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...
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 environment...
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...
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...
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 rapidly identify aerosols is vital to national...
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 generate a stylistic feature...
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 program that aims to develop algorithmic...
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's efforts on the SINTRA program that aims to detect, track,...
NextGov - The intelligence community’s research arm is preparing to develop new artificial intelligence systems that can identify who, or what, authored any specific text—and on the flip side, advanced systems targeting features to protect authors’ privacy.
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 damage, as...
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...
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....
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...
The MicroE4AI program aims to drive innovations in hardware/ software and algorithm-architecture that improve the performance of Artificial Intelligence (AI) and Machine Learning (ML) applications packaged in highly efficient, edge-capable microelectronic devices. Additionally, MicroE4AI seeks to...
When most people think of data-storage, what likely comes to mind is the “cloud,” as in cloud storage. For some, the cloud may entertain notions of an amorphous, semi-mysterious location floating in the air where emails, photos, videos, and documents magically reside. In reality, cloud storage is merely...
There’s data all around us, invisibly flying at light speed from more locations to more destinations than anyone can count. These data, in the form of radio frequency (RF) signals, are sent by billions of mobile phones, radios, beepers and other devices that make-up modern society’s communications footprint. As important as data...
