DARPA Program Aims to Revolutionize Large Space Structures by Developing New Techniques for on Orbit Manufacturing
A new software system developed by HRL Laboratories will enable open-source intelligence analysts to track down adversarial activity through complex networks of networks worldwide.
HRL Laboratories has reached the second phase of its novel system aimed to give autonomous systems such as self-driving cars artificial intelligence the ability to learn new tasks and preserve experience without losing or displacing previous learning—features not possible with current AI systems.
HRL Laboratories, LLC, scientists and engineers are taking on the challenge of developing sensors that are doubly-curved, like a bowl, under a new program from the Defense Advanced Research Project Agency (DARPA) sighted on the advancement of infrared (IR) vision. Such curved photographic sensors can enhance clarity throughout an image by bringing its corners into equal focus and brightness as the center.
HRL Laboratories will design architected materials to be used on the leading edges of hypersonic aircraft as part of the Materials Architectures and Characterization for Hypersonics or MACH program from DARPA. Hypersonic vehicles fly at least five times the speed of sound. Leading edges are essential design features because they enable long-range travel at extremely high velocities while maintaining vehicle maneuverability.
HRL Laboratories Complex Analytics of Network of Networks (CANON) system has achieved its second phase in the Modeling Adversarial Activity program, funded by the Defense Advanced Research Project Agency. CANON is a set of software tools that can “do the math” for intelligence analysts looking for activity directed by adversaries. Using integrated information from networks of networks, CANON analyzes and flags questionable adversarial activity.
HRL Laboratories, LLC, researchers have published results showing that targeted transcranial electrical stimulation during slow-wave sleep can improve metamemories of specific episodes by 20% after only one viewing of the episode, compared to controls. The same technology may offer a non-invasive treatment to mitigate bad memories that might cause post-traumatic stress disorder (PTSD). Metamemory describes the sensitivity of whether memories are recalled accurately or not, such as during eyewitness testimony.
HRL Laboratories, LLC, is completing development of wafer-scale infrared focal plane arrays that will dramatically reduce the size and cost of infrared or IR cameras. HRL was selected to carry on Phase III of the Defense Advanced Research Project Agency’s program Wafer-scale Infrared Detectors or WIRED.
HRL Laboratories tests its Expressive Assurance Case Toolkit (ExACT) in an autonomous M-RZR vehicle as part of the Assured Autonomy program sponsored by the Defense Advanced Research Project Agency (DARPA). The system can analyze AI-based systems to find or prevent safety failures, computing the circumstances that could avoid bad outcomes.
HRL Laboratories, LLC, has launched an ambitious project to develop a machine learning system that leverages knowledge of a set of labeled data onto a new unlabeled data set the way a child can recognize a zebra while only having ever seen a horse, but being told that zebras look like striped horses.