Oct. 15, 2026 – The National Science Foundation is offering its support for the next frontier of the AI Institute for ...

This course offers an introduction to mathematical nonlinear optimization with applications in data science. The theoretical foundation and the fundamental algorithms for nonlinear optimization are ...

Ed Ahearne combined automation , machine learning and Bayesian optimization to speed up method development for siRNA medicines. At ISC 2016, Edward Ahearne of AstraZeneca’s Pharmaceutical Sciences - ...

This article is excerpted from the course "Fundamental Machine Learning," part of the Machine Learning Specialist certification program from Arcitura Education. It is the final part of the 13-part ...

Neel Somani points out that while artificial intelligence may look like it runs on data and algorithms, its real engine is optimization. According to Somani, every breakthrough in the field—from ...

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, ...

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions work can require laborious experiments that track reactions through time.