In past, DARPA had (R&D) that facilitated the advancement and application of “First Wave” (rule based) and “Second Wave” (statistical learning based) AI technologies. Today, DARPA continues to lead innovation in AI research which will help shape a future for AI technology where machines may serve as trusted and collaborative partners in solving problems of importance to national security.
It is anticipated that AI will play an ever larger role in future Department of Defense (DoD) activities, ranging from scientific discovery, to human-machine collaboration, to real-time sensor processing, to the control and coordination of a variety of distributed, intelligent and autonomous composable systems.
Although artificial intelligence is making its way into private- and public-sector enterprise systems, it has not gained as much traction in the Defense Department. Between DOD’s security and performance requirements, the immaturity of the technology to deal with unstructured and incomplete data and the complex problems that come with modeling dynamic systems, integration of AI into defense applications has been slow.
DARPA believes this future will be realized upon the development and application of “Third Wave” AI technologies, where systems are capable of acquiring new knowledge through generative contextual and explanatory models. The Physics of AI (PAI) basic research Disruption Opportunity supports this vision.
To speed the adoption of AI, the Defense Advanced Research Projects Agency is issuing a Disruption Opportunity — a call for innovative basic research concepts exploring new architectures and approaches to improve AI’s ability to generalize beyond training data and work with sub-optimal data.
PAI aims to develop novel AI architectures, algorithms and approaches that “bake in” the physics, mathematics and prior knowledge relevant to an application domain in order to address the technical challenges in application of AI in scientific discovery, human-AI collaboration, and a variety of defense applications.
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