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.

Health threats often evolve more quickly than health solutions. Despite ongoing research in the government and the biopharmaceutical industry to identify new therapies, the Department of Defense (DoD) currently lacks tools to address the full spectrum of chemical, biological, and disease threats that could impact the readiness of U.S. forces. More
The goal of the Fundamental Design (FUN Design) program is to determine whether we can develop or discover a new set of building blocks to describe conceptual designs. The design building blocks will capture the components’ underlying physics allowing a family of nonintuitive solutions to be generated. More
Machine learning has shown remarkable success across many application areas in recent years, leveraging advances in computing power and the availability of large sets of training data. It provides a tremendous opportunity to deploy data-driven systems in more complex and interactive tasks including personalized autonomy, agile robotics, self-driving vehicles, and smart cities. Despite dramatic progress, the machine learning community still lacks an understanding of the trade-offs and mathematical limitations of related technologies for a given domain, problem, or dataset. More
Detection of photons—the fundamental particles of light—is ubiquitous, but performance limitations of existing photon detectors hinders the effectiveness of applications such as light/laser detection and ranging (LIDAR/LADAR), photography, astronomy, quantum information science, medical imaging, microscopy and communications. In all of these applications, performance could be improved by replacing classical, analog light detectors with high-performance photon counting detectors. More
FunCC aims to uncover fundamental principles of resilient self-organized complex systems applicable to domains spanning autonomous systems to biological networks, the immune system, and ecosystems. The dynamics and evolution of complex collectives are explored using new frameworks that embrace agent heterogeneity, stochasticity, distributed control, and diffusion of (mis)information. More
Scientific imagination is critical to our economy as well as our national security and defense. Research and development, as an expression of scientific imagination, is now a global and intensely competitive enterprise. This competition is heightened by digital and network disruptors that increase the speed and extend the borders of idea exchange affecting the nature and spread of threats and opportunities. Organizations fundamentally based on shaping the future need to leverage every possible advantage to succeed in this environment. More
The Geospatial Cloud Analytics (GCA) program is developing technology to rapidly access the most up-to-date commercial and open-source satellite imagery, as well as automated machine learning tools to analyze this data. Current approaches to geospatial analysis are ad hoc and time intensive, as they require gathering and curating data from a large number of available sources, downloading the data to specific locations, and running it through separate suites of analytics tools. More
For decades, U.S. military air operations have relied on increasingly capable multi-function manned aircraft to execute critical combat and non-combat missions. Adversaries’ abilities to detect and engage those aircraft from longer ranges have improved over time as well, however, driving up the costs for vehicle design, operation and replacement. An ability to send large numbers of small unmanned air systems (UASs) with coordinated, distributed capabilities could provide U.S. forces with improved operational flexibility at much lower cost than is possible with today’s expensive, all-in-one platforms—especially if those unmanned systems could be retrieved for reuse while airborne. More