Google DeepMind

Deep Research is now available in the Gemini mobile app for all Gemini Advanced users. 🌐 ✅ On Android and iOS ✅ In 150 countries ✅ In 45+ languages As a personal AI research assistant, it can generate comprehensive, easy-to-digest reports on almost any topic – right from your phone → https://lnkd.in/efBhmqv6

🚨 Google’s Health Report is out 🚨 Together with our partners, we are building a healthcare ecosystem that’s not only accessible but also equitable and resilient—ready to tackle the most pressing health challenges facing people around the world. These efforts include: • Enabling free eye screenings in India and Thailand • Advancing Tuberculosis detection in Zambia • Supporting maternal health in Sub-Saharan Africa And more. Our partnerships are driving real change on the ground and demonstrating how we can use tech to help the communities that need it most. To read the full report, go to the comments section ⬇️ #Health #AI #GoogleHealth #GoogleResearch #GoogleDeepmind

Ready to upgrade from Gemini 1.5? 🚀 Developers can start building with Gemini 2.0 Flash-Lite in Google AI Studio and Google Cloud's #VertexAI platform. 🛠️ It offers improved performance across reasoning, multimodal, math and factuality benchmarks, while also being a more cost-effective option for long context use cases → https://goo.gle/41gDFTn

We’re launching Gemini Code Assist for free globally to help developers build faster. 🤝  It comes with: 🛠️ 180,000 code completions per month 🌐 Support for all programming languages in the public domain  💡 A context window of 128,000 tokens to create more relevant responses Whether you’re a student building an interactive data visualization using JavaScript, or a freelancer testing ideas for an app or game, Gemini Code Assist can help you get your project done faster, with more expertise, at no cost. Get started → https://goo.gle/3F3Snpj

Finishing up my time in Paris for the AI Action Summit, and I had a few takeaways: First, I want to thank President Macron and Prime Minister Modi for convening this summit. It’s incredibly important the international community continues to come together and discuss the future of AI. We all have to be on the same page about the future we’re working to create. I’ve dedicated my life to building artificial intelligence because I’ve always believed it will be the most transformative and beneficial technology ever invented – particularly to accelerate scientific discovery. AlphaFold was powerful proof of this fact. But AI is a dual-purpose technology. As we work to reap its benefits, we have to address two central questions. The first is about risks from bad actors, or people who would use this technology for malicious ends. If we really want to unlock a golden era of progress, we have to enable good actors to continue to make advancements, while restricting access to would-be bad actors. The second question is how we ensure we stay ahead of novel risks that could arise as we approach AGI. This includes things like deceptive misalignment, which we discuss in our recent update to the Frontier Safety Framework. These concerns are not far-off or far-fetched, nor are they limited to one particular geography. They are global concerns that require focused, international cooperation. We still have work to do to find the best path towards the best future. There are many questions we’ve yet to answer about what we want society to look like post-AGI. I look forward to more collaboration on these urgent questions at the next AI Summit, and beyond.

Privacy-enhancing technologies (PETs) can provide organisations with enhanced security and confidentiality of data and code, but several challenges and barriers stand in the way of their adoption. One such barrier is a lack of trust: sceptical, privacy-aware individuals find it difficult to trust that PETs will effectively keep their sensitive data and code protected and safe. In this research, we set out to answer a set of research questions regarding trust in Google’s Project Oak. We aimed to analyse different transparency measures that PET providers can use to increase trust, and the extent to which they do so in practice. Find out more. #Privacy #Trust https://lnkd.in/dFuyxvWE

You can now use our state-of-the-art video generation model Veo 2 in YouTube Shorts. 🎥 With the Dream Screen feature, creators can: ✨ Generate standalone clips which fit seamlessly into your storytelling with a quick text prompt ✨ Make unique backgrounds for videos 💡 With a better understanding of real-world physics and movement, the model can help render specific styles or cinematic effects. 🔍 Any content generated using this tool is labelled with SynthID, which accurately identifies AI-generated images, audio, text and video. 🌐 These features are launching to everyone in the US, Canada, Australia, and New Zealand - with plans to expand in the future. Find out more → https://goo.gle/4jTa7nt

We're empowering future generations to use AI responsibly. Our new Experience AI resources - co-created with Raspberry Pi Foundation - are designed to help young people learn about AI and data privacy, navigate misinformation, and harness generative tools safely. 📚 Teachers, extracurricular clubs, and parents can use them with confidence - even without deep AI knowledge. → https://lnkd.in/eXGv2nAQ

Come and join us for our workshop, Natural Interactions with Foundation Models, at AMLD - Applied Machine Learning Days 2025 in Lausanne 🇨🇭! Together with my colleagues Diego Antognini, PhD, Leandro Kieliger, Philippe Schlattner, Vincent Coriou, and Anastasia Fadeeva from Google DeepMind, we are excited to show you how to use stroke interactions to interact with large language models. We hope to see many of you at AMLD - Applied Machine Learning Days - Applied Machine Learning Days, especially on Friday, February 14th, from 14:00 to 17:30! If you plan to attend, please fill out this form in advance: https://lnkd.in/eX2B3vS6. Learn more about AMLD: https://lnkd.in/egqVyeQ9

Today, we’re making Gemini 2.0 available to everyone - and expanding the model family. ✨ Say hello to: 🔵  An updated 2.0 Flash, which is optimized for high-volume, high-frequency tasks at scale - enabling developers to start building production applications. You can now use it via the Gemini API in Google AI Studio, Google Cloud’s #VertexAI platform and the Gemini app. 🔵  2.0 Pro Experimental: our best model yet for coding tasks and complex prompts. With a 2 million token context window, it’s able to analyze and understand large amounts of information. 🔵 2.0 Flash-Lite, our most cost-efficient AI model yet - now available across Google products. It has better quality than 1.5 Flash, at similar cost and speed, and comes with a 1 million token context window, multimodal input and text output. 🔵 And 2.0 Flash Thinking Experimental now available in the Gemini app. Find out more → https://goo.gle/3CMXg5p