At Google, research in machine perception tackles the hard problems of understanding images, sounds, music and video. This research allows us to better serve our users by enabling a variety of applications such as content-based search in Google Photos and Image Search, natural handwriting interfaces for Android, optical character recognition for Google Drive documents, and recommendation systems that understand music and YouTube videos. Our approach is driven by developing cutting-edge algorithms that benefit from processing very large, partially-labeled datasets using state-of-the-art hardware, leveraging the ability to mine meaningful information from multimedia. Google is actively pursuing the next generation of intelligent systems that utilize the latest machine learning techniques.
To learn more about the research we’re presenting at CVPR 2020, including accepted papers, workshops, and tutorials please visit our Google at CVPR 2020 website.
To watch Googlers perform product demos from all over the world, please visit our website.
Diversity and Inclusion at Google
Our goal is to build a more diverse, inclusive, and accessible company that better represents our users. Learn more about our progress on our website.
Careers at Google
Interested in learning more about career opportunities at Google? Where and how we hire? Tips on how to build your resume for Google? Curious on how to prepare for a Google interview? You can find the answers to all of those questions and more at our website.