How do you get humans and autonomous systems to work together as a cohesive team? How do you quantify trust between humans and autonomous systems in such teams? For the U.S. Department of Defense (DoD), these are critical questions to be answered.

Purdue's College of Engineering announced the formation of the Institute of Hard AI on Tuesday (June 14) during the 11th annual meeting of the National Academy of Inventors in Phoenix. The collegewide institute positions Purdue as a national leader in artificial intelligence at the interface of the virtual and physical worlds.

More than 2,700 transportation colleagues attended the 108th Purdue Road School and Transportation Conference & Expo on March 15-16.

Howell Li is the principal research analyst in the Joint Transportation Research Program in Purdue University’s Lyles School of Civil Engineering. He collaborated with JTRP colleague Jijo Mathew and Tom Platte of the Indiana Department of Transportation to create technology that improves safety as vehicles approach a signalized intersection.

In this Medium blog, ABE/ME‘s John Evans discusses how his autonomous system would control a grain cart during unloading to lower operator stress and fatigue and enable more efficient operation, maximizing grain transfer and continuity of the harvest operation.

Lyles School of Civil Engineering's Howell Li, principal research analyst, and transportation research engineer Jijo Mathew of the Joint Transportation Research Program in Purdue University's Lyles School of Civil Engineering have collaborated with INDOT to create technology that improves safety as vehicles approach a signalized intersection.

Purdue experts provide answers about the Connected Community being developed at the district through 5G and 6G technology.

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Purdue University researchers received an Amazon Research Award for their development of a method to perform analytics on streaming video running on small devices linked together in the Internet of Things (IoT). This method can perform computationally expensive tasks, such as object detection and face recognition, in real time and provide guarantees about the accuracy.