The proposal that evolution could be used as a metaphor for problem solving came with the invention of the computer 1. In the 1970s and 1980s the principal idea was developed into different ...

With all the excitement over neural networks and deep-learning techniques, it’s easy to imagine that the world of computer science consists of little else. Neural networks, after all, have begun to ...

Dr. James McCaffrey of Microsoft Research explains stochastic gradient descent (SGD) neural network training, specifically implementing a bio-inspired optimization technique called differential ...

Nicholas K. Logan, CEH is a graduating senior in the information assurance program of the School of Business and Management at Norwich University. As one of his essays in the IS342 Management of ...

Dr. James McCaffrey of Microsoft Research says that when quantum computing becomes generally available, evolutionary algorithms for training huge neural networks could become a very important and ...

At the intersection of neuroscience and artificial intelligence (AI) is an alternative approach to deep learning. Evolutionary algorithms (EA) are a subset of evolutionary computation—algorithms that ...