Defense Advanced Research Projects AgencyTagged Content List

Fundamental Physical Science

Pushing the boundaries of knowledge of the physical sciences

Showing 109 results for Fundamentals RSS
The Biological Control program seeks to support a wide range of potential Department of Defense (DoD) applications by establishing design and control principles that lead to reliable performance in biological systems. Leveraging technologies developed under this program will enable consistent operation of systems that combat biological threats; speed healing after physical trauma; and support military readiness by complementing the body’s natural defenses against emerging diseases.
A rapidly increasing percentage of the world’s population is connected to the global information environment. At the same time, the information environment is enabling social interactions that are radically changing how and at what rate information spreads. Both nation-states and nonstate actors have increasingly drawn upon this global information environment to promote their beliefs and further related goals.
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.
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.
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.