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 33 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.
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.
| AI | Complexity | Data | Math |
Machine learning has shown remarkable success across many application areas in recent years, leveraging advances in computing power and the availability of large sets of training data. It provides a tremendous opportunity to deploy data-driven systems in more complex and interactive tasks including personalized autonomy, agile robotics, self-driving vehicles, and smart cities. Despite dramatic progress, the machine learning community still lacks an understanding of the trade-offs and mathematical limitations of related technologies for a given domain, problem, or dataset.
August 11, 2016,
George Mason University – Arlington, VA Campus (Founders Hall)
The Defense Advanced Research Projects Agency (DARPA) Microsystems Technology Office (MTO) is hosting a Proposers Day in support of the Hierarchical Identify Verify Exploit (HIVE) Program on August 11, 2016, at George Mason University – Arlington, VA Campus (Founders Hall), located at 3351 North Fairfax Drive, Arlington, VA, 22201, from 9:00 AM to 12:30 PM, Eastern Daylight Time (EDT).
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).