category: Research

category: IoT, Security & Automotive

System Bits: April 16
By Jeff Dorsch - 16 Apr, 2019 - Comments: 0

Characterizing 2D borophene Researchers at Rice and Northwestern universities collaborated on a method to view the polymorphs of 2D borophene crystals, providing insights into the lattice configurations of the two-dimensional material. Boris Yakobson, a materials physicist at Rice’s Brown School of Engineering, and materials scientist Mark Hersam of Northwestern led a team that not only d... » 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

Manufacturing Bits: April 8
By Mark LaPedus - 08 Apr, 2019 - Comments: 0

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

System Bits: April 8
By Jeff Dorsch - 08 Apr, 2019 - Comments: 0

Computers trained to design materials Researchers in the University of Missouri’s College of Engineering are applying deep learning technology to educate high-performance computers in the field of materials science, with the goal of having those computers design billions of potential materials. “You can train a computer to do what it would take many years for people to otherwise do,” ... » 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

Manufacturing Bits: April 2
By Mark LaPedus - 02 Apr, 2019 - Comments: 0

Bright particle accelerators The High Energy Accelerator Research Organization (KEK) has reached a major milestone in the world’s most luminous or brightest particle accelerator. KEK has recently made the first physics run in the SuperKEKB, a storage ring that combines an electron-positron collider with a new and advanced detector. Electron-positron collisions have restarted at the SuperK... » 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

System Bits: April 2
By Jeff Dorsch - 02 Apr, 2019 - Comments: 0

Transparent film is stronger than aluminum Professor Ton Peijs of WMG at the University of Warwick and Professor Cees Bastiaansen at Queen Mary University of London came up with a new processing technique that produces a transparent polythene film said to be stronger than aluminum. The film could be used in displays, glazing, visors, and windshields, without adding significant weight. The d... » read more

Manufacturing Bits: March 26
By Mark LaPedus - 26 Mar, 2019 - Comments: 0

ALD materials database Atomic Limits, a blog site that addresses atomic-level processing technologies, has developed an online database listing all atomic layer deposition (ALD) materials and processes. The database could be useful for ALD processes in semiconductors and other fields. ALD is a deposition technique that deposits materials one layer at a time. In ALD systems, wafers are place... » read more

System Bits: March 26
By Jeff Dorsch - 26 Mar, 2019 - Comments: 0

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

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