Defense Advanced Research Projects AgencyTagged Content List

Artificial Intelligence and Human-Computer Symbiosis Technologies

Technology to facilitate more intuitive interactions between humans and machines

Showing 11 results for AI + Complexity RSS
An emergent type of geopolitical warfare in recent years has been coined "gray zone competition," or simply "competition," because it sits in a nebulous area between peace and conventional conflict. It’s not openly declared or defined, it’s slower and is prosecuted more subtly using social, psychological, religious, information, cyber and other means to achieve physical or cognitive objectives with or without violence. The lack of clarity of intent in competition activity makes it challenging to detect, characterize, and counter an enemy fighting this way.
Cyber physical systems (CPS) are instrumental to current and future Department of Defense (DoD) mission needs – unmanned vehicles, weapon systems, and mission platforms are all examples of military-relevant CPS. These systems and platforms integrate cyber and physical subsystems, and the enormous complexity of the resulting CPS has made their engineering design a daunting challenge. An immediate consequence of this complexity is development cycles with prolonged timelines that challenge DoD’s ability to counter emerging threats.
New manufacturing technologies such as additive manufacturing have vastly improved the ability to create shapes and material properties previously thought impossible. Generating new designs that fully exploit these properties, however, has proven extremely challenging. Conventional design technologies, representations, and algorithms are inherently constrained by outdated presumptions about material properties and manufacturing methods. As a result, today’s design technologies are simply not able to bring to fruition the enormous level of physical detail and complexity made possible with cutting-edge manufacturing capabilities and materials.
The Understanding Group Biases (UGB) program seeks to develop and prove out capabilities that can radically enhance the scale, speed, and scope of automated, ethnographic-like methods for capturing group biases and cultural models from increasingly available large digital datasets.
Program Manager
Dr. Fotis Barlos joined DARPA in January 2017 as a program manager in the Strategic Technology Office (STO). Dr. Barlos' interests include data analytics, computational science, and planning technologies.