A Cloud Operating System for Machine Learning Applications
Over 90% of the data generated today is represented by photos, videos, audio and text, stored and handled in a very inefficient way. Through pivoting, Y Combinator alum startup Activeloop has come up with a new way of working with data that they call Data 2.0. The startup's ambition is to make machine learning faster and less costly through their solution, that also enables active learning at scale - a method of achieving superhuman accuracy in machine and deep learning models. Since its launch, the company's open-source framework has seen fast growth in adoption, and has been used by Waymo, Red Cross and World Resources Institute.
Take a listen to how Davit Buniatyan is building Activeloop.
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