Defense Advanced Research Projects AgencyTagged Content List

Analytics for Data at Massive Scales

Extracting information from large data sets

Showing 20 results for Analytics + AI RSS
05/31/2017
Advances in artificial intelligence (AI) are making virtual and robotic assistants increasingly capable in performing complex tasks. For these “smart” machines to be considered safe and trustworthy collaborators with human partners, however, robots must be able to quickly assess a given situation and apply human social norms. Such norms are intuitively obvious to most people—for example, the result of growing up in a society where subtle or not-so-subtle cues are provided from childhood about how to appropriately behave in a group setting or respond to interpersonal situations. But teaching those rules to robots is a novel challenge.
01/04/2019
Rapid comprehension of world events is critical to informing national security efforts. These noteworthy changes in the natural world or human society can create significant impact on their own, or may form part of a causal chain that produces broader impact. Many events are not simple occurrences but complex phenomena composed of a web of numerous subsidiary elements – from actors to timelines. The growing volume of unstructured, multimedia information available, however, hampers uncovering and understanding these events and their underlying elements.
| AI | Analytics | Data |
09/03/2019
The threat of manipulated multi-modal media – which includes audio, images, video, and text – is increasing as automated manipulation technologies become more accessible, and social media continues to provide a ripe environment for viral content sharing. The creators of convincing media manipulations are no longer limited to groups with significant resources and expertise. Today, an individual content creator has access to capabilities that could enable the development of an altered media asset that creates a believable, but falsified, interaction or scene.
| AI | Analytics | Trust |
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).
The United States Government has an interest in developing and maintaining a strategic understanding of events, situations, and trends around the world, in a variety of domains. The information used in developing this understanding comes from many disparate sources, in a variety of genres, and data types, and as a mixture of structured and unstructured data. Unstructured data can include text or speech in English and a variety of other languages, as well as images, videos, and other sensor information.