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 95 results for AI RSS
03/12/2019
Today’s machine learning systems are restricted by their inability to continuously learn or adapt as they encounter new situations; their programs are fixed after training, leaving them unable to react to new, unforeseen circumstances once they are fielded. Adding new information to cover programming deficits overwrites the existing training set. With current technology, this requires taking the system offline and retraining it on a dataset that incorporates the new information. It is a long and arduous process that DARPA’s Lifelong Learning Machines (L2M) program is working to overcome.
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.
03/21/2019
The inability of artificial intelligence (AI) to represent and model human partners is the single biggest challenge preventing effective human-machine teaming today. Current AI agents are able to respond to commands and follow through on instructions that are within their training, but are unable to understand intentions, expectations, emotions, and other aspects of social intelligence that are inherent to their human counterparts. This lack of understanding stymies efforts to create safe, efficient, and productive human-machine collaboration.
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.
March 6-7, 2019,
Hilton Alexandria Mark Center
DARPA has long been a leader in the field of artificial intelligence, establishing the foundations of the field and leading creation of expert systems, and then supporting the expansion of machine learning. The agency’s most recent investments — undertaken as part of DARPA’s $2 billion AI Next campaign — are supporting a shift in AI systems from tools alone to trusted, collaborative partners in problem solving. To increase awareness of DARPA’s expansive AI R&D efforts, the agency is hosting an Artificial Intelligence Colloquium (AIC) in March 2019. The event will bring together the Department of Defense research community and stakeholders to learn more about DARPA’s current and emerging AI programs, and discover how the technologies in development could apply to diverse missions.