For example, the Army has released a realistic computer-based game called America’s Army. Although young people like such games, the ADL is trying to measure the actual learning outcome—how well ...

In this article we explore how privacy-preserving distributed machine learning from federated databases might assist governance in health care. The article first outlines the basic parameters of the ...

Enabling Distributed Learning Communities Via Emerging Technologies - Part One 09/01/04 ##AUTHORSPLIT##<---> Emerging devices, tools, media and virtual environments offer opportunities for creating ...

DeepMind this week released Acme, an open source distributed framework for reinforcement learning algorithm development.

The paper “Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints,” authored by Xueyan Sun, Weiming Shen, Jiaxin ...

Distributed Learning (DL) is a modern, proven instructional model used by the Army to deliver individual, collective, and self-developmental training and education anytime, anywhere.

Unlike supervised learning, reinforcement learning algorithms must observe, and that can take time, said UC Berkeley professor Ion Stoica at Transform.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.