EXCLUSIVE — Treasury Secretary Scott Bessent said skyrocketing electricity costs are a “binding constraint” of growing America’s artificial intelligence sector but suggested several ways the Trump ...

1 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia 2 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia Humanitarian aid ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min The J.D. Power survey ranks ...

Quadratically constrained quadratic programming (QCQP) problems appear in a wide range of engineering fields, including computer science, communication engineering, and finance. A key difficulty in ...

In this paper, a systematic and quantitative view is presented for the application of the theory of constraints in manufacturing. This is done employing the operational research technique of ...

As the artificial intelligence (AI) boom drives exponential demand for data centers, the United States’ position as an AI leader is at risk without immediate action to address growth constraints. The ...

Logical reasoning remains a crucial area where AI systems struggle despite advances in processing language and knowledge. Understanding logical reasoning in AI is essential for improving automated ...

Constraint satisfaction problems (CSPs) are a class of problems that are ubiquitous in science and engineering. They feature a collection of constraints specified over subsets of variables. A CSP can ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...