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 + Adaptability RSS
March 14, 2019, 9:00 AM ET,
DARPA Conference Center
The Information Innovation Office is holding a Proposers Day meeting to provide information to potential proposers on the objectives of the new Artificial Social Intelligence for Successful Teams (ASIST) program. ASIST will explore human-machine teaming and machine social intelligence in a teaming context. DARPA envisions computer-based agents that observe their surroundings; build and maintain rich representations of the environment, team, and individuals; infer teammates’ goals (non-verbal behavior); predict teammates’ actions; and assist teams by planning interventions and executing them at appropriate times. During demonstrations in a virtual testbed, ASIST agents will operate in increasingly complex environments and will have to adapt to challenges such as a change in strategy.
February 20, 2019,
Webcast
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day webcast to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the Competency-Aware Machine Learning (CAML) program. The Proposers Day will be held via prerecorded webcast on February 20, 2019 at 11:00 AM EST and will repost at 3:00 PM EST. Advance registration is required for viewing the webcast.
March 30, 2017,
DARPA Conference Center
In support of the Lifelong Learning Machines (L2M) program, DARPA will host a Proposers Day on March 30, 2017, at the DARPA Conference Center in Arlington, VA. The registration deadline for the event is March 24, 2017, at noon (EDT).
March 5, 2019,
Executive Conference Center
The Defense Advanced Research Projects Agency (DARPA) Defense Sciences Office (DSO) is sponsoring a Proposers Day to provide information to potential proposers on the objectives of an anticipated Broad Agency Announcement (BAA) for the Science of Artificial Intelligence and Learning for Open-world Novelty (SAIL-ON) program.
In order to transform machine learning systems from tools into partners, users need to trust their machine counterpart. One component to building a trusted relationship is knowledge of a partner’s competence (an accurate insight into a partner’s skills, experience, and reliability in dynamic environments). While state-of-the-art machine learning systems can perform well when their behaviors are applied in contexts similar to their learning experiences, they are unable to communicate their task strategies, the completeness of their training relative to a given task, the factors that may influence their actions, or their likelihood to succeed under specific conditions.