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2017 GTC San Jose

S7841 - Forget Catastrophic Forgetting: AI That Learns After Deployment

Session Speakers
Session Description

One of the major hassles of Deep Learning is the need to fully retrain the network on server every time new data becomes available in order to preserve the previous knowledge. This is called 'catastrophic forgetting' and severely impairs the ability to develop a truly autonomous AI. We present the patent pending technology that allows us to solve this problem by simply training on the fly the new object without retraining of the old. Our results not only show state of the art accuracy, but real time performance suitable for deployment of AI directly on the edge, thus moving AI out of the server room and into the hands of consumers. Imagine a toy that can learn to recognize and react to its owner or a drone that can learn and detect objects of interest identified while in flight.


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Talk
AI Startup Deep Learning and AI Intelligent Video Analytics
General
25 minutes
Session Schedule