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 17 results for AI + Automation RSS
03/21/2019
The current generation of machine learning (ML) systems would not have been possible without significant computing advances made over the past few decades. The development of the graphics-processing unit (GPU) was critical to the advancement of ML as it provided new levels of compute power needed for ML systems to process and train on large data sets. As the field of artificial intelligence looks towards advancing beyond today’s ML capabilities, pushing into the realms of “learning” in real-time, new levels of computing are required.
08/02/2019
Department of Defense (DOD) systems and platforms are composed of numerous integrated cyber-physical subsystems, which create an enormous amount of complexity and makes their engineering a daunting task. Today, designing cyber-physical systems (CPS) requires an army of skilled engineers with the right domain expertise, and hundreds of domain-specific tools. The process used to design these systems is largely manual, creating long design cycles that often result in costly redesigns after building and testing the systems. The flaws in the process are numerous – from balancing predictability with cost-efficiency to operating under tight time constraints to integrating disparate pieces from multiple design teams.
Oct. 18, 2018 ,
Webinar
DARPA's 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 Accelerated Molecular Discovery (AMD) program. The Proposers Day will be held via prerecorded webcast on October 18, 2018 from 1:00 PM to 2:00 PM. Advance registration is required for viewing the webcast. Note, all times listed in this announcement and on the registration website are Eastern Time.
January 9, 2019,
Holiday Inn at Ballston
The Information Innovation Office is holding a Proposers Day meeting to provide information to potential proposers on the objectives of the new Knowledge-directed Artificial Intelligence Reasoning Over Schemas (KAIROS) program. KAIROS will explore how to understand complex events described in multi-media input by developing a semi-automated system that identifies, links, and temporally sequences their subsidiary elements, identifying the participants of the complex events and the subsidiary elements, and identifying the complex event type. An event is a recognizable and significant change in either the natural world or human society. Events of interest either create changes that have significant impact on national security or participate in causal chains that produce such impacts.
April 2, 2019,
DARPA Conference Center
The Microsystems Technology Office is holding a Proposers Day meeting to provide information to potential proposers on the objectives of the new Real Time Machine Learning (RTML) program and to facilitate teaming. The principal objective of RTML is to reduce the design costs associated with developing Application-Specific Integrated Circuits (ASICs) tailored for emerging machine learning (ML) applications. Researchers on the program will develop a software platform capable of automatically generating novel chip designs based on ML frameworks.