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Watch this ADK Agent powered by Gemma 4 31B use the Google Maps MCP Server to build a custom food tour in this demo 🍜📍 See the model in action with: -Multi-step reasoning (solving complex routes) -Multimodal logic (processing visuals and text) -Live data integration (direct connection to Google Maps)

Google AI Developers

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28,084 次观看 • 4 个月前 •via X (Twitter)

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💎 Gemma 4 31B can leverage an ADK Agent and code execution sandbox to autonomously navigate complex, ambiguous tasks. Follow along as this demo showcases: + Zero-shot code generation + Tool usage + Multi-step debugging and recovery + “Learned” multimodal output

💎 Gemma 4 31B can leverage an ADK Agent and code execution sandbox to autonomously navigate complex, ambiguous tasks. Follow along as this demo showcases: + Zero-shot code generation + Tool usage + Multi-step debugging and recovery + “Learned” multimodal output

Google AI Developers

39,423 次观看 • 4 个月前

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

New short course: Build AI Apps with MCP Servers: Working with Box Files, built with Box and taught by Ben Kus , their CTO. Many AI applications require custom code for basic file operations. The Model Context Protocol (MCP) standardizes this by letting you offload file tasks to dedicated servers that provide tools an LLM can use directly. In this course, you'll process documents stored in a Box folder using the Box MCP server. Rather than writing custom integration code to connect to the Box API and download files, you'll design your application to use the tools provided via MCP. Skills you'll gain: - Build an LLM-powered document processing app, using the Box MCP server to access files - Design a multi-agent system using Google's Agent Development Kit (ADK), consisting of specialized agents for file operations - Coordinate the multi-agent workflow through an orchestrator that uses the Agent2Agent (A2A) protocol to connect to the agents You'll start with a local file-processing app, refactor it to work with Box's MCP server, then evolve it into a multi-agent system. Sign up here:

Andrew Ng

81,696 次观看 • 11 个月前

Grounding with Google Maps is now available in the Gemini API📍The new feature connects the reasoning capabilities of Gemini models with the real-world data of Google Maps (from 250 million places) allowing devs to build a new class of geospatial-aware AI apps.

Grounding with Google Maps is now available in the Gemini API📍The new feature connects the reasoning capabilities of Gemini models with the real-world data of Google Maps (from 250 million places) allowing devs to build a new class of geospatial-aware AI apps.

Google AI Developers

60,286 次观看 • 10 个月前

In this demo, you’ll see Gemini 3 Flash’s frontier-level reasoning and multimodal capabilities on display. The model is able to simultaneously conduct complex geometric calculations while processing complex inputs (video and image). You can play around with the slingshot in Google AI Studio here and share your favorite examples below:

In this demo, you’ll see Gemini 3 Flash’s frontier-level reasoning and multimodal capabilities on display. The model is able to simultaneously conduct complex geometric calculations while processing complex inputs (video and image). You can play around with the slingshot in Google AI Studio here and share your favorite examples below:

Google AI

55,622 次观看 • 8 个月前

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

Build your first AI agent + MCP Server in Python. Here is everything you need to build your first AI agent in less than 20 minutes. About the code you'll see here: 1. I used Google ADK with Gemini Flash to power the agent 2. The agent connects to an MCP server 3. It also uses two custom tools to do its work 4. You can see everything the agent does thanks to Comet's Opik library Here is the video, free for you to watch.

