Jets can be flown by A.I. and can even take off, land and participate in dogfights. It's no secret at this point that AI is taking over many industries fast, and it certainly has its positives and negatives. Some are concerned with how using this technology will impact jobs for humans, while others are thrilled to see how tasks will get done much more efficiently. CLICK TO GET KURT'S FREE CYBERGUY NEWSLETTER WITH SECURITY ALERTS, QUICK TIPS, TECH REVIEWS AND EASY HOW-TO'S TO MAKE YOU SMARTER One field that is using AI to its fullest capabilities is the U.S. Navy. Our military's defense mechanisms have improved enormously in the 21st century; however, they have never used technology quite like this.

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.

More than 1,000 attendees gathered online March 22–24 for the Naval Applications for Machine Learning (NAML) workshop hosted by Naval Information …