Researchers at Yazd University developed a binary version of the Puma Optimization Algorithm that achieved 91.53 percent ...

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions ...

In a sea of vendors who promise to optimize e-commerce and boost sales, wading through the advertisements to find the right match for the right process can be incredibly difficult. German-based ...

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 ...

Supply chains are experiencing a period of significant disruption and challenge that is unlikely to abate in the short term. Covid-19, the war in Ukraine, rising fuel prices and now a looming ...

The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...

Researchers at UPES Dehradun have combined CFD simulations with machine learning, including a physics-guided neural network, to rapidly optimize drone wing airfoils for flight in Mars's extremely ...

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and ...