mit breakthrough
MIT breakthrough in deep learning could help reduce errors
MIT researchers claim that deep learning neural networks need better uncertainty analysis to reduce errors. "Deep evidential regression" reduces uncertainty after only one pass on a network, greatly reducing time and memory. This could help mitigate problems in medical diagnoses, autonomous driving, and much more.