In the past decade, AI's success has led to uncurbed enthusiasm and bold claims—even though users frequently experience errors that AI makes. An AI-powered digital assistant can misunderstand ...

PHILADELPHIA – Eagles head coach Nick Sirianni and offensive coordinator Kevin Patullo are in lockstep when it comes to the idea that Philadelphia’s embattled offense is predictable, pointing the ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Proteogenomics explores how genetic information translates into protein expression and function, and the role of changes across DNA, RNA, and proteins in influencing disease development and ...

Abstract: The genetic algorithm is one of the most commonly used metaheuristics due to its adaptability to various types of problems. However, its implementation can be challenging because of the ...

Right now, quantum computers are small and error-prone compared to where they’ll likely be in a few years. Even within those limitations, however, there have been regular claims that the hardware can ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

Institute of Logistics Science and Engineering of Shanghai Maritime University, Pudong, China Introduction: This study addresses the joint scheduling optimization of continuous berths and quay cranes ...

Abstract: The Orienteering Problem (OP) is a well-known route optimization problem with various real-world applications. It aims at finding the most valuable path by visiting a set of nodes within a ...

This paper deals with the two-dimensional strip packing problem (2D-SPP) with the order/or multi-drop and vertical stability constraints. The existing exact algorithm that solves this problem is not ...