Defense Advanced Research Projects AgencyTagged Content List

Data Analysis at Massive Scales

Extracting information and insights from massive datasets; "big data"; "data mining"

Showing 8 results for Data + Tech-Foundations RSS
06/02/2017
A mantra of these data-rife times is that within the vast and growing volumes of diverse data types, such as sensor feeds, economic indicators, and scientific and environmental measurements, are dots of significance that can tell important stories, if only those dots could be identified and connected in authentically meaningful ways. Getting good at that exercise of data synthesis and interpretation ought to open new, quicker routes to identifying threats, tracking disease outbreaks, and otherwise answering questions and solving problems that previously were intractable.
09/07/2017
DARPA published its Young Faculty Award (YFA) 2018 Research Announcement today, seeking proposals in 26 different topic areas—the largest number of YFA research areas ever solicited.
09/07/2018
Over its 60-year history, DARPA has played a leading role in the creation and advancement of artificial intelligence (AI) technologies that have produced game-changing capabilities for the Department of Defense. Starting in the 1960s, DARPA research shaped the first wave of AI technologies, which focused on handcrafted knowledge, or rule-based systems capable of narrowly defined tasks. While a critical step forward for the field, these systems were fragile and limited.
Social media, sensor feeds, and scientific studies generate large amounts of valuable data. However, understanding the relationships among this data can be challenging. Graph analytics has emerged as an approach by which analysts can efficiently examine the structure of the large networks produced from these data sources and draw conclusions from the observed patterns.
Serial Interactions in Imperfect Information Games Applied to Complex Military Decision Making (SI3-CMD) builds on recent developments in artificial intelligence and game theory to enable more effective decisions in adversarial domains. SI3-CMD will explore several military decision making applications at strategic, tactical, and operational levels and develop AI/game theory techniques appropriate for their problem characteristics.