category: Research: LPHP

category: IoT, Security & Automotive

Power/Performance Bits: March 23
By Jesse Allen - 23 Mar, 2021 - Comments: 0

Metasurface for optical media Researchers at Purdue University proposed a new way to store information in optical media, such as CDs and DVDs, that could improve both storage capacity and read times. The development focuses on encoding information in the angular position of tiny antennas, allowing them to store more data per unit area. "The storage capacity greatly increases because it is o... » read more

Power/Performance Bits: March 16
By Jesse Allen - 16 Mar, 2021 - Comments: 0

Adaptable neural nets Neural networks go through two phases: training, when weights are set based on a dataset, and inference, when new information is assessed based on those weights. But researchers at MIT, Institute of Science and Technology Austria, and Vienna University of Technology propose a new type of neural network that can learn during inference and adjust its underlying equations to... » read more

Power/Performance Bits: March 8
By Jesse Allen - 08 Mar, 2021 - Comments: 0

Non-toxic, printable piezoelectric Researchers at RMIT University and University of New South Wales developed a flexible and printable piezoelectric material that could be used in self-powered electronics including wearables and implantables. "Until now, the best performing nano-thin piezoelectrics have been based on lead, a toxic material that is not suitable for biomedical use," said Dr N... » read more

Power/Performance Bits: March 2
By Jesse Allen - 02 Mar, 2021 - Comments: 0

Fast-charging EV battery Electric vehicle adoption faces challenges from consumers' range anxiety and the extended lengths of time needed to charge a car's battery. Researchers at Pennsylvania State University are trying to address this by developing lithium iron phosphate EV batteries that have a range of 250 miles with the ability to charge in 10 minutes. It also is expected to have a lifeti... » read more

Power/Performance Bits: Feb. 23
By Jesse Allen - 23 Feb, 2021 - Comments: 0

Photonic AI accelerator There are now many processors and accelerators focused on speeding up neural network performance, but researchers at the University of Münster, University of Oxford, Swiss Federal Institute of Technology Lausanne (EPFL), IBM Research Europe, and University of Exeter say AI processing could happen even faster with the use of photonic tensor processors that can handle mu... » read more

Power/Performance Bits: Feb. 16
By Jesse Allen - 16 Feb, 2021 - Comments: 0

Superconducting microprocessor Researchers at Yokohama National University created a superconducting processor with zero electrical resistance. Huge amounts of power are being used by computers today, and compared to the human brain, they are many orders of magnitude less efficient. Superconductors have been a popular approach to making computers more efficient, but this requires extreme co... » read more

Power/Performance Bits: Feb. 8
By Jesse Allen - 08 Feb, 2021 - Comments: 0

Transparent sensor Researchers at Osaka University created a thin, flexible, transparent sensor using silver nanowire networks. High-resolution printing was used to fabricate the centimeter-scale cross-aligned silver nanowire arrays, with reproducible feature sizes from 20 to 250 micrometers. As a proof-of-concept for functionality, they used their arrays to detect electrophysiological signals... » read more

Power/Performance Bits: Feb. 2
By Jesse Allen - 02 Feb, 2021 - Comments: 0

MXene antennas Researchers at Drexel University and Villanova University developed spray-on antennas made of the 2D materials MXene that is flexible and light while maintaining good signal. "This combination of communications performance with extreme thinness, flexibility and durability sets a new standard for antenna technology," said Yury Gogotsi, professor of Materials Science and Engine... » read more

Power/Performance Bits: Jan. 26
By Jesse Allen - 26 Jan, 2021 - Comments: 0

Neural networks on MCUs Researchers at MIT are working to bring neural networks to Internet of Things devices. The team's MCUNet is a system that designs compact neural networks for deep learning on microcontrollers with limited memory and processing power. MCUNet is made up of two components. One is TinyEngine, an inference engine that directs resource management. TinyEngine is optimized t... » read more

Power/Performance Bits: Jan. 19
By Jesse Allen - 19 Jan, 2021 - Comments: 0

Electronic skin for health tracking Researchers at the University of Colorado Boulder developed a stretchy electronic 'skin' that can perform the tasks of wearable fitness devices such as tracking body temperature, heart rate, and movement patterns. "Smart watches are functionally nice, but they're always a big chunk of metal on a band," said Wei Zhang, a professor in the Department of Chem... » read more

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