The DoD is looking to progress its Advanced Distributed Learning (ADL) military training initiative with a 23 July contract announcement for Lockwood Hills Federal.. Under a contract worth up to $72.7 ...

The Air Force Research Laboratory (AFRL) Space Vehicles Directorate’s Simulation & Technology Assessment Branch has awarded a three-year prototype contract to CAE USA to support testing, training, ...

We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook ...

FORT GORDON, Ga.--(April 23, 2009) The Signal Center and LandWarNet eUniversity were selected by an Army Training Support Center panel to receive the TRADOC distributed Learning Champion Award for ...

Distributed learning (dL) is an instructional model used by the Army to deliver individual, collective, and self-development training and education to Soldiers, leaders and Army civilians anytime ...

In addition to distributed support, the 0.8 release comes with a distributed trainer for Google’s Inception neural network, along with code for defining how distributed models should work.

The Advanced Distributed Learning (ADL) Initiative is a Defense Department-wide strategy to modernize education and training by developing standardized e-learning techniques. Launched by the ...

“Blue Waters currently supports TensorFlow 1.3, PyTorch 0.3.0 and we hope to support CNTK and Horovod in the near future. This tutorial will go over the minimum ingredients needed to do distributed ...