HRL Laboratories, LLC, joins DARPA’s Lifelong Learning Machines (L2M) program to develop a breakthrough in machine-learning architectures for autonomous systems that will continually improve performance and update their knowledge based on experience, without human supervision.
HRL Laboratories, LLC, will join the Defense Advanced Research Project Agency (DARPA) in its Autonomy Assurance (AA) program with the Expressive Assurance Case Toolkit (ExACT), a set of algorithmic tools that will mathematically verify that the autonomous driving system’s algorithms are correct and safe.
HRL Laboratories, LLC, computer scientists have found that computer models of a phenomenon in the brain called self-organized criticality (SOC) can be used to calculate optimal conditions within complex networks.
HRL Laboratories researchers will track down weapons of mass terrorism (WMTs) using Complex Analytics of Network of Networks (CANON), a novel computerized framework and software to produce high-confidence WMT indicators and warnings.