DVIDS - News - DEVCOM Chemical Biological Center Places Third in Machine Learning Challenge

Photo By Brian Feeney Members of the DEVCOM CBC Deep Green Challenge team, Dr. Thomas Ingersol, Edward Emm,...... read more read more Photo By Brian Feeney Members of the DEVCOM CBC Deep Green Challenge team, Dr. Thomas Ingersol, Edward Emm, Julie Jenner, Dr. Samir Deshpande and Matt Browe, gather to work on improving their AI perception model for unmanned ground vehicles to navigate across land. DEVCOM Chemical Biological Center Places Third in Machine Learning Challenge By Dr. Brian B. Feeney Aberdeen Proving Ground, MD -- "None of us is as smart as all of us," is an old saying in business management, and it held true for a team of six U.S. Army Combat Capabilities Development Command Chemical Biological Center (DEVCOM CBC) researchers, all with different technical backgrounds, when they placed third in a U.S. Army machine learning contest. The Army's Office of Business Transformation joined up with the DEVCOM Army Research Laboratory to create the Deep Green Challenge in 2021. Its purpose is to improve Army organizations' skill in applying artificial intelligence and machine learning (AI/ML) to their technology development programs. For 2022, the challenge was to build AI perception models to solve the real-world challenge of getting unmanned ground vehicles (UGV) to navigate over land. UGVs have to be able to distinguish between an obstacle that requires rerouting such as a lake or a fallen tree from non-obstacles such as a puddle or fallen branch.