Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

On the other hand, organizations that train managers to lead AI as part of their teams gain a critical edge. They make better ...

Distributed Machine Learning (DML) systems are utilized to enhance the speed of model training in data centers (DCs) and edge nodes. The Parameter Server (PS) communication architecture is commonly ...

Ever-increasing size and complexity of data sets create challenges and potential tradeoffs of accuracy and speed in learning algorithms. This paper offers progress on both fronts. It presents a ...