Multifidelity optimization can inform decision-making during process development and reduce the number of experiments performed.

Research and investment in artificial intelligence (AI) have rapidly expanded over the past decade. The International Data Corporation predicts that global spending on cognitive and AI systems will ...

The functions listed below are some of the common functions and datasets used for testing optimization algorithms. They are grouped according to similarities in their significant physical properties ...

Profile-guided optimization, introduced as a preview in Go 1.20 in February, graduates from preview status in the new version. PGO enables the compiler toolchain to do workload-specific and ...