Santiago

56,569 次观看 • 1 年前

BREAKING - EARLY EXCLUSIVE: XPENG Partners with Google Maps to Fuel Global Expansion The global autonomous driving landscape is becoming even more competitive! XPENG has announced a milestone global partnership with Google Maps, bringing a complete refresh of its in-car navigation and advanced driver assistance systems (ADAS). This major upgrade will come standard in the newly debuted XPENG L03. At the official launch event for the L03 in Munich, Germany, XPENG Chairman and CEO He Xiaopeng announced that the Next-Gen AI SUV Coupe will launch simultaneously in 64 countries and regions. XPENG is building its native in-car navigation system using Google Maps’ Auto SDK for vehicles outside China, which I’m sure MANY of you will be excited about. First in APAC to Adopt Google Maps Auto SDK XPENG is the first automaker from the APAC region to ship a vehicle with Google Maps Auto SDK integration. Instead of using your smartphone for basic screen mirroring, drivers get a native, custom in-car map application designed entirely by XPENG and powered directly by Google Maps. This integration brings: Real-time precision: Live traffic-aware guidance and highly accurate place search. Smart EV routing: Direct in-car EV energy estimation and trip planning. Native control: Full compatibility with voice control and multi-screen display transfer. Laying the Foundation for Global Autonomous Driving This partnership goes beyond finding directions. XPENG is officially utilizing Google Maps' in-vehicle Map Data Services to support its flagship full-scenario ADAS, Next Generation Pilot (NGP), as well as its foundational assist system, XPILOT ASSIST. To scale XPENG's advanced driving systems internationally, future applications of NGP (VLA 2.0) must rely on highly accurate map data and navigation maneuvers. Google Map Data Services will serve as the cornerstone for this phased global rollout, excluding markets in the Commonwealth of Independent States (CIS). Think of it as a fusion of XPENG’s technology with Google Maps Technology to get a more robust, intelligent, powerful, and safe autonomous driving experience. Overseas users of the XPENG L03 will be the very first to experience this upgraded, Google-powered native navigation system. My Thoughts I personally love and use Google Maps, so I’m glad to see this partnership, and I find it really neat how XPENG and Google Maps technology will work together. What are your thoughts and questions on XPENG integrating Google Maps natively to power its global self-driving tech? Let me know in the replies, and I will try to find the answers to your questions.

BREAKING - EARLY EXCLUSIVE: XPENG Partners with Google Maps to Fuel Global Expansion The global autonomous driving landscape is becoming even more competitive! XPENG has announced a milestone global partnership with Google Maps, bringing a complete refresh of its in-car navigation and advanced driver assistance systems (ADAS). This major upgrade will come standard in the newly debuted XPENG L03. At the official launch event for the L03 in Munich, Germany, XPENG Chairman and CEO He Xiaopeng announced that the Next-Gen AI SUV Coupe will launch simultaneously in 64 countries and regions. XPENG is building its native in-car navigation system using Google Maps’ Auto SDK for vehicles outside China, which I’m sure MANY of you will be excited about. First in APAC to Adopt Google Maps Auto SDK XPENG is the first automaker from the APAC region to ship a vehicle with Google Maps Auto SDK integration. Instead of using your smartphone for basic screen mirroring, drivers get a native, custom in-car map application designed entirely by XPENG and powered directly by Google Maps. This integration brings: Real-time precision: Live traffic-aware guidance and highly accurate place search. Smart EV routing: Direct in-car EV energy estimation and trip planning. Native control: Full compatibility with voice control and multi-screen display transfer. Laying the Foundation for Global Autonomous Driving This partnership goes beyond finding directions. XPENG is officially utilizing Google Maps' in-vehicle Map Data Services to support its flagship full-scenario ADAS, Next Generation Pilot (NGP), as well as its foundational assist system, XPILOT ASSIST. To scale XPENG's advanced driving systems internationally, future applications of NGP (VLA 2.0) must rely on highly accurate map data and navigation maneuvers. Google Map Data Services will serve as the cornerstone for this phased global rollout, excluding markets in the Commonwealth of Independent States (CIS). Think of it as a fusion of XPENG’s technology with Google Maps Technology to get a more robust, intelligent, powerful, and safe autonomous driving experience. Overseas users of the XPENG L03 will be the very first to experience this upgraded, Google-powered native navigation system. My Thoughts I personally love and use Google Maps, so I’m glad to see this partnership, and I find it really neat how XPENG and Google Maps technology will work together. What are your thoughts and questions on XPENG integrating Google Maps natively to power its global self-driving tech? Let me know in the replies, and I will try to find the answers to your questions.

