Wednesday, November 13, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, has received funding from the Strategic Capabilities Office of the Under Secretary of Defense to develop a Secure Private Neural Network (SPNN) that hardens deep neural networks against adversary attacks. The US Government increasingly relies on deep neural networks for critical machine learning tasks—the OSD Strategic Capabilities Office is concerned with both black box and white box attacks on a deep neural network.
Tuesday, October 29, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, has received funding from the Defense Advanced Research Projects Agency (DARPA) as part of the Learning with Less Labels program. This program is focused on making machine-learning models more efficient and reducing the amount of labeled data required to build models.
Monday, October 28, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, is working alongside The DiSTI Corporation, the world’s leading provider of virtual maintenance training solutions, to develop our Evaluation-Driven Active Guide for Learning Procedural Events (EAGLE). EAGLE is our just-in-time intelligent virtual trainer that helps US Air Force satellite communications students learn and remember complex procedures on the Hawkeye III Lite.
Friday, October 25, 2019
Charles River Analytics, developer of intelligent systems solutions, celebrated its seventh year as an employee-owned company during its annual ESOPtoberfest event. Charles River Analytics became a 100% employee owned company through the introduction of an employee stock ownership plan (ESOP) in 2012.
Thursday, October 10, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, is building our Probabilistic Operations Warranted for Energy Reliability Evaluation and Diagnostics (POWERED) app under a contract awarded by the US Army Corps of Engineers (USACE), Engineer Research and Development Center (ERDC). POWERED helps operators predict energy equipment reliability before an outage. We have proudly partnered with City Light & Power, Inc., provider of electric utility systems, on the POWERED effort.
Monday, September 30, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, has expanded our research and development on healthcare support and training over the last decade. Since 2009, we have announced multiple medical contract awards, including surgical training systems, a first-aid training framework, and artificial-intelligence-enabled patient support online communities.
Tuesday, September 10, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, will recruit at several college career fairs in Fall 2019. We have career openings for scientists, software engineers, researchers, support staff, and more.
Monday, September 9, 2019
Meet staff from Charles River Analytics, developer of intelligent systems solutions, at the Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS).
Wednesday, September 4, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, has received additional funding from the US Air Force to develop our Space Operation Visualizations Leveraging Augmented Reality (SOLAR) app. As part of the Defense Advanced Research Project Agency’s Hallmark program, SOLAR helps operators quickly develop situational awareness to maintain critical space assets.
Wednesday, August 28, 2019
Charles River Analytics Inc., developer of intelligent systems solutions, recently led a class session at the US Army’s Command and General Staff College. Senior engineer Arthur Wollocko, and scientists Elizabeth Thiry and Caroline Kingsley introduced students in the Futures Command Mission Command Battle Lab to our rich suite of AI, VR, and AR technologies. We also presented work on our Mission Command Augmented Reality Technologies to enhance Human User Readiness (MCARTHUR) approach. MCARTHUR applies AR to Mission Command, an integral part of all Army missions.

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