tag: University of Maryland

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 14 Jun, 2019 - Comments: 0

Products/Services Mentor, a Siemens Business, announced the release of the final phase of the Valor software New Product Introduction design-for-manufacturing technology, automating printed circuit board design reviews. The company has integrated DFM technology into the Xpedition software layout application. Arteris IP reports that Toshiba has taped out its next-generation advanced driv... » read more

System Bits: May 21
By Jeff Dorsch - 21 May, 2019 - Comments: 0

Washable, wearable energy devices for clothing Researchers at the University of Cambridge collaborated with colleagues at China’s Jiangnan University to develop wearable electronic components that could be woven into fabrics for clothing, suitable for energy conversion, flexible circuits, health-care monitoring, and other applications. Graphene and other materials can be directly incorpor... » read more

Week in Review: IoT, Security, Auto
By Jeff Dorsch - 03 May, 2019 - Comments: 0

Internet of Things AT&T reports the activation of its narrowband Internet of Things network in the U.S. The carrier upgraded its 4G LTE cell sites across the country. It now offers two low-power wide-area networks to business customers, including its LTE-M network in Mexico and the U.S. “Both networks are designed for the IoT within licensed spectrum and provide carrier-grade security,�... » read more

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

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

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

Preparing For AI
By Katherine Derbyshire - 03 May, 2018 - Comments: 0

Suppose an autonomous car is coming up an on-ramp onto a bridge. The ramp is fine, but the bridge is icy, and there’s an overturned bus full of children blocking several lanes. Children are evacuating through the windows and milling around on the pavement. There isn’t time to stop, even with the better-than-human reaction time an autonomous car might have. Swerving to one side might send... » read more

Manufacturing Bits: May 1
By Mark LaPedus - 01 May, 2018 - Comments: 0

Adaptive materials The U.S. Army Research Laboratory (ARL) and the University of Maryland have developed a technique to make adaptive materials. Using ultraviolet light, researchers have devised a way that causes a composite material to become stiffer and stronger on-demand. This in turn could enable a variety of new capabilities for the U.S. military, such as rotorcraft design. In this... » read more

Power/Performance Bits: May 1
By Jesse Allen - 01 May, 2018 - Comments: 0

Low power video streaming Engineers at the University of Washington developed a method for streaming HD video from a lightweight, wearable camera. The researchers used backscatter to send pixel data to a more powerful device, such as a smartphone or laptop, for power-hungry tasks like video processing and compression that have made a lightweight streaming camera out of reach. The pixels in ... » read more

Manufacturing Bits: April 3
By Mark LaPedus - 03 Apr, 2018 - Comments: 0

World's brightest accelerator Japan’s High Energy Accelerator Research Organization (KEK) is readying what is considered the world’s most luminous or brightest particle accelerator. The system, dubbed the SuperKEKB, combines an electron-positron collider with a new and advanced detector. The storage ring system is designed to explore and measure rare decays of elementary particles, such... » read more

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