ADELPHI, Md. -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that facilitate ...

Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...

This article is brought to the NCO Corps by the letter "e." Due to the current precautions in place for the COVID-19 pandemic, the Basic Leader Course, the Master Leader Course, and the Sergeants ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Lauren Glenn Manfuso is a journalist and editor in the Washington D.C. metro area. Her work has appeared in Prevention magazine online, the Miami Herald and USA Today. Amid talk of pandemics and ...

Machine learning happens a lot like erosion. Data is hurled at a mathematical model like grains of sand skittering across a rocky landscape. Some of those grains simply sail along with little or no ...

ADELPHI, Md. (Feb. 18, 2020) -- A new algorithm is enabling deep learning that is more collaborative and communication-efficient than traditional methods. Army researchers developed algorithms that ...