In the paper "UCB-Type Learning Algorithms with Kaplan–Meier Estimator for Lost Sales Inventory Models with Lead Times," Lyu, Zhang, and Xin propose an upper confidence bound–type learning framework.

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

To address these challenges, Donti has developed a demand forecasting model in use by the U.K.’s national grid operator, and ...

The global shift toward digital banking has been dramatic, with the volume of cashless transactions increasing year over year. While this growth signals progress in financial technology, it has also ...

A research team at UCLA, led by Professor Aydogan Ozcan, has introduced BlurryScope, a compact, cost-effective scanning ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive ...

Although most scholars say learning math algorithms like regrouping in addition are essential, some worry that schools don't do enough to support the concepts undergirding these common procedures.