Defense Advanced Research Projects AgencyTagged Content List

Artificial Intelligence and Human-Computer Symbiosis Technologies

Technology to facilitate more intuitive interactions between humans and machines

Showing 15 results for AI + Complexity 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.
01/30/2020
U.S. forces operating in remote, under-governed regions around the world often find that an area’s distinct cultural and societal practices are opaque to outsiders, but are obvious to locals. Commanders can be hindered from making optimal decisions because they lack knowledge of how local socio-economic, political, religious, health, and infrastructure factors interact to shape a specific community.
03/19/2020
Service members at U.S. Indo-Pacific Command headquarters in Hawaii recently tested a prototype DARPA system designed to help military analysts and planners determine if observed events – such as increased force movements, cyber intrusions, and civil unrest – are unconnected occurrences, or if they’re part of an adversary’s coordinated campaign to achieve strategic objectives in a geographic region.
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.
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