Power/Performance Bits: Jan. 19


Electronic skin for health tracking Researchers at the University of Colorado Boulder developed a stretchy electronic 'skin' that can perform the tasks of wearable fitness devices such as tracking body temperature, heart rate, and movement patterns. "Smart watches are functionally nice, but they're always a big chunk of metal on a band," said Wei Zhang, a professor in the Department of Chem... » read more

Power/Performance Bits: Nov. 25


Rigid or flexible in one device Researchers at the Korea Advanced Institute of Science and Technology (KAIST), Electronics and Telecommunications Research Institute (ETRI) in Daejeon, University of Colorado Boulder, Washington University in St. Louis, Cornell University, and Georgia Institute of Technology proposed a system that would allow electronics to transform from stiff devices to flexib... » read more

System Bits: May 28


Home robotics get cozier Cornell University’s Guy Hoffman was perplexed when he first saw social robots in stores. “I noticed a lot of them had a very similar kind of feature – white and plasticky, designed like consumer electronic devices,” said Hoffman, assistant professor and the Mills Family Faculty Fellow in the Sibley School of Mechanical and Aerospace Engineering. “Especial... » read more

Week in Review: IoT, Security, Auto


Internet of Things Is Google developing a Pixel Watch wearable? Perhaps, if recent job listings are any indication. The company recently was looking to hire someone as vice president of hardware engineering, wearables. Last month, Fossil Group sold smartwatch technology intellectual property to Google for $40 million, while Google hired certain members of Fossil’s wearables R&D team. ... » read more

Power/Performance Bits: Nov. 13


ML identifies LED material Researchers at the University of Houston created a machine learning algorithm that can predict a material's properties to help find better host material candidates for LED lighting. One recommendation was synthesized and tested. The technique, a support vector machine regression model, was efficient enough to run on a personal computer. It scanned a list of 118,28... » read more

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