Defense Advanced Research Projects AgencyTagged Content List

Data Analysis at Massive Scales

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

Showing 95 results for Data RSS
Chemical innovation plays a key role in developing cutting-edge technologies for the military. Research chemists design and synthesize new molecules that could enable a slew of next-generation military products, such as novel propellants for spacecraft engines; new pharmaceuticals and medicines for troops in the field; lighter and longer-lasting batteries and fuel cells; advanced adhesives, coatings and paints; and less expensive explosives that are safer to handle. The problem, however, is that existing molecule design and production methods rely primarily on experts’ intuition in a laborious, trial-and-error research process.
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.
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 |
January 30, 2018,
DARPA Conference Center
DARPA’s Tactical Technology Office is hosting a Proposers Day meeting to provide information to potential applicants on the objectives of Its new Broad Agency Announcement, Hallmark Tools and Capabilities 2 (Hallmark-TC2), part of the existing Hallmark program. Hallmark-TC2 aims to develop and validate additional technologies to complement and augment the original Hallmark tools and capabilities currently being integrated into Hallmark software testbeds.
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).