New Deep Learning System Allows AI To Solve 'Catastrophic Forgetting' Problem

Reading the news you'd imagine Artificial Intelligence technologies as almighty and unstoppable: after all, they beat human players in ancient Chinese board games, make self-driving cars smarter, under one form or another could soon replace bankers, lawyers and who knows what next. One of the current constraints of artificial intelligence is called "catastrophic forgetting", and researchers have been struggling with it for a while. In other words, to add a single object or a single task, while keeping the same overall amount of information, a neural network would have to be retrained on all of the objects, which is usually done using powerful servers located in the cloud. According to sources from the company, Neurala's breakthrough solves the "catastrophic forgetting" problem for deep learning neural networks instantly at the computing device, without the need of being connected to a server.