Friday, October 2, 2020
As part of the US Army Futures Command, the Army Medical Research and Development Command is pioneering the development of unmanned systems and robots that can evacuate casualties from the battlefield. These systems transport injured Soldiers out of harm’s way. “The idea here is that unmanned systems can save the lives of medics, who often face dangerous combat situations when Soldiers get hurt,” said Stan German, Senior Scientist at Charles River Analytics. “For example, evacuation robots can prevent medics from being exposed to enemy gunfire or shrapnel.”
Monday, September 28, 2020
Charles River Analytics Inc., developer of intelligent systems solutions, has partnered with the University of Massachusetts at Amherst and the University of Texas at Austin to develop our Advancing Learning via Probabilistic Causal Analysis for Competency Awareness (ALPACA) framework under DARPA’s CAML program.
Friday, September 25, 2020
From the over 800 teams that submitted their solutions to the AFWERX Space Challenge initiatives, AFWERX has announced Charles River Analytics as one of the 178 selected to exhibit at EngageSpace, a virtual two-day event held on September 29-30.
Wednesday, September 23, 2020
Charles River Analytics Inc., developer of intelligent systems solutions, has received funding from the US Army Corps of Engineers, Engineer Research and Development Center (ERDC), to develop a Data Analysis Tool to Assess Value of Information for Decision Making (DATAVOID).
Tuesday, September 22, 2020
Portable side scan sonar systems­—often integrated into autonomous underwater vehicles (AUVs) and unmanned underwater vehicles (UUVs)—are now routinely deployed to survey the ocean and seafloor for objects of interest, including mines, black boxes, shipping containers, pipelines, human bodies, hull defects, and more. However, surveys are often constrained by the need to physically transport the data back to the surface for analysis, which then involves laborious data inspection by experts.
Tuesday, September 15, 2020
Marine robotics researchers are making autonomous underwater vehicles even more capable with deep learning software that lets them recognize objects on their own. In 2018, marine robotics scientist Arjuna Balasuriya was at the Advanced Naval Technology Exercise (ANTX) in Newport, Rhode Island, testing new software for an autonomous underwater vehicle (AUV). In the past, his AUV research had meant long ocean cruises in rough choppy waters, but for the moment, he was analyzing his algorithms from a comfortable dry seat on land.
Tuesday, September 15, 2020
Teledyne Gavia, a global leader in the manufacture of autonomous underwater vehicles (AUVs), has introduced Charles River Analytics’ AutoTRap Onboard™ AI-based object detection software as a new capability onboard their Gavia marine vehicles. As underwater operations become more complex and dangerous, AI tech has emerged as the clear solution for delivering the consistent and accurate results that have proven elusive until now due to the challenges of ever-changing marine environments.
Monday, September 14, 2020
Meet staff from Charles River Analytics, developer of intelligent systems solutions, at the upcoming Advanced Maui Optical and Space Surveillance Technologies Conference (AMOS).
Friday, September 11, 2020
With positions open for scientists, software engineers, researchers, support staff, and more, we’re excited to announce our recruiting and college career fair attendance for Fall 2020. We’re creating a robust pipeline of interns and candidates that will help us grow and continue to diversify.
Wednesday, September 9, 2020
Every scientific problem tends to have two different kinds of solutions: the practical and the theoretical. Scientists tend to be devoted to one side or the other, either getting lost in the clouds or mired in the details, according to their particular bent. For computer scientist Sanja Cvijic, who joined Charles River Analytics in January 2020, it’s been the shifts between the two sides that have enriched her perspective the most, allowing her to quickly become one of the company’s leaders in developing theory-based AI solutions for practical problems.


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