Defense Advanced Research Projects AgencyTagged Content List

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Showing 11 results for Math + Data RSS
04/22/2016
Advanced materials are increasingly embodying counterintuitive properties, such as extreme strength and super lightness, while additive manufacturing and other new technologies are vastly improving the ability to fashion these novel materials into shapes that would previously have been extremely costly or even impossible to create. Generating new designs that fully exploit these properties, however, has proven extremely challenging.
05/31/2017
Advances in artificial intelligence (AI) are making virtual and robotic assistants increasingly capable in performing complex tasks. For these “smart” machines to be considered safe and trustworthy collaborators with human partners, however, robots must be able to quickly assess a given situation and apply human social norms. Such norms are intuitively obvious to most people—for example, the result of growing up in a society where subtle or not-so-subtle cues are provided from childhood about how to appropriately behave in a group setting or respond to interpersonal situations. But teaching those rules to robots is a novel challenge.
09/02/2020
In this episode of the Voices from DARPA podcast, Air Force Lt. Col. C. David Lewis, a program manager since 2018 in the agency’s Defense Sciences Office, takes listeners on a tour of the amazingly diverse portfolio of programs he oversees. The foci of these range from the deep math underlying optimization challenges, such as planning complex routes and managing supply chains, to using untapped signals in the atmosphere as indicators of both natural and human activities on the planet’s surface.
June 14, 2016,
DARPA Conference Center
DARPA’s Information Innovation Office (I2O) is hosting a Proposers Day to provide information to potential proposers on the objectives of the upcoming Data-Driven Discovery of Models program. The program aims to develop semi-automated model discovery systems that enable non-expert users (i.e., users with subject matter expertise but no data science background) to create empirical models of real, complex processes. DARPA believes such a capability would increase the productivity of data scientists, and enable many more users to make predictions from data.
September 27, 2016,
Hilton Arlington
DARPA’s Information Innovation Office (I2O) will host a Proposers Day conference to provide information to potential proposers on the objectives of the anticipated Modeling Adversarial Activity (MAA) Broad Agency Announcement (BAA). The Proposers Day will be held Tuesday, September 27, 2016, from 9:00 AM to 3:00 PM (ET) at the Hilton Arlington, located at 950 North Stafford Street, Arlington, VA. The purpose of this conference is to provide information on the MAA program, promote relevant discussion, and address questions from potential proposers.
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