The OSI Program aims to develop methods for continuous, automated analysis of publicly available data in order to anticipate and/or detect significant societal events, such as political crises, humanitarian crises, mass violence, riots, mass migrations, disease outbreaks, economic instability, resource shortages, and...
The IARPA Quantum Computer Science (QCS) Program explores questions relating to the computational resources required to run quantum algorithms on realistic quantum computers. Any implementation of a quantum algorithm requires not only programming the algorithm at a logical level but also the incorporation of error correction and control schemes at...
The Multi-Qubit Coherent Operations Program aims to resolve the technical challenges involved in fabricating and operating multiple qubits in close proximity. The main themes of the program include qubit fabrication and yield; cross talk within the multi-qubit system; incorporation of the controls necessary to operate...
For decision makers to be effective in a world of mass communication and global interaction, they must understand the shared concepts and worldviews of members of other cultures of interest. Recognizing cultural norms is a significant challenge, however, because they tend to be hidden. Even cultural natives have difficulty defining them because...
Past research has shown that publicly available data can accurately forecast societal events such as civil unrest and disease outbreaks. For example, DOD’s Integrated Crisis Early Warning System (ICEWS) and IARPA’s Open Source Indicators (OSI) have developed methods to forecast societal events using structural data, news feeds,...
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 general properties of an entity (e.g., an apple is edible) as well as its relationships to other entities (e.g., an apple is associated...
The objective of KDD is to enable analysts to quickly produce actionable intelligence from multiple, disparate data sources, including new, unanticipated data sets that become available to analysts. To meet this objective, KDD has developed multiple solutions to the challenges of large-scale data alignment efforts and...
Sensemaking refers to the remarkable human ability to detect patterns in data, and to infer the underlying causes of those patterns - even when the data are sparse, noisy, and uncertain. The focus of the ICArUS Program is to understand and model how humans engage in the sensemaking process, both during optimal and suboptimal (biased)...
The Intelligence Surveillance and Reconnaissance (ISR) role for UAVs is dependent upon the ability of the UAV to do its mission without the adversary being able to counter it. For many such ISR applications, the acoustic signature of the UAV alerts the adversary to the UAVs presence and can interfere with the mission. Battery powered...
Today, the identification and assessment of emerging technical capabilities is a time-consuming, domain-specific, and expert-intensive process. This demanding process is often carried out under severe time constraints on either too much or too little data, with limited reproducible auditing and bias controls, and with...
It is common today for even consumer-grade cameras to tag the images and videos that they capture with the location of the image on the earth’s surface (geolocation). However, some imagery does not have a geolocation tag and it can be important to know the location of the camera, image, or objects in the scene. For this imagery,...
Dr. Michael Patterson joined IARPA in March of 2021. In his current assignment as a Program Manager, Dr. Patterson focuses on areas of scientific research that includes synthetic biology, biointelligence, biosecurity, biodosimetry, biodefense, and other bio-focused disciplines. He is presently leading IARPA's efforts on the TEI-REX program...
IARPA is interested in human physiological changes arising from the synthesis or handling of chemical and biological agents of interest and related materials. BIC anticipates that distinguishing biomarkers reflective of changes in host status after exposure would be observed in physiological matrices. These biomarkers may be from immunological,...
The Biometrics Exploitation Science and Technology (BEST) Program seeks to significantly advance the state-of-the-science for biometrics technologies. The overarching goals for the program are: To significantly advance the Intelligence Community's (IC) ability to achieve high-confidence match performance, even when the features are derived from...
The Babel Program is developing agile and robust speech recognition technology that can be rapidly applied to any human language in order to provide effective search capability for analysts to efficiently process massive amounts of real-world recorded speech. Today’s transcription systems are built on technology that was originally developed for...
Massive numbers of video clips are generated daily on many types of consumer electronics and uploaded to the internet. In contrast to videos that are produced for broadcast or from planned surveillance, the "unconstrained" video clips produced by anyone who has a digital camera present a significant challenge for manual...
The goal of the ACE Program is to dramatically enhance the accuracy, precision, and timeliness of intelligence forecasts for a broad range of event types, through the development of advanced techniques that elicit, weight, and combine the judgments of many intelligence analysts. The ACE Program seeks technical innovations in the following areas:...
DNI.gov - The Intelligence Advanced Research Projects Activity (IARPA), within the Office of the Director of National Intelligence, issued the Microelectronics in Support of Artificial Intelligence (MicroE4AI) Seedling Broad Agency Announcement...
BBC - Imagine you come across a message that could contain life-saving information. But there's a problem: you don't understand a word. You're not even sure which of the world's thousands of languages it is written in....To break that barrier, IARPA is funding research to develop a system that can find, translate, and summarise...
USC Viterbi School of Engineering - Do humans trust AI assistants? If so, when? If not, why? Do human-AI collaborations fare better than AI or human intuition alone?... To quantify such human-machine relationships, we need a lot of humans willing to try to collaborate with AI in a...
