• Optimization solver developers: The technical experts who devise and implement the algorithms that are the motor that makes every mathematical optimization application run.

Mathematical optimization and machine learning are two tools that, at first glance, may seem to have a lot in common.

Mathematical optimization drives the analyses of multiple “what-if” scenarios, allowing the business to examine them in a virtual environment, then compare the potential outcomes of each before ...

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Enthusiasm for the potential impact of AI on hospital operations is often based on its impact in other industries. However, non-health care companies invest in AI after having digitized and ...

Mathematical perfection in optimization is only as justified as the OF calculation is complete and true. The user needs to choose the optimizer, and the application characteristics should drive the ...

Implementing mathematical algorithms in hardware becomes advantageous in AI systems. The DesignWare Foundation Cores gives designers a powerful tool to quickly meet their design’s unique requirements ...

Consequently, algorithms which can be effectively applied in such scenarios are scarce. We introduce and study three stochastic variance-reduced majorization-minimization (MM) algorithms, combining ...