Four research companies pursue artificial intelligence for image intelligence

WASHINGTON-Artificial intelligence experts at Teledyne Scientific & Imaging LLC in Thousand Oaks, Calif., are joining those at the Siemens Corp. Corporate Research and Technology Division in Princeton, N.J.; Carnegie Mellon University in Pittsburgh; and HRL Laboratories LLC in Malibu, Calif., on an intelligence research project to unlock secrets in the nature of knowledge in an effort to improve tools and training available to intelligence analysts.

The four companies are working on the Knowledge Representation in Neural Systems (KRNS) program of the Intelligence Advanced Research Projects Agency (IARPA) in Washington.

In November, Teledyne Scientific won an $8.4 million IARPA contract, and Siemens won a $2.2 million contract. Carnegie Mellon, which won a $4.8 million contract, and HRL, which won a $10.3 million contract, received their awards in September before the temporary government shutdown.

A U.S. Navy intelligence specialist reviews aerial reconnaissance aboard a deployed Navy aircraft carrier. Researchers are trying to refine image analysis skills with artificial intelligence.
A U.S. Navy intelligence specialist reviews aerial reconnaissance aboard a deployed Navy aircraft carrier. Researchers are trying to refine image analysis skills with artificial intelligence.

Experts from Teledyne Scientific, Siemens, Carnegie Mellon, and HRL will develop new theories that explain how conceptual knowledge is represented in the human brain and test those theories by demonstrating the ability to predict and interpret concept-relate patterns of neural activity measured non-invasively.

Awarding the contracts on behalf of IARPA were officials of the U.S. Air Force Research Laboratory at Wright-Patterson Air Force Base, Ohio. IARPA is the research arm of the U.S. Office of the Director of National Intelligence.

KRNS seeks to develop and test theories that explain how the human brain represents diverse types of conceptual knowledge within spatial and changing patterns of neural activity.

The four companies will develop systems that aim to predict patterns of neural activity associated with particular concepts and that can interpret which concepts are represented within measured patterns of neural activity.

The program will obtain all neural activity data using non-invasive methods such as functional magnetic resonance imaging (FMRI) and magnetoencephalography (MEG).

The program may uncover new ways of helping intelligence analysts probe deeply into images, video, text, and other data sets. When making sense of intelligence data, analysts rely on rich repertoires of conceptual knowledge to resolve ambiguities, make inferences, and draw conclusions.

Conceptual knowledge refers to knowledge about the properties of an entity, as well as its relationships to other entities.

Understanding how the human brain represents conceptual knowledge is a step toward building new analysis tools that acquire, organize and wield knowledge with unprecedented proficiency, officials say. Moreover, such understanding may lead to the development of novel techniques for training intelligence analysts and linguists.

The KRNS program consists of two phases: one that seeks to understand how the brain varies its representation of a concept. The second phase of the KRNS program will explore how the brain represents single concepts and combinations of concepts.

Teledyne, Siemens, Carnegie Mellon, and HRL engineers should complete this phase of the KRNS program by November 2016.

FOR MORE INFORMATION visit Teledyne Scientific & Imaging online at www.teledyne-si.com, Siemens Corporate Research at www.usa.siemens.com/en/about_us/research, Carnegie Mellon University at www.cmu.edu/research, HRL Laboratories at www.hrl.com, and the Intelligence Advanced Research Projects Agency (IARPA) at www.iarpa.gov.


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