M. Brandon Lee | THIS IS TECH TODAY

65,878 次观看 • 1 个月前

Here it is. We're making it super easy for anyone to build AI powered apps in Google AI Studio. 🚀 In the tutorial below, go from idea to live restaurant recommender app, with Gemini and Google Maps Grounding in under 60 seconds. Excited to see what you build! 👇

Here it is. We're making it super easy for anyone to build AI powered apps in Google AI Studio. 🚀 In the tutorial below, go from idea to live restaurant recommender app, with Gemini and Google Maps Grounding in under 60 seconds. Excited to see what you build! 👇

Ammaar Reshi

56,108 次观看 • 10 个月前

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Google AI

4,751,593 次观看 • 5 个月前

🚨 DePHY drops its most advanced MCP Demo yet 🚨 Our MCP Service Mesh gives AI the power to act in the real world - calling tools like Google Maps, Search, Scrape and Time to complete complex prompts! Watch our demo video and try it out for yourself at the link below 👇

🚨 DePHY drops its most advanced MCP Demo yet 🚨 Our MCP Service Mesh gives AI the power to act in the real world - calling tools like Google Maps, Search, Scrape and Time to complete complex prompts! Watch our demo video and try it out for yourself at the link below 👇

DePHY

37,072 次观看 • 1 年前

🚨 Breaking: Google just open-sourced the Agent Development Kit (ADK) a framework for building AI agents and multi-agent systems. - Build agents in under 100 lines. - Supports MCP More information and how to get started 👇 1/5

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AshutoshShrivastava

130,272 次观看 • 1 年前

Excited to bring the power of Gemini to Google Maps navigation for walking and cycling, globally. Use Gemini in Maps as a neighborhood tour guide (you could learn something new!) or to send a text with your ETA while walking or biking -- all hands-free.

Excited to bring the power of Gemini to Google Maps navigation for walking and cycling, globally. Use Gemini in Maps as a neighborhood tour guide (you could learn something new!) or to send a text with your ETA while walking or biking -- all hands-free.

Nick Fox

41,857 次观看 • 7 个月前

Claude just became a craacked video game designer. With the launch of Unreal Engine's MCP server last week, you can now build entire video games just by talking to Claude. I spent the past few days building with it, and I'm telling you, this is going to forever change how video games get made and who gets to make them. In this video I show you exactly how to set up the Unreal Engine MCP yourself and run through three demos: building a full playable city, cloning a real city from Google Earth, and creating custom buildings in Blender. Here's the agent harness I mention too: Intro What I built in a few hours Setting up the Unreal MCP server Fixing the port 8000 connection issue The agent harness that avoids the pitfalls Demo 1: Building a city with City Sample Demo 2: Cloning a real city from Google Earth with Cesium Demo 3: Custom buildings with Blender headless Outro

Claude just became a craacked video game designer. With the launch of Unreal Engine's MCP server last week, you can now build entire video games just by talking to Claude. I spent the past few days building with it, and I'm telling you, this is going to forever change how video games get made and who gets to make them. In this video I show you exactly how to set up the Unreal Engine MCP yourself and run through three demos: building a full playable city, cloning a real city from Google Earth, and creating custom buildings in Blender. Here's the agent harness I mention too: Intro What I built in a few hours Setting up the Unreal MCP server Fixing the port 8000 connection issue The agent harness that avoids the pitfalls Demo 1: Building a city with City Sample Demo 2: Cloning a real city from Google Earth with Cesium Demo 3: Custom buildings with Blender headless Outro

Pat Simmons

531,009 次观看 • 2 个月前

We’re bringing new capabilities powered by Gemini models to Google Maps. With Ask Maps, get answers to complex questions about any place you want. For example it can help with complex requests like "Find me the best 3-hour family hikes in the Grand Tetons and a spot for a packed lunch”. Will try this next time I'm there:) Rolling out now in the US and India.

We’re bringing new capabilities powered by Gemini models to Google Maps. With Ask Maps, get answers to complex questions about any place you want. For example it can help with complex requests like "Find me the best 3-hour family hikes in the Grand Tetons and a spot for a packed lunch”. Will try this next time I'm there:) Rolling out now in the US and India.

Sundar Pichai

723,273 次观看 • 5 个月前

How to access a TREASURE TROVE of local business data with Gemini's new Google Maps tool (10 min tutorial) 1) build an MCP server 2) find boring business ideas 3) generate full on marketing/sales campaigns Plus ideas for taking this to the next level if you want to build it

How to access a TREASURE TROVE of local business data with Gemini's new Google Maps tool (10 min tutorial) 1) build an MCP server 2) find boring business ideas 3) generate full on marketing/sales campaigns Plus ideas for taking this to the next level if you want to build it

The Boring Marketer

36,491 次观看 • 10 个月前

New course: A2A: The Agent2Agent Protocol, built with Google Cloud Tech and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: - Expose agents from different frameworks as A2A servers to make them discoverable and interoperable - Chain A2A agents sequentially using ADK, where one agent's output feeds into the next - Connect A2A agents to external data sources using MCP (Model Context Protocol) - Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration!

