category: Research

category: IoT, Security & Automotive

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

System Bits: April 30
By Jeff Dorsch - 30 Apr, 2019 - Comments: 0

Future batteries could use a graphene sponge Researchers at Sweden’s Chalmers University of Technology devised a porous, sponge-like aerogel, made of reduced-graphene oxide, to serve as a freestanding electrode in the battery cell. This utilization has the potential to advance lithium sulfur batteries, which are said to possess a theoretical energy density about five times greater than lithi... » read more

Manufacturing Bits: April 23
By Mark LaPedus - 23 Apr, 2019 - Comments: 0

Sorting nuclei CERN and GSI Darmstadt have begun testing the first of two giant magnets that will serve as part of one of the largest and most complex accelerator facilities in the world. CERN, the European Organization for Nuclear Research, recently obtained two magnets from GSI. The two magnets weigh a total of 27 tons. About 60 more magnets will follow over the next five years. These ... » 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

System Bits: April 23
By Jeff Dorsch - 23 Apr, 2019 - Comments: 0

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

Manufacturing Bits: April 16
By Mark LaPedus - 16 Apr, 2019 - Comments: 0

Water that won’t freeze ETH Zurich and the University of Zurich have developed water that doesn’t freeze at cold temperatures. Using various molecules with water, researchers have been able to cool the substance down to minus 263 degrees Celsius. Even then, there were no ice crystals formed in the substance. This technology could be used to develop new biomolecules and membranes for ... » read more

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

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