In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...

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, ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

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 ...

RNA design is central to next-generation therapeutics, yet identifying sequences that reliably fold into desired structures ...

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 ...