HRL Laboratories’ new chip-based gyroscopes and accelerometers enable position, navigation, and timing equal to GPS even when satellite signals are obstructed by buildings or terrain.
HRL Additive, a new commercial effort by HRL Laboratories, LLC, has secured the first commercial sale of its groundbreaking 7A77 high-strength aluminum 3D-printing powder to NASA’s Marshall Space Flight Center. The production plant is dedicated to producing the printable aluminum powder, designated as 7A77, the first additive feedstock registered by the Aluminum Association.
HRL Laboratories, LLC, leadership and staff are pleased to welcome Kourosh Hadi, Boeing’s Director of Commercial Airplane Product Development, to its Board of Directors.
Since 2012, Hadi has been responsible for development of all new and derivative Boeing airplanes. He also oversees advanced concepts, technology integration, and competitor airplane analysis. He also has been working with the University of Washington William E. Boeing Department of Aeronautical and Astronautical Engineering since 2007 as the Boeing focal executive.
HRL Computer scientists are working with the Office of Naval Research on the new software system that will provide Navy personnel with fast and explainable recommendations to aid command decision-making by reducing stress and mental workload, and increasing efficiency of logistics personnel.
HRL Laboratories, LLC, Researchers Jim Schaffner and Jae Song of HRL’s Materials and Microsystems Laboratory shared in the TI Best student Interactive Presentation Paper award presented at the IEEE 68th Electronic Components and Technology Conference. The paper presented was Copper Transparent Antennas on Flexible Glass by Subtractive and Semi-Additive Fabrication for Automotive Applications.
The paper presented was Copper Transparent Antennas on Flexible Glass by Subtractive and Semi-Additive Fabrication for Automotive Applications.
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.
Scientists at HRL Laboratories have published their new framework for training computer deep neural networks to be able to classify synthetic aperture radar (SAR) images without a large labeled data set, solving the problem of SAR image identification when only a few labeled data were available.
The modern microprocessor is among the world’s most complex systems, but at its heart is a very simple, and we think beautiful, device: the transistor. There are billions of them in a microprocessor today, and they are nearly all identical. So improving the performance and boosting the density of these transistors is the most straightforward way to make microprocessors—and the computers they power—work better.
The Chicago Quantum Exchange, a growing intellectual hub for the research and development of quantum technology, has expanded its community to include new industry partners working at the forefront of quantum technology and research. These corporate partners are Boeing, Applied Materials, Inc., ColdQuanta, Inc., HRL Laboratories LLC and Quantum Opus LLC.
Current HRL scientists Mike Daily and Dave Payton are pioneers in modern robotics, artificial intelligence, machine learning, and autonomy to name just a few of their areas of expertise.