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All-Memristor Architecture Could Enable Brain-Like Computers

HRL Laboratories, LLC, will leverage electronic brain-cell technology for a new computer architecture that promises more compact, energy-efficient, and capable systems. The program is part of the Defense Advanced Research Projects Agency program Foundations Required for Novel Compute (FRANC).


STELLAR System Will Enable Autonomous Systems to Learn for Life

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 Employees’ Experience Touches Down on Mars

Before they were at HRL Laboratories, staff member Kayleigh Porter and intern Victor Ardulov worked on technologies for NASA’s Mars Curiosity rover that is currently exploring the surface of Mars. Porter 3D-printed ceramic parts for Curiosity’s SAM suite of tools and Ardulov was an undergrad intern at NASA’s Jet Propulsion Laboratory working on a virtual reality tool for mission planning.


Aligning Nanoparticles to Create Dense Materials

HRL Laboratories has successfully demonstrated a scalable, water-based nanoassembly manufacturing technique with many possible uses, including growing powerful rare-earth-free magnets and infrared optical materials. The new method is a bench-top task and is scalable to industrial manufacturing volumes.


A Step Toward Revolutionary Computing by Improving Topological Material

HRL Laboratories, LLC, hopes to advance the vast potential of two-dimensional topological materials for quantum computation. With an award from DARPA, this project—Suppressing Trivial Edge Conductance in 2D Topological Materials—will take a step closer to development of topological qubits that keep fragile quantum information safe from environmental effects.



The ExACT Tools for Safe Autonomy

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.