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, ...

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 ...

Bullen’s Autonomous Process Optimization initiative with Phenx uses machine learning and digital twin modeling to improve ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Mashable’s series Algorithms explores the mysterious lines of code that increasingly control our lives — and our futures. “The Algorithm” is impenetrable. It’s mysterious, it’s all-knowing, it’s ...

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, ...