New course: A2A: The Agent2Agent Protocol, built with Google Cloud Tech and IBM Research, and taught by Holt Skinner, Ivan Nardini, and Sandi Besen. Connecting agents built with different frameworks usually requires extensive custom integration. This short course teaches you A2A, the open protocol standardizing how agents discover each other and communicate. Since IBM’s ACP (Agent Communication Protocol) joined forces with A2A, A2A has emerged as the industry standard. In this course, you'll build a healthcare multi-agent system where agents built with different frameworks, such as Google ADK (Agent Development Kit) and LangGraph, collaborate through A2A. You'll wrap each agent as an A2A server, build A2A clients to connect to them, and orchestrate them into sequential and hierarchical workflows. Skills you'll gain: - Expose agents from different frameworks as A2A servers to make them discoverable and interoperable - Chain A2A agents sequentially using ADK, where one agent's output feeds into the next - Connect A2A agents to external data sources using MCP (Model Context Protocol) - Deploy A2A agents using Agent Stack, IBM's open-source infrastructure Join and learn the protocol standardizing agent collaboration!

Andrew Ng

86,175 次观看 • 6 个月前

Watch this demo from Thor 雷神 ⚡️ to see Gemini 3.1 Flash Live in action as a real-time DJ. The model uses function calling (to the Gemini API) to generate custom 30-second clips using Lyria 3️⃣ Start your own studio session in Google AI Studio:

Watch this demo from Thor 雷神 ⚡️ to see Gemini 3.1 Flash Live in action as a real-time DJ. The model uses function calling (to the Gemini API) to generate custom 30-second clips using Lyria 3️⃣ Start your own studio session in Google AI Studio:

Google AI Developers

11,216 次观看 • 4 个月前

The Apple Maps turnaround is impressive. ▫️iPhone started with Google Maps ▫️broke up after Google withheld voice-guided navigation (competitive advantage for Android) ▫️in 2012, started using TomTom data but sucked so bad Tim Cook apologized ▫️now spent billions mapping >4 million miles of proprietary street level maps data with specialized vans and people wearing goofy Apple backpack cameras walking around town (see below) Google probably makes $15B-20B on advertising in Maps. Apple’s services revenue is $100B+ in 2025 and Maps ads help push the services narrative (especially as Apple slowly forced to reduce App Store fees).

The Apple Maps turnaround is impressive. ▫️iPhone started with Google Maps ▫️broke up after Google withheld voice-guided navigation (competitive advantage for Android) ▫️in 2012, started using TomTom data but sucked so bad Tim Cook apologized ▫️now spent billions mapping >4 million miles of proprietary street level maps data with specialized vans and people wearing goofy Apple backpack cameras walking around town (see below) Google probably makes $15B-20B on advertising in Maps. Apple’s services revenue is $100B+ in 2025 and Maps ads help push the services narrative (especially as Apple slowly forced to reduce App Store fees).

Trung Phan

1,922,705 次观看 • 5 个月前

We partnered with artists, designers, and builders to create new AI tools that solve real problems in their creative workflows. Here’s what’s new: — Introducing Google Pics in Google Workspace: A brand-new image creation & editing tool. Move and resize objects, add text, and translate just by hovering and clicking — Big updates to صافي النيه😉: 1) You can now create with Gemini Omni Flash in Google Flow 2) Google Flow Agent is a multi-step creative partner that reasons and plans complex tasks with you. 3) Google Flow tools are custom tools you can “vibe code” for animations, video effects, text layering & more — Design live with Stitch by Google: Now, you can use text or voice prompts to edit layouts in real time then export those designs straight to code — More creative control in صافي النيه😉Music: Edit songs section by section, remix the style of full songs, and create music videos with our new Gemini Omni Flash model

Google AI

13,954,152 次观看 • 3 个月前