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

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 ...

More than two years ago, Danish psychiatrist Søren Dinesen Østergaard published a provocative editorial suggesting that the rise of conversational artificial intelligence could have severe mental ...

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 ...

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 ...

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

Abstract: This paper proposes an iterative methodology to integrate large-scale behavioral activitybased models with mesoscopic traffic assignment models. The proposed approach fully decouples the 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 ...