Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

Attorney Bill Meyer joins producer/host Coralie Chun Matayoshi to discuss how the medical field lends itself to the use of AI ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

In order to increase the dependability of quantum calculations, study explores the use of Shor’s algorithm in a noisy quantum ...

Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...

The recent paper studies algorithmic pricing through the lens of game theory, an interdisciplinary field at the border of ...

Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel ...

Abstract: Motivated by multi-agent Q-learning scenarios, this paper introduces a distributed action selection algorithm that relies on individual agents interacting with local neighbors to learn a ...