Defense Advanced Research Projects AgencyOur Research

Our Research

DARPA’s investment strategy begins with a portfolio approach. Reaching for outsized impact means taking on risk, and high risk in pursuit of high payoff is a hallmark of DARPA’s programs. We pursue our objectives through hundreds of programs. By design, programs are finite in duration while creating lasting revolutionary change. They address a wide range of technology opportunities and national security challenges. This assures that while individual efforts might fail—a natural consequence of taking on risk—the total portfolio delivers. More

For reference, past DARPA research programs can be viewed in the Past Programs Archive.

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. More
Urban Reconnaissance through Supervised Autonomy (URSA) is a DARPA program to enable improved techniques for rapidly discriminating hostile intent and filtering out threats in complex urban environments. More
Government agencies and the military rely upon many kinds of Commercial Off-the-Shelf (COTS) commodity Information Technology (IT) devices, including mobile phones, printers, computer workstations and many other everyday items. Each of these devices is the final product of long supply chains involving many vendors from many nations providing various components and subcomponents, including considerable amounts of software and firmware. Long supply chains provide adversaries with opportunities to insert hidden malicious functionality into this software and firmware that adversaries can exploit to accomplish harmful objectives, including exfiltration of sensitive data and sabotage of critical operations. More
Successful integration of next generation AI into DoD applications must be able to deal with incomplete, sparse and noisy data as well as unexpected circumstances that might arise while solving real world problems. Thus, there is a need for new computing models that are efficient and robust, can learn new concepts with very few examples, and can guide the development of adequate novel hardware to support them. More
| AI | Algorithms | Math |
The low cost of digital imaging devices has allowed them to become ubiquitous consumer products. This low cost is made possible by leveraging a mature complementary metal oxide semiconductor (CMOS) processing infrastructure and the ability to fabricate complete focal plane arrays (FPAs) at the wafer scale. A similar trend is occurring at a smaller scale with thermal imaging technologies. Microbolometers that are sensitive in the LWIR spectrum are also manufactured at the wafer scale and the resulting cost reduction is enabling thermal imagers at consumer-grade price points. More
Currently, understanding and assessing the readiness of the warfighter involves medical intervention with the help of advanced equipment, such as electrocardiographs (EKGs) and other specialized medical devices, that are too expensive and cumbersome to employ continuously or without supervision in non-controlled environments. On the other hand, currently 92 percent of adults in the United States own a cell phone, which could be used as the basis for continuous, passive health, and readiness assessment. More
| AI | Analytics | Data | Health |
The World Modelers program aims to develop technology that integrates qualitative causal analyses with quantitative models and relevant data to provide a comprehensive understanding of complicated, dynamic national security questions. The goal is to develop approaches that can accommodate and integrate dozens of contributing models connected by thousands of pathways—orders of magnitude beyond what is possible today. More
| AI | Automation | Data |