Abstract: In this study, a novel deep reinforcement learning (DRL) algorithm is proposed to deal with the weapon target assignment (WTA) problem, which takes the unmanned aerial vehicle (UAV) safety ...

Abstract: The Quadratic Assignment Problem (QAP) is a combinatorial optimization problem that seeks a one-to-one assignment of facilities to locations to minimize total logistics cost, given flows ...

Artificial reinforcement learning is just one lens to evaluate organizations. However, this thought experiment taught me that ...

Last fall, USU’s newest Writing Fellows compared AI-generated literary arguments against human-composed versions. Analyzing ...

You finally have something real: a prototype, a name, maybe your first customers. And then it hits you. What if someone copies this? What if a contractor walks away with the code? What if an investor ...

Southwest Airlines has officially entered a new era as of January 27, 2026 - the start of assigned seating. After decades of ...

Just because an AI tool can process data quickly does not mean that the output has yielded the correct result for a particular context or situation.

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Mathematica needs you! Add, subtract, divide and multiply your way to victory. Meet the Karate Cats and practice spelling, grammar and punctuation as you chop, kick and smash the challenges. Join ...