Are Better Machine Training Approaches Ahead?


We live in a time of unparalleled use of machine learning (ML), but it relies on one approach to training the models that are implemented in artificial neural networks (ANNs) — so named because they’re not neuromorphic. But other training approaches, some of which are more biomimetic than others, are being developed. The big question remains whether any of them will become commercially viab... » read more

System Bits: Oct. 15


When self-driving cars collide As self-driving car technology develops and evolves, it is inevitable that there will be collisions while the tech matures. “What can we do in order to minimize the consequences?” asks Amir Khajepour, a professor of mechanical and mechatronics engineering at the University of Waterloo. “That is our focus.” The first rule for the autonomous vehicle (... » read more

System Bits: Sept. 11


Everything’s faster in Texas The Frontera supercomputing system was formally unveiled last week at the Texas Advanced Computing Center. The system was deployed in June on the University of Texas at Austin campus. It is the fifth-fastest supercomputer in the world at present and the world's fastest academic supercomputer. Dell EMC and Intel collaborated on fitting out Frontera. Work beg... » read more

System Bits: Aug. 20


Blockchain integrated into energy systems Researchers at Canada’s University of Waterloo integrated blockchain technology into energy systems, a development that may expand charging infrastructure for electric vehicles. In a study that outlines the new blockchain-oriented charging system, the researchers found that there is a lack of trust among charging service providers, property owners... » read more

Power/Performance Bits: July 30


100GHz transceiver Engineers at the University of California Irvine built a new wireless transceiver that works above 100 gigahertz. The 4.4-millimeter-square silicon chip, called an "end-to-end transmitter-receiver," uses a digital-analog architecture that modulates the digital bits in the analog and radio-frequency domains to process digital signals quickly and energy-efficiently. "We cal... » read more

System Bits: July 15


Automating bridge inspections with robotics The University of Waterloo has come up with robotics that could be used in automated inspection of bridges, making sure such critical infrastructure is safe and sound. The technology promises to make bridge inspection cheaper and easier. The system collects data for defect detection and analysis through a combination of autonomous robots, cameras,... » read more

System Bits: June 18


Another win for aUToronto Photo credit: University of Toronto The University of Toronto’s student-led self-driving car team racked up its second consecutive victory last month at the annual AutoDrive Challenge in Ann Arbor, Mich. The three-year challenge goes out to North American universities, offering a Chevrolet Bolt electric vehicle to outfit with autonomous driving technology.... » 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

System Bits: May 6


Transmitting data with a semiconductor laser Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences demonstrated a laser that can emit microwaves wirelessly, modulate them, and receive external radio frequency signals. “The research opens the door to new types of hybrid electronic-photonic devices and is the first step toward ultra-high-speed Wi-Fi,” said ... » read more

System Bits: April 23


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

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