Mathematical optimization offers today’s businesses a fundamentally different approach to worst-case scenario prepping. Rather than relying on gut instinct and static data, optimization leverages ...

Instead of manually placing every switch, buffer, and timing pipeline stage, engineers can now use automation algorithms to ...

Researchers introduce a group-driven initialization that fuses search history with graph modularity, boosting ...

In the era of global energy transition, battery inverters have evolved from simple power conversion devices into core hubs that link renewable energy generation, energy storage systems (ESS), and ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

Introduction: Traditional operation and maintenance decision algorithms often ignore the analysis of data source security, making them highly susceptible to noise, time-consuming in execution, and ...

A new class-action lawsuit against Optimal Blue mirrors the RealPage and real estate commission lawsuits, alleging lenders used the firm’s pricing software to coordinate mortgage rates through shared ...

With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors influencing ...

Abstract: In this article, we propose a novel online learning algorithm based on weighted policy iteration (WPI) for addressing optimal control problems of nonlinear ...

We study the contextual dueling bandit problem, where a learner uses contextual information to make two decisions and receives only relative (comparison) feedback. This problem is crucial in ...

Forbes contributors publish independent expert analyses and insights. Jodie Cook covers AI, marketing & LinkedIn for coaches & entrepreneurs To master LinkedIn's evolving algorithm, be intentional.