Google DeepMind

Things to keep in mind: ✅ Base your creations around the numbers 1-10 ✅ Use Canvas in @GeminiApp or @GoogleAIStudio Submit by May 6 → goo.gle/4eNsr15

Think your vibe coding and creativity could be on the #GoogleIO main stage? Show us. As we countdown to the start of the show, the best ideas built with @GeminiApp or @GoogleAIStudio will be featured – think protein simulators, physics engines, or math-based art. 🔢

One of @GoogleDeepMind's key aims is to unlock scientific progress on problems important for society. Generating clean energy is one of the biggest challenges of our time, and technologies like nuclear fusion could be the answer. While we continue to conduct our own research on this problem, our team has also been talking to experts across the field to understand the main AI opportunities and data obstacles, and to share recommendations to unlock faster progress. This kind of ‘AI Data Stocktake’ exercise can serve as a blueprint that policymakers, science funders, and industry can apply to many other scientific domains. Read more at: deepmind.google/public-policy/…

We’re advancing this research with academics and institutions globally, and will gradually expand our clinician-facing trusted tester program to additional sites - to understand more perspectives of health workers and patients worldwide. Find out more → goo.gle/42DxzNZ

To keep patient safety at the forefront, the system also runs on a dual agent architecture. A built-in "Planner" continuously monitors the conversation verifying that the "Talker" agent stays within safe clinical boundaries.

AI co-clinician is our new research initiative to help explore how multimodal agents could better support healthcare workers and patients. 🩺 Here’s a snapshot of our progress 🧵

As AI continues to evolve, our commitment to education remains. The program is expanding into Latin America this year, with the aim of training 24,000 educators and reaching 1.25 million students by 2028, thanks to funding of $4.6 million from @Googleorg. Find out more → goo.gle/3OMPhLS

✏️ 93% of educators say the training increased their knowledge of AI concepts ✏️ 87% feel more confident teaching these complex topics ✏️ 30,000+ teachers have been trained ✏️ 2.9m students in 180 countries have been reached in 19 languages

As AI evolves, education must keep pace. 🍎 Since 2023, the Experience AI program – developed in collaboration with @RaspberryPi_org – has offered free resources to help students and teachers understand AI and how it works. See the impact ⬇️

A decade ago in Korea, AlphaGo showed AI’s potential. Together with the Korean government, we’re now looking at how this technology can help accelerate scientific discovery and create new opportunities for economic growth across the region. 🇰🇷 Find out more → goo.gle/4wbqUbJ

For @DemisHassabis, the path to AGI started in 1988 with an Amiga 500 and a game of Othello. 🕹️ His epiphany that software could act on our behalf remains at the heart of our work today as we apply the same logic to solving scientific grand challenges. Read more on @FastCompany → goo.gle/4vL7REH

Gemini Embedding 2 is now generally available in the Gemini API and Vertex AI! Start building with our first natively multimodal embedding model, now equipped with the stability and optimizations required for production apps.

As we push the frontiers of AI infrastructure, our research explores a future where training isn’t constrained by geography, capacity or type of chip. Dive into the technical details → goo.gle/4crN9Ce

This progress allow us to rethink global compute: 🔘 We successfully trained a 12B @GoogleGemma model across four US regions using low-bandwidth networks 🔘 We showed we can mix different hardware generations, such as TPU6e and TPUv5p, without slowing down performance during training

This is Decoupled DiLoCo: our new resilient and flexible way to train advanced AI models across multiple data centres. 🧵