Machine Translation is an excellent example of how cutting-edge research and world-class infrastructure come together at Google. We focus our research efforts on developing statistical translation techniques that improve with more data and...
Our Education Innovation research area includes publications on online learning at scale, educational technology (which is any technology that supports teaching and learning), curriculum and programming tools for computer science...
Google is at the forefront of innovation in Machine Intelligence, with active research exploring virtually all aspects of machine learning, including deep learning and more classical algorithms. Exploring theory as well as application, much of our work on language, speech, translation, visual...
Google’s mission presents many exciting algorithmic and optimization challenges across different product areas including Search, Ads, Social, and Google Infrastructure. These include optimizing internal systems such as scheduling the machines that power the numerous computations done each day, as...
Learn more about how Google can help the next generation of student researchers by providing research scholarships, fellowships and internships.
No matter how powerful individual computers become, there are still reasons to harness the power of multiple computational units, often spread across large geographic areas. Sometimes this is motivated by the need to collect data from widely dispersed locations (e.g., web pages from servers, or...
We introduce AI co-scientist, a multi-agent AI system built with Gemini 2.0 as a virtual scientific collaborator to help scientists generate novel hypotheses and research proposals, and to accelerate the clock speed of scientific and biomedical discoveries. In the pursuit of scientific advances...
An introduction to Med-Gemini, a family of Gemini models fine-tuned for multimodal medical domain applications. For AI models to perform well on diverse medical tasks and to meaningfully assist in clinician, researcher and patient workflows (like generating radiology reports or summarizing health...
Monarch is a globally-distributed in-memory time series database system in Google. Monarch runs as a multi-tenant service and is used mostly to monitor the availability, correctness, performance, load, and other aspects of billion-user-scale applications and systems at Google. Every second, the...
In collaboration with the Institute of Science and Technology Austria (ISTA), we published in Nature the first-ever method for using light microscopy to comprehensively map all the neurons and their connections in a block of brain tissue....
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