BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:Innovation is in the Mind – The Converging Trajectories of IT\, Neuro and Nano DTSTART:20130826T171500 DTSTAMP:20260511T105542Z UID:c88f03491915c255cc34e726f94084f1225b4dbcafbccdbfac8df417 CATEGORIES:Conferences - Seminars DESCRIPTION:Prof. Jan Rabaey\, University of California (Berkeley)\nBio: H e received the EE and Ph.D. degrees in Applied Sciences from the Katholiek e Universiteit Leuven\, Belgium\, in 1978 and 1983 respectively. From 1983 -1985\, he was a Visiting Research Engineer at UC Berkeley. From 1985-1987 \, he was a research manager at IMEC\, Belgium\, and in 1987\, joined the faculty of the Electrical Engineering and Computer Science department at U C Berkeley\, where he is now holds the Donald O. Pederson Distinguished Pr ofessorship. He has been a visiting professor at the University of Pavia ( Italy)\, Waseda University (Japan)\, the Technical University Delft (Nethe rlands)\, Victoria Technical University and the University of New South Wa les (Australia). He was the Associate Chair (EE) of the EECS Dept. at Berk eley from 1999 until 2002 and is currently the Scientific co-director of t he Berkeley Wireless Research Center (BWRC)\, as well as the director of t he Multiscale Systems Research Center (MuSyC).\nProfessor Rabaey has autho red or co-authored a wide range of papers in the area of signal processing and design automation. He has received numerous scientific awards\, inclu ding the 1985 IEEE Transactions on Computer Aided Design Best Paper Award (Circuits and Systems Society)\, the 1989 Presidential Young Investigator award\, and the 1994 Signal Processing Society Senior Award. In 1995\, he became an IEEE Fellow. He has also be awarded the 2002 ISSCC Jack Raper Aw ard\, the 2008 IEEE Circuits and Systems Mac Van Valkenburg Award\, the 20 09 EDAA Lifetime Achievement Award\, and the 2010 Semiconductor Industry A ssociation University Researcher Award. In 2011\, he was elected to the Ro yal Flemish Academy of Arts and Sciences (Belgium). He is past Chair of th e VLSI Signal Processing Technical Committee of the Signal Processing Soci ety and has chaired the executive committee of the Design Automation Confe rence. He serves on the Technical Advisory Boards of a wide range of compa nies.\nWhile major progress has been made over the past decades\, the dyna mic behavior of the brain at large is still ill understood. One of the maj or charters in the neuroscience community for the next decade is to create a dynamic map of brain activity – an initiative that most recently rece ived the full support of the White House. Doing so will require the most a dvanced imaging capabilities operating at multiple scales of resolution – from 10’s of microns to the complete brain. Recent advances in micro scopic sensing\, ULP processing and communications are leading to brain-ma chine interfaces that may be able to observe thousands if not millions of active neurons in vivo. These “nanomorphic” circuits truly push the li mit of nanometer scale semiconductor devices.\nOne of the unintended side effects of a deeper understanding of the operation of the brain is that in reverse it may lead to novel architectures and models for nanoscale infor mation-processing systems. While the brain may not be considered “genera l purpose” in terms of its computational capabilities\, it performs a se t of functions such as feature extraction\, classification\, synthesis\, r ecognition\, learning\, and higher-order decision-making amazingly well an d efficiently. Some properties of neural processing match the features tha t are inherent to emerging nanoscale semiconductor fabrics: it thrives on randomness and variability\, processing is performed in the continuous or discrete domains\, and massive parallelism\, major redundancy and adaptivi ty are of essence. Computational paradigms inspired by neural information processing hence may lead to energy-efficient\, low-cost\, dense and/or re liable implementations of the functions the brain excels at.\nIn this pres entation\, we will explore both sides of this neuroscience-information tec hnology interaction. One thing is for sure – the joint future will be ex citing. LOCATION:ELA1 http://plan.epfl.ch/?lang=fr&room=ela+1 STATUS:CONFIRMED END:VEVENT END:VCALENDAR