Power/Performance Bits: May 6


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

System Bits: April 23


AI tool can clean up dirty data Researchers at the University of Waterloo, collaborating with colleagues at the University of Wisconsin and Stanford University, came up with HoloClean, an artificial intelligence tool to comb through dirty data and to detect information errors. “More and more machines are making decisions for us, so all our lives are touched by dirty data daily,” said Ih... » read more

Power/Performance Bits: April 16


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

Manufacturing Bits: April 8


Designing metamaterials Sandia National Laboratories has developed an inverse-design software technology that automates the design of optical metamaterials. Metamaterials are artificial materials containing arrays of metal nanostructures or mega-atoms. Some metamaterials are able to bend light around objects, rendering them invisible. But they only interact with light over a very narrow ran... » read more

Power/Performance Bits: April 8


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

System Bits: March 26


Swear to tell the truth Lots of lies are told on the Internet. Shuyuan Ho of Florida State University wants to unveil those falsehoods with an online polygraph. “The future of my research is an online polygraph that could be used many different ways,” said Ho, an associate professor in the College of Communication and Information. “You could use it for online dating, Facebook, Twitter... » read more

System Bits: March 11


Cryptography IC for the IoT Massachusetts Institute of Technology researchers report their development of a cryptographic circuit that could be used to protect low-power Internet of Things devices when quantum computing takes hold. [caption id="attachment_24144905" align="alignleft" width="300"] Image Credit: MIT[/caption] The research team presented a paper at the 2019 International Sol... » read more

Manufacturing Bits: Feb. 26


Vitamin C chips Using vitamin C, Rice University has developed a process that turns gold nanorods into small gold nanowires. Nanorods are a type of structure, while nanowires are simply tiny wires. With the technology, Rice is able to produce nanowires with various lengths. These can be used in electronics as well as light-manipulating applications like plasmons. A “plasmon is a quantum o... » read more

System Bits: Feb. 19


Eco-friendly material for wireless IoT sensors Researchers at Canada’s Simon Fraser University and in Switzerland collaborated on developing a wood-derived cellulose material that could be used in a 3D printer, instead of the customary plastic and polymeric materials for electronics. With 3D printing, the material can offer flexibility to add or embed functions onto 3D shapes or fabrics, the... » read more

Power/Performance Bits: Feb. 19


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

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