SpaceKnow: Using deep learning to monitor Earth from space

Mar 25, 2018

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In this talk we’ll explore how we combine machine learning algorithms and computer vision techniques with the latest cloud technologies for semantic segmentation, object detection and classification on multi-spectral multi-resolution satellite images. We’re developing a proprietary, scalable platform and frameworks enabling reproducible multi-GPU training and massively parallelized prediction, aiming to deliver global geospatial intelligence. Our production system is a single-point access to the world’s largest satellite providers, including DigitalGlobe, Airbus, Planet, and Urthecast, offering real-time, on-demand analytics through APIs and an web application.

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About Machine Learning Prague

Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every day. They are already changing your world, your business and your life. Artificial intelligence revolution is here. Come and learn how to turn this threat into your biggest opportunity. This is not another academic conference. Our goal is to foster discussion between machine learning practitioners and all people who are interested in applications of modern trends in artificial intelligence. You can look forward to inspiring people, algorithms, data, applications, workshops and a lot of fun during three days as well as at two great parties.

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