Modern networks have outgrown reactive planning. With 5G and rising traffic, manual analysis and legacy models can’t keep up ...

Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

On today’s episode of “The Interview” with The Next Platform we talk about the growing problem of networks within networks (within networks) and what that means for future algorithms and systems that ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Optimization seeks to find the best. It could be to design a process that minimizes capital or maximizes material conversion, to choose operating conditions that maximize throughput or minimize waste, ...

The travelling salesman problem was mathematically formulated in 1800s by Mathematicians W.R. Hamilton and Thomas Kirkman. Considered as a classic algorithmic problem in the field of operations ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

Thermal systems play a critical role in energy production, manufacturing, and building technologies. However, traditional approaches to thermal system ...