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Recurrent Dynamics' New Skatr Training Platform to Empower Small Teams to Leapfrog AI GiantsRecurrent Dynamics, a Toronto based AI start-up announced today the implementation of world's first platform based on scatter training, a faster way to develop AI services at no upfront data collection and training costs. The Skatr training platform utilizes a newly developed scatter training method. According to Recurrent Dynamics CEO and founder Max Trokhimtchouk "cloud training or federated learning utilizes batch training process, in contrast, scatter training is a continuous process on devices at the edge, which allows for faster model prototyping." "5 weeks ago, we announced a computational breakthrough that enabled AI to be trained on small cheap devices such as cell phones and tablets, rather than expensive cloud infrastructure. Today we have moved this technology from theory to practice by implementing a fully functional working prototype on distributed Raspberry Pi devices, each training AI continuously and sharing their learning," stated Mr. Trokhimtchouk. The Skatr platform's advantage of faster model prototyping with no upfront data collection and training cost, enables small teams to be more efficient than current leaders utilizing cloud based training infrastructure. As a result, the number of A applications and services utilizing the Skatr platform will explode. This will put competitive pressure on existing cloud infrastructure providers and VC funded AI start-ups utilizing cloud training.
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Mr. Trokhimtchouk, who has 12 years experience in machine learning, and a PhD in mathematics from Berkeley stated, "It is with great excitement that we make this announcement today. Skatr is a new peer-to-peer continuous training platform that will reshape the AI landscape." About Recurrent Dynamics Recurrent Dynamics is a Toronto, Canada based AI startup. Our mission is to advance the capabilities of Artificial Intelligence. Go to www.RecurrentDynamics.com to learn more and register to receive updates. View source version on businesswire.com: https://www.businesswire.com/news/home/20191001005111/en/ |