New @Nature publication from @GoogleResearch & @GoogleDeepMind: In this study, we advance AMIE, our research medical AI, from one-off diagnostic conversations toward treating & managing disease over time, using clinical guidelines & drug formularies. More:

Our long term goal for @GoogleAIStudio is to eliminate the friction to build with AI, then do the same for your own business, and ultimately unlock economic opportunity for everyone. Feels like early innings but I keep getting more excited about this.

Today we are rolling out pretty URL’s for deployed apps in @GoogleAIStudio, each app can get a “ for free! Free apps, free deploys, and now free pretty URLs!

Here’s this week’s shipping recap 👇 — Nano Banana 2 & Nano Banana Pro are now GA and available via the Gemini Enterprise Agent Platform, Gemini API, and in @GoogleAIStudio —Co-Scientist, our new multi-agent system for structured scientific thinking, generates and refines novel hypotheses to solve complex scientific problems — dreambeans from @GoogleLabs works overnight to curate a personalized daily collection of topics that are relevant to you based on your connected Google apps — @GoogleGemma 4 12B, our unified encoder-free model, brings powerful multimodal intelligence straight to your laptop fully offline — Gemma 4 models and their drafters are now optimized with Quantization-Aware Training (QAT) to cut memory requirements and maximize on-device performance — @GoogleMagenta RealTime 2 is our open-weights live music model that you can play like an instrument using a MIDI keyboard, text prompts, and gestures

At #GoogleIO#, we announced Gemini for Science, a collection of new experimental tools developed by @GoogleResearch, @GoogleLabs, @GoogleDeepMind & @GoogleCloud. Learn more about how we’re supercharging scientific research:

How can we help scientists get better data out of their instruments? Using @GoogleDeepMind AlphaEvolve, @GoogleResearch identified new ways to train DeepConsensus, improving DNA sequencing accuracy and output on PacBio instruments. Read more:

Attending the Women in Machine Learning (WiML) Social at #ICLR2026#? Stop by 203C from 12PM - 3PM to connect with the community and the Google Research team! #WiML# #GoogleResearch#

Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/sec with improved coding and overall quality Start building with these today via the Gemini API in @GoogleAIStudio or try them out in the @GeminiApp