We announced the product launch at Cloud Next'26 to tackle RAG hallucinations. Now, Google Research is lifting the veil on exactly how it works!
Dive into the Agentic RAG architecture and see how the Sufficient Context Agent powers it all under the hood.
Introducing our new agentic RAG framework. A collab with Google Cloud, our multi-agent workflow goes beyond standard RAG by breaking down complex enterprise queries & iteratively searching for sufficient context before generating dependable responses.
๐โhttps://t.co/A8l499bLrj
Yesterday Fitbit Air launched, but did you know it comes with a new @googlehealth API? You can build AI agents, MCP servers, or CLIs on top of your sleep and heat data.
- 31 different data points from exercise to sleep, heart rate, or SpO2.
- Webhooks push real-time notifications when health data changes.
- Support Read or write data, request only the permissions you need.
- Query by time range, roll up daily summaries, or paginate results.
I am whoop guy, but might be good reason to explore this. Full getting started codelab below.๐๐ป
TimesFM under the hood. ๐ The unlock: one foundation model surfaces meaningful events across every ticker - no per-stock training, no bespoke pipelines. Time-series FMs are quietly becoming infrastructure. Glad to see them shipping in something users actually feel.
Just shipped AI-powered key moments in Google Finance so you can:
+Understand major price swings in stock charts (1 month+ view) ๐
+Jump to key moments in corporate earnings calls ๐ง
Small team built these features from the ground up (and fast) using @Antigravity, check em out
https://t.co/nXmtHBpfWp
Roads Management Insights is expanding with Disruptions (timely information about road disruptions ) and Vehicle Counts (understanding traffic volume). Supported by our breakthroughs in Mobility AI, this empowers road managers to replace guesswork with objective data to guide infrastructure investment and prioritize safety interventions. ๐
What an incredible #CloudNext! We shared Google Maps Platform's biggest news of the season with new ways to build with imagery and AI, including Imagery Grounding, Imagery Insights, Roads Management Insights, Population Dynamics Insights, and so much more.
It was a blast getting to meet so many enthusiastic devs in person โ we can't wait to keep innovating with you!
Introducing a suite of new Roads Management Insights capabilities for the public and private sectors: We're connecting the agencies that maintain roads with commercial fleets that drive on them โก๏ธ https://t.co/C0WcPtrGps
We're bringing two powerful new data layers from Google Earth AI to the Roads Managements Insights (RMI) portfolio in Preview in the coming weeks:
โ ๏ธ Get timely info about Road Disruptions with early signal detection and infrastructure awareness
๐ Use Vehicle Counts to understand traffic volume, identify safety improvements, and manage congestion
In modern supply chains, the "middle mile" is where margins can be made or lost. RMI can help you protect your margins with precision planning for route variants and by identifying disruptions before they cascade through your fleet.
And, dispatchers can analyze live disruptions to identify high-risk zones and secondary accident queues. Learn more at the link above.
The new AI-powered Google Finance is going global and shipping to 100+ countriesโฆ itโs a total reinvention of Google Finance with AI at the core ๐๐๐
+ AI-powered market research
+ Advanced charting
+ Live earnings calls
+ Expanded real-time data
Try it: https://t.co/DUtHFXM0cH
Announcing the #GoogleOrgImpactChallenge: AI for Government Innovation! ๐๏ธ A $30M global call for nonprofits using AI to transform public services.
Selected orgs can receive $1Mโ$3M+ and join the https://t.co/PrsSLfjpcA Accelerator. We canโt wait to see how you use Google Earth and Earth Engine to drive social good! ๐
Apply by April 3, 2026, at 11:59 PM PT โ https://t.co/3IHG2WjBMP
I sat down with Miriam and David from the Google Maps team to talk through and play around with the new Google Maps experience, it was awesome to see Gemini in action and learn from the Maps team!
Today @GoogleMaps is getting its biggest upgrade in over a decade. By combining our Gemini models with a deep understanding of the world, Maps now unlocks entirely new possibilities for how you navigate and explore. Hereโs what you need to know ๐งต
Prof. Donald Knuth opened his new paper with "Shock! Shock!"
Claude Opus 4.6 had just solved an open problem he'd been working on for weeks โ a graph decomposition conjecture from The Art of Computer Programming.
He named the paper "Claude's Cycles."
31 explorations. ~1 hour. Knuth read the output, wrote the formal proof, and closed with: "It seems I'll have to revise my opinions about generative AI one of these days."
The man who wrote the bible of computer science just said that. In a paper named after an AI.
Paper: https://t.co/juSOmK9vOt
Thanks for the shoutout, @JeffDean! ๐ Incredible work by the TimesFM team. But @ymatias isn't letting the team rest just yet... something very special cooking for Cloud Next '26. Stay tuned! ๐โ๏ธ
According to data from Rotten Tomatoes, the documentary has officially set the record for the largest disparity between critics and audiences in the site's history.
I am incredibly proud of my team for establishing how Hard-Braking Events (HBEs) serve as a high-density leading indicator for crash risk. By identifying these patterns early, agencies can intervene before accidents occur.
We just showcased this capability at the @NASEMTRB conference in D.C. as part of the "Google for Transportation" https://t.co/YPl3Ea5gMq program, and the reception was fantastic.
Read the full research below. ๐
Today we present new research establishing hard-braking events (HBEs) as a high-density "leading" indicator of road segment crash risk. This suggests HBEs could help identify high-risk road segments & inform specific infrastructure interventions. โ https://t.co/3avEESOv3p
#GoogleResearch #RoadSafety #MobilityAI