At Google Research, we’re driven by exploring the art of the possible. Our research impacts products, businesses, scientific discovery, and society. Today, the opportunity to help solve seemingly impossible problems with breakthrough research is greater than ever, as is the opportunity to translate this research into real-world impact. I’m excited to share how we’re advancing […]
We’re introducing an efficient, on-device robotics model with general-purpose dexterity and fast task adaptation.
Today we are excited to share updates across the board to our Gemini 2.5 model family: Gemini 2.5 Pro is generally available and stable (no changes from the 06-05 preview) Gemini 2.5 Flash is generally available and stable (no changes from the 05-20 preview, see pricing updates below) Gemini 2.5 Flash-Lite is now available in
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We partnered with Darren Aronofsky, Eliza McNitt and a team of more than 200 people to make a film using Veo and live-action filmmaking.
Research Published 12 June 2025 Authors Weather Lab team We’re launching Weather Lab, featuring our experimental cyclone predictions, and we’re partnering with the U.S. National Hurricane Center to support their forecasts and warnings this cyclone season. Tropical cyclones are extremely dangerous, endangering lives and devastating communities in their wake. And in the past 50 years,
Businesses today depend heavily on Artificial Intelligence (AI) to run important tasks like handling customer questions, spotting financial risks, managing supply chains, and supporting medical decisions. While AI helps improve speed and accuracy, it also brings risks that old insurance policies do not cover. AI can make wrong choices, give false information, or fail because
AI is reshaping the workforce at a breakneck speed, yet training efforts aren’t meeting the moment. Despite a quarter of executives feeling bullish on the technology, only 12% of workers have received AI-related training in the past year. This lack of preparation not only hinders the successful and safe adoption of AI, but also creates
It sounds right. It looks right. It’s wrong. That’s your AI on hallucination. The issue isn’t just that today’s generative AI models hallucinate. It’s that we feel if we build enough guardrails, fine-tune it, RAG it, and tame it somehow, then we will be able to adopt it at Enterprise scale. Study Domain Hallucination Rate
That may be tough to see right now. Since the launch of OpenAI’s ChatGPT in late 2022, and a whole host of other AI-powered chatbots and virtual assistants, the focus has revolved around how these tools could take over the jobs of journalists and other content creators. The media industry, already struggling, feels rightfully attacked.
