They’re harnessing it to help directors prepare, debate, and decide. by Stanislav Shekshnia and Valery Yakubovich In 2014 Hong Kong–based Deep Knowledge Ventures formally appointed an algorithm to its ...

Abstract: To address the nonlinear, multimodal, and computationally intensive challenges inherent in the optimal design of metasurface absorbers for radio frequency (RF) energy harvesting, we propose ...

Background: The increasing prevalence of mental health issues among adolescents and young adults, coupled with barriers to accessing traditional therapy, has led to growing interest in artificial ...

Abstract: This paper investigates reinforcement learning (RL) as a practical framework for achieving optimal adaptive control across several simple dynamical system models. All experiments were ...