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. 

Heiko Hoffmann explains the HRL patent Device and method to automatically tune the nerve stimulation pattern of a sensory-feedback capable prosthesis.

HRL has developed a computer model of human associative memory that surpasses previous models in accuracy while avoiding the common problem of false memories that plagued earlier such models.

HRL Laboratories has been awarded the Swift Alkali Vapor Emitter & Regulator (SAVER) Project to build a key component for future cold-atom clocks and other future systems of ultra-precise position, navigation, and timing (PNT). SAVER will build upon HRL’s previous success building a source of atoms for cold-atom–based devices such as in portable atomic clocks.

Jocelyn Hicks-Garner explains the HRL patent Methods of Making Cathodes for Aluminum Batteries that could lead to much longer lasting batteries.