category: Research

category: IoT, Security & Automotive

Power/Performance Bits: Jan. 29
By Jesse Allen - 29 Jan, 2019 - Comments: 0

Neural nets struggle with shape Cognitive psychologists at the University of California Los Angeles investigated how deep convolutional neural networks identify objects and found a big difference between the way these networks and humans perceive objects. In the first of a series of experiments, the researchers showed color images of animals and objects that had been altered to have a diffe... » read more

Manufacturing Bits: Jan. 22
By Mark LaPedus - 22 Jan, 2019 - Comments: 1

Open-source CVD Boise State University has developed an inexpensive chemical vapor deposition (CVD) system to enable the growth of two-dimensional (2D) materials. Using open-source designs and off-the-shelf components, researchers have developed an automated CVD system for $30,000 in hardware costs, according to Boise State in the journal PLoS One. 2D materials could enable a new class ... » read more

System Bits: Jan. 22
By Jeff Dorsch - 22 Jan, 2019 - Comments: 0

Toward more trusted microelectronics David Crandall, an associate professor in Indiana University Bloomington’s School of Informatics, Computing and Engineering, is collaborating with other researchers through the Indiana Innovation Institute (IN3) to work on technology challenges for private industry and the U.S. Department of Defense. Crandall is currently tackling trusted microelectron... » read more

Power/Performance Bits: Jan. 22
By Jesse Allen - 22 Jan, 2019 - Comments: 0

Efficient neural net training Researchers from the University of California San Diego and Adesto Technologies teamed up to improve neural network training efficiency with new hardware and algorithms that allow computation to be performed in memory. The team used an energy-efficient spiking neural network for implementing unsupervised learning in hardware. Spiking neural networks more closel... » read more

Manufacturing Bits: Jan. 14
By Mark LaPedus - 14 Jan, 2019 - Comments: 0

Tracking cell movement Using a technology called cyro-electron microscopy (cryo-EM), Sanford Burnham Prebys Medical Discovery Institute (SBP) and the University of North Carolina at Chapel Hill (UNC-Chapel Hill) have gained a better understanding of how cells move in living organisms. Cells, the basic building blocks of living things, need to move. Moving cells help enable embryonic develop... » read more

System Bits: Jan. 14
By Jeff Dorsch - 14 Jan, 2019 - Comments: 0

Integrated photonics platform Researchers at Harvard’s John A. Paulson School of Engineering and Applied Sciences came up with an integrated photonics platform capable of storing light and electrically controlling its frequency or color through a microchip. Mian Zhang, first author of the resulting paper, says, “Many quantum photonic and classical optics applications require shifting of op... » read more

Power/Performance Bits: Jan. 14
By Jesse Allen - 14 Jan, 2019 - Comments: 0

Optical memory Researchers at the University of Oxford, University of Exeter, and University of Münster propose an all-optical memory cell that can store more optical data, 5 bits, in a smaller space than was previously possible on-chip. The optical memory cell uses light to encode information in the phase change material Ge2Sb2Te5. A laser causes the material to change between ordered and... » read more

Manufacturing Bits: Jan. 8
By Mark LaPedus - 08 Jan, 2019 - Comments: 0

Atom interferometry NASA and AOSense have demonstrated a prototype quantum sensor that uses a measurement technique called atom interferometry. The technology could one day enable more accurate gravitational measurements, climate-monitoring missions in space and other applications. Originally developed in the 1980s, atom interferometry is like today’s optical interferometry. Used in sc... » read more

System Bits: Jan. 8
By Jeff Dorsch - 08 Jan, 2019 - Comments: 0

Measure twice, cut once University of Texas Southwestern Medical Center researchers are working with a robotic device that can perform laparoscopic surgery through a single incision, an operation that typically requires five or six small incisions. The device is called the SP Robot, developed by Intuitive Surgical. It features four arms that go into the body through a 1-inch incision. UT South... » read more

Power/Performance Bits: Jan. 8
By Jesse Allen - 08 Jan, 2019 - Comments: 0

Ferrimagnetic memory Engineers at the National University of Singapore, Toyota Technological Institute, and Korea University propose a new type of spintronic memory that is 20 times more efficient and 10 times more stable than commercial ones. In spintronic devices, data is stored depending on up or down magnetic states. Current devices based on ferromagnets, however, suffer from a few issu... » read more

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