Genetic algorithms and the recombination problem Discussions around AI creativity often focus on neural networks, which ...

Combinatorial problems abound in domains such as scheduling, routing, resource allocation and logical inference. Owing to their typically NP-hard nature, no single algorithm uniformly outperforms all ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

Machine learning algorithms are used everywhere from a smartphone to a spacecraft. They tell you the weather forecast for tomorrow, translate from one language into another, and suggest what TV series ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic terms, ...