No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Abstract: In pursuit of reinforcement learning systems that could train in physical environments, we investigate multi-task approaches as a means to alleviate the need for massive data acquisition. In ...

Abstract: This paper examines the design and evaluation of reinforcement learning (RL) reward functions for permanent magnet synchronous motor (PMSM) control in electric drive applications. Various ...

What happens when the strategies that propelled an entire field to unprecedented heights begin to falter? For artificial intelligence, this is no longer a hypothetical question. After years of ...

Whether it was “Crouching Tiger, Hidden Dragon” landing a best picture nomination, “Parasite” being the first non-English language film winning the Academy Award for best picture, or the general ...