Powering AI | Google for Startups Accelerator
Launchpad Accelerator Engineer Bootcamp 2018 → http://bit.ly/2G1w5py
Sujith Ravi is a Senior Staff Research Scientist at Google. His main research interests span various problems and theory related to the fields of Machine Learning, Natural Language Processing (NLP), and Computer Vision. He won the SIGKDD 2014 Best Research Paper Award and a Best Paper Award nomination at ACL 2009. He is specifically interested in large-scale unsupervised and semi-supervised methods and their applications to structured prediction problems in NLP and vision, multi-modal learning for language/vision, on-device machine learning, information extraction, user modeling in social media, graph optimization algorithms for summarizing noisy data, computational decipherment and computational advertising. He is the founding member and technical lead of Google's large scale graph-based machine learning project which powers products in Search, Gmail, Photos, among others. He also leads on-device machine learning efforts that power ML applications on Android mobile and wearable devices.
He completed his PhD at the University of Southern California/Information Sciences Institute and was a Research Scientist at Yahoo! Research, Santa Clara before joining Google in Mountain View as a Research Scientist.
About Launchpad Accelerator:
Launchpad Accelerator is an acceleration program for the world’s top startups. Founders work closely with Google and Alphabet product teams and experts to solve specific technical challenges and optimize their businesses for growth with machine learning. Accelerator Startups are selected to be a part of the four month product acceleration program. Each startup is paired with a Google product manager to accelerate their product development, working alongside Google’s ML research and development teams. Learn more at → https://goo.gl/qFTrKD
About Accelerator’s Engineering Bootcamp:
Accelerator’s Engineering Bootcamp brings together each startup’s project team for a four-day event in San Francisco to learn best practices in experimenting, building, and implementing advanced tech within their startup. The teams are composed of Founders and VPs along with developers, data scientists, and product managers.
Watch more in this playlist → http://bit.ly/2G1w5py
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