Defense Advanced Research Projects AgencyTagged Content List

Artificial Intelligence and Human-Computer Symbiosis Technologies

Technology to facilitate more intuitive interactions between humans and machines

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Machine learning (ML) systems today learn by example, ingesting tons of data that has been individually labeled by human analysts to generate a desired output. As these systems have progressed, deep neural networks (DNN) have emerged as the state of the art in ML models. DNN are capable of powering tasks like machine translation and speech or object recognition with a much higher degree of accuracy. However, training DNN requires massive amounts of labeled data–typically 109 or 1010 training examples. The process of amassing and labeling this mountain of information is costly and time consuming.
Models for providing hourly terrestrial weather forecasts anywhere in the world have become increasingly precise—our smartphones buzz or chirp with local alerts of approaching thunderstorms, heavy snow, flash floods, and big events like tornados and hurricanes. The military relies on accurate weather forecasts for planning complex operations in the air, on ground, and at sea.
DARPA today announced its Artificial Intelligence Exploration (AIE) program, a key component of the agency’s broader artificial intelligence (AI) investment strategy aimed at ensuring the United States maintains an advantage in this critical and rapidly accelerating technology area. AIE will constitute a series of unique funding opportunities that use streamlined contracting procedures and funding mechanisms to achieve a start date within three months of an opportunity announcement.
March 30, 2018,
DARPA Conference Center
DARPA’s Strategic Technology Office is hosting a Proposers Day to provide information to potential applicants on the structure and objectives of the new Collection and Monitoring via Planning for Active Situational Scenarios (COMPASS) program. COMPASS aims to help military decisionmakers gain clarity on adversary intent during complex, multi-layered gray zone conflict and then provide high-fidelity intelligence indicating how to best respond. The program will mix artificial intelligence, game theory, machine learning, modeling, simulation, control systems, estimation, and other fields.
| AI |
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 |