HAYSTAC BAA HAYSTAC aims to develop novel capabilities that produce large-scale microsimulations of fine-grained human movement and create AI reasoning engines capable of both identifying abnormal movement trajectories and generating normal ones. Technical approaches will characterize what makes a given activity detectable within the...
SIGNAL - The Deep Intermodal Video Analytics (DIVA) program, which is run by the Intelligence Advanced Research Projects Activity (IARPA), is “creating automatic activity detectors that can watch hours of video and highlight the few seconds when a person or vehicle does a specific activity,” the program...
SMART ePANTS program aims to develop sensor systems that can record and store audio, video and location data. For maximum comfort and dexterity of the user, additional program objectives include sensor integration into clothing, where the garment maintains similar stretchability, bendability, surface roughness and washability...
The SMART ePANTS program seeks to develop clothing with integrated audio, video, and geolocation sensor systems that feature the same stretchability, bendability, washability, and comfort of regular textiles. By weaving these devices directly into garments, Intelligence Community staff will be able to record information from their...
IARPA is seeking information on methods, databases, approaches, and appropriate metrics for characterizing the structure, function, and synthesis pipelines of biomanufactured materials. Biomanufacturing offers unprecedented flexibility and access to the production of numerous types of materials, potentially replacing up to 60% of...
WRIVA aims to develop software algorithm-based systems that can create photorealistic, navigable site models using a highly limited corpus of imagery to include ground level imagery, surveillance height imagery (traffic camera), UAV altitude imagery, and Satellite imagery. Additionally, where imagery lacks metadata indicating...
The WRIVA program aims to develop software systems to perform site modeling in scenarios where a limited volume of ground-level imagery with reliable metadata is available. Site models are highly desired to allow personnel to train and rehearse prior to executing a mission, but typically require a large volume of carefully collected data. Many...
DNI.gov - The Intelligence Advanced Research Projects Activity, the research and development arm of the Office of the Director of National Intelligence, announced today the Biometric Recognition & Identification at Altitude and Range (BRIAR) program — a multi-year research effort to develop new software systems...
The GRAIL program seeks to develop technology to enable in situ systems capable of persistent and unattended monitoring of tritium at ultra-trace environmental levels. Effective monitoring of tritium is of high value for the Intelligence Community (IC) because of its use in state-of-the-art nuclear weapon systems to increase a...
The IARPA HAYSTAC program aims to develop novel capabilities to generate large scale microsimulations of fine-grained human movement and create AI reasoning engines capable of both identifying abnormal movement trajectories and generating normal ones. IARPA seeks technical approaches that will characterize what makes a given activity...
The Intelligence Advanced Research Projects Activity (IARPA) seeks information regarding innovative approaches to detect and identify aerosolized chemicals of interest, such as chemical warfare agents (CWAs), explosives, toxins/pollutants, and pharmaceutical-based agents (PBAs). The need to...
HIATUS BAA The HIATUS program seeks to develop novel human-useable systems for attributing authorship and protecting author privacy through identification and leveraging of explainable linguistic fingerprints. HIATUS Performers will focus on three task areas (TAs). The program will develop novel methods to...
HAYSTAC aims to establish models of “normal” human movement across times, locations, and people in order to characterize what makes an activity detectable as anomalous within the expanding corpus of global human trajectory data. Success will establish the scientific foundation connecting data, movement, and the expectation of...
Ashwini Deshpande joined IARPA in January of 2022. In her current assignment as a Program Manager, Mrs. Deshpande focuses on areas of scientific research that includes computer vision, machine learning, and image processing. She is presently leading IARPA's efforts on the WRIVA...
Dr. Alexis Truitt joined IARPA in January of 2022. In her current assignment as a Program Manager, Dr. Truitt focuses on areas of scientific research that includes astrodynamics, plasma physics, imaging science, and space situational awareness. She is presently leading...
IARPA seeks information regarding innovative approaches to detect and track currently undetectable orbital space debris. Orbital debris collisions are a significant risk to Earth-orbiting spacecraft. With an average impact velocity of 10 km/s (22,500 MPH) in low Earth orbit (LEO), even the smallest pieces of debris can cause serious...
C4ISRNET - The intelligence community now has a tool that allows English-speaking users to search through foreign language text and speech for information. The solution is part of IARPA’s Machine Translation for English Retrieval of Information in Any Language, or MATERIAL, program, launched in...
Satellites have been around for a long time. Ever since the Soviet Union launched the world’s first satellite, Sputnik, in 1957, dramatic advancements in satellite technology have increased governments’ ability to survey the earth in exquisite detail, communicate, and, of course, conduct reconnaissance. Yet, though satellites have...
The HIATUS program aims to develop novel human-useable systems for attributing authorship and protecting author privacy. Authorship attribution capabilities address many Intelligence Community (IC) needs, including combating sophisticated malicious information campaigns online and identifying counterintelligence risks. Authorship privacy...
HIATUS seeks to develop novel human-useable AI systems for attributing authorship and protecting author privacy through identification and leveraging of explainable linguistic fingerprints.The program will develop novel techniques to generate representations that capture author-level linguistic variation and will use these representations to build...
