D-Wave introduces a new hybrid quantum solver at Qubits 2024 to tackle customers’ previously intractable workforce, manufacturing, and logistics optimization problems. The solver is…
Browsing: Optimization
This article discusses the deep integration of optimization and machine learning and how it has become a popular topic in the last decade. The…
This article discusses the use of machine learning for the optimization of polymer-immobilized catalysts, specifically for Suzuki-Miyaura coupling reactions. The study utilizes a Bayesian…
This article discusses the similarities between Stochastic Gradient Descent (SGD) and Metropolis Monte Carlo dynamics, two commonly used algorithms in Machine Learning. The authors…
This article discusses the growing field of machine learning and its various subfields, including supervised, unsupervised, and semi-supervised learning. It also highlights the importance…