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Quantum computers have the potential to revolutionize drug discovery, material design and fundamental physics — that is, if we can get them to work reliably.Certain problems, which would take a conventional computer billions of years to solve, would take a quantum computer just hours. However, these new processors are more prone to noise than conventional ones. If we want to make quantum computers more reliable, especially at scale, we need to accurately identify and correct these errors.In a paper published today in Nature, we introduce AlphaQubit, an AI-based decoder that identifies quantum computing errors with state-of-the-art accuracy. This collaborative work…

Making Gemini available to the worldGemini 1.0 is now rolling out across a range of products and platforms:Gemini Pro in Google productsWe’re bringing Gemini to billions of people through Google products.Starting today, Bard will use a fine-tuned version of Gemini Pro for more advanced reasoning, planning, understanding and more. This is the biggest upgrade to Bard since it launched. It will be available in English in more than 170 countries and territories, and we plan to expand to different modalities and support new languages and locations in the near future.We’re also bringing Gemini to Pixel. Pixel 8 Pro is the…

For years, we’ve been investing deeply in AI as the single best way to improve Search and all of our products. We’re excited by the progress, for example with our Search Generative Experience, or SGE, which you can try in Search Labs. AI is also now central to two businesses that have grown rapidly in recent years: our Cloud and Workspace services and our popular subscription service Google One, which is just about to cross 100 million subscribers.A new state of the artIn December, we took a significant step on our journey to make AI more helpful for everyone with…

Introducing Gemini 1.5By Demis Hassabis, CEO of Google DeepMind, on behalf of the Gemini teamThis is an exciting time for AI. New advances in the field have the potential to make AI more helpful for billions of people over the coming years. Since introducing Gemini 1.0, we’ve been testing, refining and enhancing its capabilities.Today, we’re announcing our next-generation model: Gemini 1.5.Gemini 1.5 delivers dramatically enhanced performance. It represents a step change in our approach, building upon research and engineering innovations across nearly every part of our foundation model development and infrastructure. This includes making Gemini 1.5 more efficient to train…

Responsible by designGemma is designed with our AI Principles at the forefront. As part of making Gemma pre-trained models safe and reliable, we used automated techniques to filter out certain personal information and other sensitive data from training sets. Additionally, we used extensive fine-tuning and reinforcement learning from human feedback (RLHF) to align our instruction-tuned models with responsible behaviors. To understand and reduce the risk profile for Gemma models, we conducted robust evaluations including manual red-teaming, automated adversarial testing, and assessments of model capabilities for dangerous activities. These evaluations are outlined in our Model Card.We’re also releasing a new Responsible…

Inside every plant, animal and human cell are billions of molecular machines. They’re made up of proteins, DNA and other molecules, but no single piece works on its own. Only by seeing how they interact together, across millions of types of combinations, can we start to truly understand life’s processes.In a paper published in Nature, we introduce AlphaFold 3, a revolutionary model that can predict the structure and interactions of all life’s molecules with unprecedented accuracy. For the interactions of proteins with other molecule types we see at least a 50% improvement compared with existing prediction methods, and for some…

Responsible from design to deploymentWe’re mindful about not only advancing the state of the art, but doing so responsibly. So we’re taking measures to address the challenges raised by generative technologies and helping enable people and organizations to responsibly work with AI-generated content.For each of these technologies, we’ve been working with the creative community and other external stakeholders, gathering insights and listening to feedback to help us improve and deploy our technologies in safe and responsible ways.We’ve been conducting safety tests, applying filters, setting guardrails, and putting our safety teams at the center of development. Our teams are also pioneering…

1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more. This is because it’s been trained by 1.5 Pro through a process called “distillation,” where the most essential knowledge and skills from a larger model are transferred to a smaller, more efficient model.Read more about 1.5 Flash in our updated Gemini 1.5 technical report, on the Gemini technology page, and learn about 1.5 Flash’s availability and pricing.Significantly improving 1.5 ProOver the last few months, we’ve significantly improved 1.5 Pro, our best model for general performance across a wide range of…