Gongguo Tang; Department of Electrical, Computer, and Energy Engineering; University of Colorado BoulderGeometry and algorithm for some nonconvex optimizationsGreat progress has been made in the past ...

Great progress has been made in the past few years in our understanding of nonconvex optimizations. In this talk, I will share with you three of our works in this direction. In one, we study low-rank ...

Overview: Machine learning systems analyze massive datasets to identify patterns and automate complex digital decision-making ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...

The International Conference in Optimization and Learning (OLA2024), organized by RIT (Croatia) and the University of Lille (France), focuses on the future challenges of optimization and learning ...

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...

Today, businesses face immense pressure to innovate. The rapid evolution of artificial intelligence and data analytics ...

A Pressure Point Framework for warehouse operations argues that most supply chain disruptions stem from four root causes—space pressure, flow pressure,… Four pressure points: A diagnostic framework ...

Implementing machine learning tools in wastewater treatment plants offers measurable benefits such as chemical cost ...