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SSCS Distinguished Lecturer Edith Beigné on auto-adaptive digital circuits

Beigné is a senior scientist at the “most innovative research organization”| Short Read
Note: The video is available internally only.

Dr. Edith Beigné presented the talk “Auto-adaptive digital circuits – Application to low-power Multicores and ultra-low-power Wireless Sensor Nodes” to members of the Michigan Integrated Circuits Laboratory (MICL) and others on February 28, 2017.

Dr. Beigné came to Michigan as a 2016-17 Distinguished Lecturer under the IEEE Solid-State Circuits Society (SSCS) Distinguished Lecturer Program. This program features researchers who are known for the quality and quantity of their research, and are considered to be excellent speakers.

Edith Beigné is a senior scientist at CEA-LETI, Grenoble, France, which is a research institute for electronics and information technologies. One of the world’s largest organizations for applied research in microelectronics and nanotechnology, it was named the most innovative research organization in the world by Thomas Reuters in 2015.

A senior scientist in CEA-LETI’s digital and mixed-signal design lab, Dr. Beigné researches low power and adaptive circuit techniques, exploiting asynchronous design and advanced technology nodes like FDSOI 28nm and 14nm for many different applications from high performance multiprocessor system-on-chip to ultra-low power IoT applications.

Prof. Ehsan Afshari and Prof. Dennis Sylvester, Director of MICL, are also 2016-17 SSCS Distinguished Lecturers. See the complete list of the talks available by this cohort of SSCS Distinguished Lecturers.


Posted March 10, 2017

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The electrons absorb laser light and set up “momentum combs” (the hills) spanning the energy valleys within the material (the red line). When the electrons have an energy allowed by the quantum mechanical structure of the material—and also touch the edge of the valley—they emit light. This is why some teeth of the combs are bright and some are dark. By measuring the emitted light and precisely locating its source, the research mapped out the energy valleys in a 2D crystal of tungsten diselenide. Credit: Markus Borsch, Quantum Science Theory Lab, University of Michigan.

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