Learning properties of ordered and disordered materials from multi-fidelity data


Source: Chen, C., Zuo, Y., Ye, W. et al. Learning properties of ordered and disordered materials from multi-fidelity data. Nat Comput Sci 1, 46–53 (2021). https://doi.org/10.1038/s43588-020-00002-x Abstract: "Predicting the properties of a material from the arrangement of its atoms is a fundamental goal in materials science. While machine learning has emerged in recent years as a n... » read more

System Bits: Sept. 3


Microprocessor built with carbon nanotubes Researchers at the Massachusetts Institute of Technology were able to design a microprocessor with carbon nanotubes and fabricate the chip with traditional processes, an advance that could be used in next-generation computers. Work on producing carbon nanotube field-effect transistors has gone on for some time. Fabricated at scale, those CNFETs oft... » read more

System Bits: July 10


Light waves run on silicon-based chips Researchers at the University of Sydney’s Nano Institute and Singapore University of Technology and Design collaborated on manipulating light waves on silicon-based microchips to keep coherent data as it travels thousands of miles on fiber-optic cables. Such waves—whether a tsunami or a photonic packet of information—are known as solitons. The... » read more

Will Open-Source EDA Work?


Open-source EDA is back on the semiconductor industry's agenda, spurred by growing interest in open-source hardware. But whether the industry embraces the idea with enough enthusiasm to make it successful is not clear yet. One of the key sponsors of this effort is the U.S. Defense Advanced Research Projects Agency (DARPA), which is spearheading a number of programs to lower the cost of chip ... » read more

Machine Learning Based Prediction: Health Behavior on BP


Source: UC San Diego Jacobs School of Engineering, Po-Han Chiang and Sujit Dey, Mobile Systems Design Lab, Dept. of Electrical and Computer Engineering Using wearable off-the-shelf technology and machine learning, UC San Diego researchers have developed a method to predict an individual’s blood pressure and provide personalized recommendations to lower it based on this data. The researc... » read more

System Bits: July 31


Computers that perceive human emotion As part of the growing field of “affective computing,” MIT researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. Affective computing uses robots and computers to analyze facial expressions, interpret emotions, and respond accordingly. Applications include, for ... » read more

System Bits: June 19


ML algorithm 3D scan comparison up to 1,000 times faster To address the issue of medical image registration that typically takes two hours or more to meticulously align each of potentially a million pixels in the combined scans, MIT researchers have created a machine-learning algorithm they say can register brain scans and other 3D images more than 1,000 times more quickly using novel learning... » read more

System Bits: Oct. 3


Polariton graphs In a development that a team of researchers from the UK and Russia say could eventually surpass the capabilities of even the most powerful supercomputers, a type of ‘magic dust’ — which combines light and matter — can be used to solve complex problems. Hailing from the University of Cambridge, University of Southampton and Cardiff University in the UK and the Skolk... » read more

System Bits: July 25


The language of glove In a development that allows the gestures in American Sign Language to be decoded, University of California San Diego researchers have developed a smart glove that also has application in virtual and augmented reality to telesurgery, technical training and defense. [caption id="attachment_232228" align="alignnone" width="300"] "The Language of Glove": a smart glove that ... » read more

System Bits: July 3


VW emissions tests cheat code found A team of researchers from UC San Diego, Ruhr University along with an independent researcher has uncovered the mechanism that Volkswagen used to circumvent U.S. and European emission tests over a period of at least six years before the EPA put the company on notice in 2015 for violating the Clean Air Act. The researchers found the code that allowed onboa... » read more

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