category: Research

category: Auto, Security & Edge AI

Power/Performance Bits: July 3
By Jesse Allen - 03 Jul, 2018 - Comments: 0

Graphene foam devices Scientists at Rice University developed a method for building conductive, three-dimensional objects out of graphene foam, which they say could offer new possibilities for energy storage and flexible electronic sensor applications. The same lab initially created laser-induced graphene, or LIG, in 2014. The process involves heating inexpensive polyimide plastic sheets wi... » read more

Manufacturing Bits: June 26
By Mark LaPedus - 26 Jun, 2018 - Comments: 0

Gummy bear chips The Technical University of Munich (TUM) and Forschungszentrum Jülich have developed a 3D inkjet printing technique to print electrodes on several soft substrates, including gummy bears. The main application is to develop a new class of sensor-based implants for life sciences. For this application, electrodes or microelectrode arrays (MEAs) are developed and printed on sof... » read more

Power/Performance Bits: June 26
By Jesse Allen - 26 Jun, 2018 - Comments: 0

Organic pigment for optoelectronics Researchers at Oregon State University are investigating xylindein, an organic pigment produced by fungi, to find low-cost, sustainable alternatives to silicon in electronic or optoelectronic applications where the high-performance capabilities of silicon aren't required. Xylindien is secreted by two wood-eating fungi in the Chlorociboria genus. Any wood ... » read more

System Bits: June 26
By Ann Mutschler - 26 Jun, 2018 - Comments: 0

I’m enjoying a very busy Design Automation Conference this week in San Francisco, and on the lookout for interesting research topics here. In the meantime, enjoy a few interesting items from around the globe. AI platform diagnoses Zika and other pathogens University of Campinas (UNICAMP) researchers in Brazil have developed an AI platform that can diagnose several diseases with a high deg... » read more

Manufacturing Bits: June 19
By Mark LaPedus - 19 Jun, 2018 - Comments: 0

Cellulose nanopaper The Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences in China has developed a new type of cellulose nanopaper (CNP). CNP is a renewable material with good mechanical and optical properties. Potentially, CNP could be used in several applications, such as electronic devices, visual display substrates, batteries and barrie... » read more

Power/Performance Bits: June 19
By Jesse Allen - 19 Jun, 2018 - Comments: 0

Tandem solar reaches 25.2% efficiency In the push for ever-more efficient solar panels, researchers are turning to tandem, or double-junction, photovoltaics. Tandem solar panels use two different types of solar cell capable of absorbing different wavelengths of light stacked on top of each other to maximize the conversion of light rays into electrical power. Recently, two groups have reache... » read more

System Bits: June 19
By Ann Mutschler - 19 Jun, 2018 - Comments: 0

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

Manufacturing Bits: June 12
By Mark LaPedus - 12 Jun, 2018 - Comments: 0

Elastic diamonds A group has developed a way to make elastic diamonds, enabling tiny diamond needles that can flex and stretch. Ulsan National Institute of Science and Technology (UNIST), the Massachusetts Institute of Technology (MIT), the City University of Hong Kong and Nanyang Technological University have developed a process that enables elastic diamonds. Elastic diamonds could one day... » read more

System Bits: June 12
By Ann Mutschler - 12 Jun, 2018 - Comments: 0

Writing complex ML/DL analytics algorithms Rice University researchers in the DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on ‘big data’ platforms like Spark and thought: “Isn’t there a better way?” Their answer: Yes with PlinyCompute, which the team describes as “a sys... » read more

Power/Performance Bits: June 12
By Jesse Allen - 12 Jun, 2018 - Comments: 0

AI for solar materials In the search for better organic photovoltaic materials, researchers at Osaka University turned to machine learning to help identify candidates. While organic photovoltaics (OPVs) are promising on a cost basis, they do not yet have the required power conversion efficiency (PCE) necessary for commercialization. A key element in this is the semiconducting polymer layer. ... » read more

← Older posts Newer posts →

  • Sponsors

About

Navigation

Connect With Us

Copyright ©2013-2026 SMG   |  Terms of Service  |  Privacy Policy