category: Research: LPHP

category: IoT, Security & Automotive

Power/Performance Bits: May 6
By Jesse Allen - 06 May, 2019 - Comments: 0

Compressing objects Computer scientists at MIT propose a way to improve data compression in memory by focusing on objects rather than cache lines. "The motivation was trying to come up with a new memory hierarchy that could do object-based compression, instead of cache-line compression, because that's how most modern programming languages manage data," said Po-An Tsai, a graduate student at... » read more

Power/Performance Bits: April 30
By Jesse Allen - 30 Apr, 2019 - Comments: 0

Printed supercapacitors Researchers at Drexel University and Trinity College created ink for an inkjet printer from MXene, a highly conductive two-dimensional material, which could be used to print flexible energy storage components, such as supercapacitors, in any size or shape. The material shows promise as an ink thanks to its high conductivity and ability to apply easily to surfaces usi... » read more

Power/Performance Bits: April 23
By Jesse Allen - 23 Apr, 2019 - Comments: 0

Tiny spectrometer Engineers at the University of Wisconsin-Madison, Sandia National Laboratories, and Huazhong University of Science and Technology developed a miniature spectrometer small enough to integrate with the camera on a typical cellphone without sacrificing accuracy. This miniature sensor is CMOS compatible. "This is a compact, single-shot spectrometer that offers high resolution ... » read more

Power/Performance Bits: April 16
By Jesse Allen - 16 Apr, 2019 - Comments: 0

Faster CNN training Researchers at North Carolina State University developed a technique that reduces training time for deep learning networks by more than 60% without sacrificing accuracy. Convolutional neural networks (CNN) divide images into blocks, which are then run through a series of computational filters. In training, this needs to be repeated for the thousands to millions of images... » read more

Power/Performance Bits: April 8
By Jesse Allen - 08 Apr, 2019 - Comments: 0

Predicting battery life Researchers at Stanford University, MIT, and Toyota Research Institute developed a machine learning model that can predict how long a lithium-ion battery can be expected to perform. The researchers' model was trained on a few hundred million data points of batteries charging and discharging. The dataset consists of 124 commercial lithium iron phosphate/graphite cells... » read more

Power/Performance Bits: April 2
By Jesse Allen - 02 Apr, 2019 - Comments: 0

DNA programming Computer scientists at California Institute of Technology, University of California, Davis, Maynooth University, and Harvard University created a library of DNA molecules that can self-assemble to compute a variety of algorithms. Each molecule represents a six-bit binary number. The library created by the team is made up of around 700 short pieces, or tiles, of DNA. Each DNA... » read more

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

Material holds both electrons, holes Researchers at Ohio State University discovered a material that can hold both electrons and holes. They hope the material, the layered metal crystal NaSn2As2, could simplify electronics, potentially removing the need for multiple layers or materials. "It is this dogma in science, that you have electrons or you have holes, but you don't have both. But our... » read more

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

Explainable AI Researchers from Technische Universität Berlin (TU Berlin), Fraunhofer Heinrich Hertz Institute (HHI), and Singapore University of Technology and Design (SUTD) propose a pair of algorithms to help determine how AI systems reach their conclusions. Explainable AI is an important step towards practical applications, argued Klaus-Robert Müller, Professor for Machine Learning at... » read more

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

Reading qubits faster Researchers at Aalto University and VTT Technical Research Centre of Finland propose a faster way to read information from qubits, the building blocks of quantum computers. Currently, they are extremely sensitive to disruption even in cryogenic environments, holding quantum information for less than a millisecond. In the method now used to read information from a qubit... » read more

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

Solar chemical manufacturing Researchers at RMIT University, CSIRO Manufacturing, and University of Melbourne developed a nano-enhanced material that can capture 99% of light and use it to power chemical reactions. One of the world's biggest energy users, the chemical manufacturing industry accounts for about 10% of global energy consumption and 7% of industrial greenhouse gas emissions. In th... » read more

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