Scalable addressing of high-dimensional constrained combinatorial optimization problems is a challenge that arises in several science and engineering disciplines. Recent work introduced novel ...

Measurement tools will enable leaders to track the impact of the program and make data-driven decisions on the courses and consulting services that suit their institution best Fiserv University ...

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

RiverWare optimization can simultaneously solve over multiple reservoirs and multiple time periods with objectives such as maximizing hydropower value and balancing reservoir operations and impacts.

By far the most common technique for training a neural network is called the back-propagation algorithm. Two major alternative techniques are particle swarm optimization (PSO) and evolutionary ...

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 ...

Leveraging the latest omnichannel contact center technology solutions can dramatically improve performance and customer experience. However, technology is only part of the optimized performance ...