Researchers at the University of Tokyo developed CYAN, a machine-learning method that extracts reaction rate constants from routine yield-optimization data, revealing a counterintuitive nickel ...

Researchers in India have developed an optimized machine learning framework combining preprocessing, feature selection and ...

Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and ...

Machine learning models, also called artificial intelligence models, have made astonishing leaps in complexity in recent years and are entering the public realm en masse. Highly visible examples are ...

Stochastic gradient descent and Adam are optimization algorithms that update model parameters from estimated gradients, but ...

Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...

Machine Learning is an important area of research and practice influencing many diverse application domains and industries. Students may add this concentration to any degree within the College of ...