DECEMBER 30, 2021 – Naval Surface Warfare Center, Crane Division (NSWC Crane), Office of Naval Research (ONR) and the NavalX Midwest Tech Bridge (MTB) recently announced the winners of the Artificial Intelligence for Small Unit Maneuvers (AISUM) Prize Challenge. EpiSys Science, Inc. (Episci) took first place and Draper, Inc. (Draper) took second place. According to their website, Episci is "a multidisciplinary innovation company that develops next-generation autonomous technologies for defense, aerospace, and commercial applications." Draper's website says the organization "serves our nation's interests and security needs; advances technologies at the intersection of government, academia, and industry; cultivates the next generation of innovators; and solves the most complex challenges." "The overall goal of this challenge was to move the technology needle," said Amy Ross, Program Manager for the AISUM Prize Challenge.

JUNE 2, 2021 – From the battlefield to the back office, artificial intelligence has the potential to transform how the Defense Department does business in areas like increasing the speed of decision making, making sense of complex data sets and improving efficiency in back-office operations. Ensuring that AI is developed, procured and used responsibly and ethically is a top priority for the department's top leader. "As the Department of Defense embraces artificial intelligence, it is imperative that we adopt responsible behavior, processes and outcomes in a manner that reflects the department's commitment to its core set of ethical principles," Deputy Secretary of Defense Dr. Kathleen Hicks wrote in a department-wide memorandum released last week. As part of that commitment to responsible artificial intelligence, or RAI, the memorandum sets forth foundational tenets for implementation across the department including a governance structure and processes to provide oversight and accountability; warfighter trust to ensure fidelity in the AI capability and its use, a systems engineering and risk management approach to implementation in the AI product and acquisition lifecycle; a robust ecosystem to ensure collaboration across government, academia, industry, and allies and build an AI-ready workforce. The memorandum also spelled out how the Joint Artificial Intelligence Center will serve as the lead to coordinate the implementation and oversight of the department's RAI efforts.

A team of researchers led by Rajesh Rao, a professor of computer science and engineering at the University of Washington, recently published a paper showing how robots can learn much like children – amassing data by watching adults do something, determining the goal of the action and then deciding how to perform it on their own. "This is a major step in designing robots that can learn from watching humans," said Micah Clark, a program officer in ONR's Warfighter Performance Department who oversees Rao's research. "It could one day result in truly intelligent machines that understand the intent and goals behind certain tasks, and help humans achieve those goals." For decades, scientists, writers, and filmmakers have envisioned a future where robots make human life safer and easier by doing mundane household chores or helping troops in battle. Rao believes this type of artificial intelligence might be achieved with inspiration from the most adorable and inquisitive of humans; babies.