There is an ongoing and dedicated effort to estimate bounds on the generalization error of deep learning models, coupled with an increasing interest with practical ...

Neuromorphic computing is one of the few current approaches that have the potential to substantially reduce power consumption in machine learning and artificial intelligence, and has drawn vast ...