We are living through a golden age of research and scientific discovery. For the scientists and researchers at Google Research, the opportunity extends beyond pioneering breakthroughs. The company is also building and sharing robust tools that empower the global ecosystem. AI acts as an amplifier of human ingenuity, creating the conditions for curiosity and rigorous inquiry to flourish. At its Research@ event in Mountain View, Google is demonstrating how it puts never-before-possible insights and capabilities into the hands of doctors, scientists, developers, public health officials, and others.
First, Google Earth AI enables planetary intelligence for organizations and society. Addressing global challenges requires accurate, real-world planetary intelligence. With Google Earth AI, it becomes possible to forecast public health threats, accelerate clean energy investments, and provide businesses with foresight. Google is expanding early access and inviting partners to explore new experimental capabilities, including deeper geospatial analysis in Google Earth and risk assessments through its planetary prediction engine. Developers gain programmatic access to satellite imagery parsing, routing and demographic embeddings. Google.org is also providing $10 million in funding to organizations working on crisis resilience and public health, including $2 million to The Milken Institute.
Second, multi-agent orchestration helps scientists build on existing knowledge. Existing literature offers a great source of knowledge for driving new discoveries. Google built a multi-agent orchestrator that lets scientists reproduce previous methods and apply them in new settings. As an example, researchers applied a fluid mechanics methodology to the design of urinary catheters, discovering designs that, in simulation, were better at preventing bacterial infections. Co-Scientist, built with Google DeepMind, can generate novel hypotheses and has helped researchers at Stanford University uncover repurposed medicines to fight liver fibrosis.
Third, Deep Review helps authors improve the clarity and accuracy of technical documents. Thorough peer review is a core part of the scientific method. Deep Review is an agentic system that provides rigorous verification across complex documents, which matters as AI is increasingly used to help experts draft technical work. Many Google researchers and external authors have already used an early version.
Source: Google AI Blog · Summarized by HeadlinesBriefing