category: Research: LPHP

category: IoT, Security & Automotive

Power/Performance Bits: Feb. 26
By Jesse Allen - 26 Feb, 2019 - Comments: 0

Integrated RRAM for edge AI Researchers at CEA-Leti and Stanford University have developed the first circuit integrating multiple-bit non-volatile Resistive RAM (RRAM) with silicon computing units, as well as new memory resiliency features that provide 2.3-times the capacity of existing RRAM. The proof-of-concept chip monolithically integrates two heterogeneous technologies: 18KB of on-chip... » read more

Power/Performance Bits: Feb. 19
By Jesse Allen - 19 Feb, 2019 - Comments: 0

Flexible energy harvesting rectenna Researchers from MIT, Universidad Politécnica de Madrid, University Carlos III of Madrid, Boston University, University of Southern California, and the Army Research Laboratory created a flexible rectenna capable of converting energy from Wi-Fi signals into electricity to power small devices and sensors. The device uses a flexible RF antenna to capture e... » read more

Power/Performance Bits: Feb. 11
By Jesse Allen - 11 Feb, 2019 - Comments: 0

Body heat harvesting Chemists at the University of Massachusetts Amherst developed a fabric that can harvest body heat to power small wearable electronics such as activity trackers. The device works on the thermoelectric effect created by body temperature and ambient cooler air. "What we have developed is a way to inexpensively vapor-print biocompatible, flexible and lightweight polymer fil... » read more

Power/Performance Bits: Feb. 5
By Jesse Allen - 05 Feb, 2019 - Comments: 0

Photonic-magnetic memory Researchers at the Eindhoven University of Technology (TU/e) have developed a hybrid photonic-magnetic memory device that takes advantage of the speed of optical writing and stability of magnetic drives. "All-optical switching for data storage has been known for about a decade. When all-optical switching was first observed in ferromagnetic materials - amongst the mo... » read more

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

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

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

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

Power/Performance Bits: Jan. 2
By Jesse Allen - 02 Jan, 2019 - Comments: 0

High-temp electronics Researchers at Purdue University, UC Santa Cruz, and Stanford developed a semiconducting plastic capable of operating at extreme temperatures. The new material, which combines both a semiconducting organic polymer and a conventional insulating organic polymer could reliably conduct electricity in up to 220 degrees Celsius (428 F). "One of the plastics transports the ch... » read more

Power/Performance Bits: Dec. 26
By Jesse Allen - 26 Dec, 2018 - Comments: 0

2nm memristors Researchers at the University of Massachusetts Amherst and Brookhaven National Laboratory built memristor crossbar arrays with a 2nm feature size and a single-layer density up to 4.5 terabits per square inch. The team says the arrays were built with foundry-compatible fabrication technologies. "This work will lead to high-density memristor arrays with low power consumption fo... » read more

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