding a global initiative led by the Earth Fire Alliance (EFA) with @GoogleResearch to help detect wildfires before they spread. 🧪 Established over 15 global bioresilience partnerships across governments, research groups, and biosecurity organizations to prevent model misuse, detect outbreaks rapidly, and deliver swift, coordinated responses in partnership with @IsomorphicLabs.

Launch your side hustle with @GeminiApp using these five tips ↓ No massive budget or months of planning needed. Here’s how: 🧵 1️⃣ Turn your ideas into a business plan Notebooks in Gemini let you create a centralized command center with all of your chats, files, references, and brainstorm notes, giving your ideas organization and continuity, making them easier to manage in one place.

给关注了半年的agent team 交份作业。 这是一篇2w字长文，也是一份 Agent Team 的最佳实践。 01 一个 Agent，是怎么变成多个 Agent 的为什么真实工作会把 Task Agent 推向 Long-running Agent；为什么一个越来越好用的 Agent 最后又必须分化；多个 Agent 出现以后，瓶颈为什么会转移到 Human。 02 先让“谁负责什么”离开 Human 的脑子Agent 怎样获得稳定身份、Domain 和 Scope；Human 与 Agent 怎样查询当前 Team 的责任结构；真实协作又怎样逐渐沉淀为 Organization 与 Collaboration。 03 让 Agent 自己开始协作Agent Message 带来了什么变化；一个 Agent 怎样把工作直接交给另一个 Agent；为什么 Agent 沟通不是一次把一切说完。 04 Message 负责沟通，Topic 负责收口当工作跨越多个 Agent、多个 Turn 和多天以后，怎样保留唯一的当前版本；Responsible、Participant、Artifact 和 Needs You 分别解决什么问题。 05 Overview：让一支持续变化的 Agent Team 变得可治理当 Human 不再阅读每个 Agent 的全部过程，怎样从更高层观察 Team；怎样发现等待、积压和瓶颈候选；为什么治理关注的是工作流动，而不是让每个 Agent 看起来都很忙。 06 Agent Team 怎样进入真实的外部关系为什么把 Agent 接入 Slack、飞书还远远不够；Agent 对外以后，身份、角色、信任、权限和现实后果为什么必须被分别治理。 07 CodexLoom 在织什么Multiple Agents 与 Agent Team 的真正分水岭是什么；Human 在 Team 中的新位置是什么；为什么需要稳定的 Agent 和动态的 Team。

AI security improves when organizations share research, tools and real-world experience. We’re joining industry leaders, including @NVIDIA, in the Open Secure AI Alliance to help organizations identify and address software vulnerabilities and strengthen critical systems. Learn more:

Eliminating the Senate. Replacing the presidency and Supreme Court. Abolishing ICE. Abolishing borders. Democratic Socialists of America co-chair Megan Romer openly embraced her organization's radical platform on @FoxNewsSunday when directly asked about the controversial proposals by @ShannonBream. The socialist group's growing influence in the Democratic Party has sparked increasing conversations about the future direction of the political left in America.

Collaborative robots ("cobots") are reshaping the future of work by augmenting human capabilities—not replacing them. Designed to safely work alongside people, cobots are transforming manufacturing today and arerapidly expanding into healthcare, logistics, agriculture, laboratories, construction, and retail. As AI, machine vision, and semantic reasoning continue to evolve, cobots will becomeincreasingly adaptive, autonomous, and interconnected. Their future depends not only on physical intelligence, but also onstandardized digital identities, interoperable data, and shared semantic understandingacross global ecosystems. In Web3, domain namespaces such as .COBOTS have the potential to serve as digital identity infrastructure for robotics ecosystems—supporting decentralized identities, machine-readable services, asset discovery, and trusted interactions between robots, organizations, developers, and AI agents. Web3 domains are increasingly being explored as a foundation for digital identity and decentralized applications. #Cobots# #CollaborativeRobots# #Robotics# #Web3# #DigitalIdentity# #AI# #Industry40# #Industry50# #HumanoidRobots# #SemanticWeb# #KnowledgeGraph# #Automation# #FutureOfWork#

PITN has assembled a portfolio of exact-match multilingual digital assets spanning approximately 30 of the world's most widely spoken languages and writing systems. Structured using Unicode-based normalization, transliteration, and cross-lingual terminology mapping, the portfolio is designed to function as a semantic gateway for robotics and humanoid AI. By aligning concepts such as ROBOT, ROBOTS, HUMANOID, HUMANOIDS, and HUMANOID ROBOT across native scripts, these assets may support ontology-driven knowledge organization, AI discovery, semantic search, multilingual SEO, and globally consistent concept representation as search evolves from keywords to meaning. As humanoid technologies scale worldwide, standardized multilingual semantic infrastructure may become an increasingly important layer for global interoperability and discoverability. The more compelling question is not whether this semantic layer will matter, but at what point a major robotics company will have its "aha" moment and recognize that has already assembled a semantic gateway that could be leveraged today to accelerate global multilingual concept alignment and future humanoid ecosystems. #PITNAI# #Humanoid# #HumanoidRobots# #Robotics# #Ontology# #SemanticWeb# #KnowledgeGraph# #SemanticSearch# #AI# #NLP# #Multilingual# #Unicode# #SEO# #FutureOfAI# #AgenticAI# #DigitalInfrastructure#

Our first Kite demo was ChatGPT ordering Uber Eats for you. It never got past the login screen. Uber's CAPTCHA was built for humans, and agents cannot pass it. On @gracegongGG's Venture with Grace, our Co-Founder & CEO @ChiZhangData traced how that moment shaped the way we design Kite. ▷ The demo died at the login, not at ordering or paying. The blocker was proving the agent was allowed to be there at all. Spinning up a browser extension to click through the CAPTCHA works, but it is a temporary stage of how agents and the internet should work together. ▷ The permanent path is identity. Every agent needs to prove who it is and where it comes from, carrying who its human or organization principal is, what its purpose is, and the exact authorization scope for that session or request. An agent showing up with no reason is either hallucinating or attacking you. ▷ Where this is heading: an API-first agentic internet, where headless agents authenticate without human login credentials. x402 and MCP are already marching toward that. Kite Agent Passport is that identity layer: verifiable identity, delegated authority, and permissions scoped per session. No more "prove you're human." 🪁

Grok is now available directly inside Google Workspace One add-on brings Grok into Google Sheets, Slides and Docs, where it works beside the file you already have open In Sheets, Grok can: • Read selected ranges and explain the data • Cite the exact cells behind its answers • Write and fill real spreadsheet formulas • Update values and rebuild financial scenarios In Slides, it can: • Generate a complete presentation from an outline • Add new slides that match the existing theme • Restructure entire sections • Rewrite titles so every slide communicates a clear takeaway In Docs, it can: • Draft directly inside the document • Turn rough notes into formatted sections • Correct grammar and rewrite content • Apply consistent headings and styles across the file Everything happens through a side panel, without constantly copying information between tabs or rebuilding the output manually One installation works across all three apps, and organizations can deploy it across their entire workforce Grok is rapidly becoming a native intelligence layer for the tools people already use every day