tag: Vienna University of Technology

Week In Review: Design, Low Power
By Susan Rambo - 31 Mar, 2023 - Comments: 0

Synopsys rolled out an AI-driven design suite called Synopsys.ai at the Synopsys User Group conference this week, which it says reduces time to better results at multiple points in the design flow. The company noted the new technology uses reinforcement learning, which compensates for relatively small data sets by allowing engineers to interact with that data more easily at any point, and to ch... » read more

Technical Paper Round-up: May 3
By Linda Christensen - 03 May, 2022 - Comments: 0

New technical papers added to Semiconductor Engineering’s library this week. [table id=24 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit for... » read more

Image Sensor Trained To Classify Optically Projected Images By Reading Out The Few Most Relevant Pixels
By Technical Paper Link - 30 Apr, 2022 - Comments: 0

New research paper "Sparse pixel image sensor" from Institute of Photonics, Vienna University of Technology. Abstract "As conventional frame-based cameras suffer from high energy consumption and latency, several new types of image sensors have been devised, with some of them exploiting the sparsity of natural images in some transform domain. Instead of sampling the full image, those devices... » read more

The speed limit of optoelectronics
By Technical Paper Link - 29 Mar, 2022 - Comments: 0

Abstract "Light-field driven charge motion links semiconductor technology to electric fields with attosecond temporal control. Motivated by ultimate-speed electron-based signal processing, strong-field excitation has been identified viable for the ultrafast manipulation of a solid’s electronic properties but found to evoke perplexing post-excitation dynamics. Here, we report on single-photon... » read more

Power/Performance Bits: March 16
By Jesse Allen - 16 Mar, 2021 - Comments: 0

Adaptable neural nets Neural networks go through two phases: training, when weights are set based on a dataset, and inference, when new information is assessed based on those weights. But researchers at MIT, Institute of Science and Technology Austria, and Vienna University of Technology propose a new type of neural network that can learn during inference and adjust its underlying equations to... » read more

Power/Performance Bits: April 25
By Jesse Allen - 25 Apr, 2017 - Comments: 0

Thermal diode Engineers at the University of Nebraska-Lincoln developed a nano-thermal-mechanical device, or thermal diode, which uses heat as an alternative energy source that would allow computing at ultra-high temperatures. "If you think about it, whatever you do with electricity you should (also) be able to do with heat, because they are similar in many ways," said Sidy Ndao, assistan... » read more

Do Students Need More Formal Education?
By Brian Bailey - 21 Nov, 2013 - Comments: 0

A few weeks ago, some of the top researchers and practitioners in the area of formal methods converged on Portland, Oregon. The event was the annual Formal Methods in Computer-Aided Design (FMCAD) conference and Semiconductor Engineering attended the panel titled “Teaching Formal Methods: Needs, Challenges, Experiences, and Opportunities.” Panelists included: Jason Baumgartner, formal verif... » read more

Power/Performance Bits: July 9
By Ed Sperling - 09 Jul, 2013 - Comments: 0

All-optical transistor Optical computing uses light rather than electricity to perform calculations and is expected to potentially pay dividends for both conventional computers and quantum computers, which are largely hypothetical devices that could perform some types of computations exponentially faster than classical computers. One drawback is that optical computing requires light particl... » read more

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