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Opportunities

Established in 1958 as part of the U.S. Department of Defense, DARPA pursues opportunities for transformational change rather than incremental advances. It does so collaboratively as part of a robust innovation ecosystem that includes academic, corporate, and governmental partners. To fulfill its mission, the Agency relies on diverse performers from throughout this ecosystem to apply multi-disciplinary approaches to both advance knowledge through basic research and create innovative technologies that address current and predicted practical problems through applied research. The list of selected opportunities displayed below is provided for convenience. For a complete listing of DARPA opportunities please visit the FedBizOpps website. More

In addition to program-specific opportunities, each DARPA technical office maintains an “office-wide” Broad Agency Announcement (BAA) that covers a range of technical areas of interest to each particular office. The office-wide BAAs are refreshed on an annual basis and offer a mechanism for researchers to reach DARPA with ideas that they feel could be valuable to national security.

 

Response date: 8/30/2019

HR001118S0057

Information Innovation Office (I2O) Office-wide
I2O
This Broad Agency Announcement (BAA) seeks revolutionary research ideas for topics not being addressed by ongoing I2O programs or other published solicitations. Potential proposers are highly encouraged to review the current I2O programs (http://www.darpa.mil/about-us/offices/i2o) and solicitations (http://www.darpa.mil/work-with-us/opportunities) to avoid proposing efforts that duplicate existing activities or that are responsive to other published I2O solicitations.
| Agency | Algorithms | Cyber | Data | ISR | Networking | Processing | Programming |
Response date: 12/18/2018

HR001119S0005

Machine Common Sense (MCS)
I2O
DARPA is soliciting innovative research proposals in the area of machine common sense to enable Artificial Intelligence (AI) applications to understand new situations, monitor the reasonableness of their actions, communicate more effectively with people, and transfer learning to new domains.
| AI |