We’re publishing a new white paper outlining how we’ve made Gemini 2.5 our most secure model family to date. Imagine asking your AI agent to summarize your latest emails — a seemingly straightforward task. Gemini and other large language models (LLMs) are consistently improving at performing such tasks, by accessing information like our documents, calendars,

Following the exciting launches of Gemma 3 and Gemma 3 QAT, our family of state-of-the-art open models capable of running on a single cloud or desktop accelerator, we’re pushing our vision for accessible AI even further. Gemma 3 delivered powerful capabilities for developers, and we’re now extending that vision to highly capable, real-time AI operating

New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators

Retrieval augmented generation (RAG) enhances large language models (LLMs) by providing them with relevant external context. For example, when using a RAG system for a question-answer (QA) task, the LLM receives a context that may be a combination of information from multiple sources, such as public webpages, private document corpora, or knowledge graphs. Ideally, the

We all leave traces behind: emails, text messages, photos, voice notes. But what if you could go one step further? What if your loved ones could still talk to you after you’re gone? Thanks to advances in artificial intelligence, digital immortality is no longer the stuff of science fiction. It’s becoming technically possible to create custom AIs

Differential privacy (DP) is a mathematically rigorous and widely studied privacy framework that ensures the output of a randomized algorithm remains statistically indistinguishable even if the data of a single user changes. This framework has been extensively studied in both theory and practice, with many applications in analytics and machine learning (e.g., 1, 2, 3,

Third generation: Generalizing with Veo Our latest breakthrough builds on Veo, Google’s state-of-the-art video generation. A key strength of Veo is its ability to generate videos that capture complex interactions between light, material, texture, and geometry. Its powerful diffusion-based architecture and its ability to be finetuned on a variety of multi-modal tasks enable it to