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 48 results for AI RSS
08/11/2017
The current wave of artificial intelligence, driven by machine learning (ML) techniques, is all the rage, and for good reason. With sufficient training on digitized writing, spoken words, images, video streams, and other digital content, ML has become the basis of voice recognition, self-driving cars, and other previously only-imagined capabilities.
12/21/2017
Competitors from around the world came together this month for the preliminary round of DARPA’s Spectrum Collaboration Challenge (SC2) at The Johns Hopkins University Applied Physics Laboratory (APL) in Laurel, MD. This was the first event of the three-year long tournament designed to generate new wireless paradigms and access strategies in which radio networks enhanced with artificial intelligence (AI) will autonomously collaborate and reason about how to share the increasingly congested electromagnetic (EM) spectrum.
01/08/2018
The director of the U.S. Defense Advanced Research Projects Agency (DARPA), Dr. Steven Walker, today announced the appointment of Dr. Peter Highnam as deputy director of the Agency. Highnam, a former DARPA program manager, is expected to help advance critical research in several fields including artificial intelligence, data analytics, communications, reconnaissance, electronic warfare, biosecurity, and warfighter health.
03/14/2018
An emergent type of conflict in recent years has been coined “gray zone,” because it sits in a nebulous area between peace and conventional warfare. Gray-zone action is not openly declared or defined, it’s slower, and is prosecuted more subtly—using social, psychological, religious, information, cyber and other means to achieve physical or cognitive objectives with or without violence. The lack of clarity of intent—the grayness—makes it challenging to detect, characterize, and counter an enemy fighting this way.
| AI |
05/03/2018
Machine learning (ML) and artificial intelligence (AI) systems have significantly advanced in recent years. However, they are currently limited to executing only those tasks they are specifically designed to perform and are unable to adapt when encountering situations outside their programming or training. DARPA’s Lifelong Learning Machines (L2M) program, drawing inspiration from biological systems, seeks to develop fundamentally new ML approaches that allow systems to adapt continually to new circumstances without forgetting previous learning.