Charles River Analytics Partners With Academia to Support DARPA Effort

Charles River Analytics has partnered with academic institutions to help the Defense Advanced Research Projects Agency boost the efficiency of machine-learning model development.

The company said Tuesday it will work with the University of British Columbia, Northeastern University and University of California Irvine to apply probabilistic programming under DARPA’s Learning with Less Labels effort.

The DARPA-led program aims to reduce data requirements for model production and streamline the process of making these models.

Work under the effort supports CRA’s Probabilistic Label-Efficient Deep Generative Structures or PLEDGES approach. PLEDGES aims to develop analytical technologies that address real-world challenges.

“To address these limitations, we will develop methods to learn the intrinsic properties of the data with probabilistic modeling,” said Avi Pfeffer, chief scientist at Charles River Analytics and principal investigator for PLEDGES.

You may also be interested in...

Anthony Lisuzzo Avisory board member Ironwave

Shipcom Wireless EVP Anthony Lisuzzo Joins Ironwave Technologies’ Advisory Board

Anthony Lisuzzo, executive vice president for east coast operations at Shipcom Wireless, has been named to the advisory board of Manassas-Virginia-based radio frequency and microwave technology provider Ironwave Technologies.

FLIR Centaur

FLIR Receives Modification to Army Unmanned Ground Vehicle Support IDIQ

The U.S. Army has awarded FLIR Systems a $30.1 million contract modification to help sustain unmanned ground vehicles designed to support anti-improvised explosive device operations and chemical, biological, radiological and nuclear detection.

GPS IIIF satellite

Raytheon to Launch Alternative Navigation Tech for GPS-Denied Environments

Raytheon Technologies is developing receivers planned to provide an alternative navigation system to GPS that integrates sensors and signals through concepts such as machine learning.