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 ...

Computer scientists, using a divide-and-conquer approach that leverages the power of compressed sensing, have shown they can train the equivalent of a 100 billion-parameter distributed deep learning ...

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 ...

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 ...

The massive expansion of online education across the United States in response to COVID-19 is teaching us many lessons about the value of distributed learning, but equally important, it is reminding ...

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 ...

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 ...