CNN Technology for Brain-like Spatial-Temporal Sensory Computing - Present and Future

Tuesday, May 25, 08:00 - 09:00

Presented by

Dr. T. Roska, Pázmány, University and the Computer and Automation Res. Inst. of the Hungarian Academy of Sciences, Budapest, Hungary

Abstract

As feature size is shrinking into the nano-domain, and sensing and processing are to be integrated due to the ``sensory revolution'', as well as the complexity of circuits is hitting the billion transistor range, engineers are looking for prototypes nature might provide us. The information and signal processing architecture in the nervous system, especially related to the sensory inputs, show interesting layered cellular prototype architecture. Another characteristic of this line of thinking is the fact that data are spatialtemporal topographic (image) flows, and the processing is also basically spatial-temporal. In this lecture, the CNN sensory-computing paradigm will be introduced in a generic way, as the simplest, still universal, architecture for solving spatial-temporal problems on topographic flows. Once this cellular wave computing concept is presented, (i) the latest physical (circuit) implementations, (ii) the new world of algorithms and software, as well as (iii) the biological relevance will be demonstrated, including the multi-channel processing in the mammalian retina. As to the applications, the highest speed camera-computer called ``Bi-i'' will be described, hosting the high-end Cellular Visual Microprocessors with a special combination of the CNN wave computing and global digital processing, and a few breakthrough applications will be demonstrated. Finally, new concepts, like the proactive sensory processing and multimodal sensing embedded in logical reasoning and semantics, will be highlighted.

Speaker Biography

Tamás Roska received the Diploma in Electrical Engineering from the Technical University of Budapest in 1964 and the Ph.D. and D.Sc. degrees in Hungary in 1973 and 1982, respectively. He is a Fellow of the IEEE and elected member of four Academies of Sciences in Europe. Since 1964 he has held various research positions, since 1982 he has been with the Computer and Automation Research Institute of the Hungarian Academy of Sciences where he is presently head of the Analogic and Neural Computing Research Laboratory. He is also a Professor and Dean of the Faculty of Information Technology at the Pázmány P. Catholic University, Budapest. Professor Roska has taught several courses, presently, he is teaching graduate courses on ``Emergent Computations'' and ``Cellular Neural Networks and Visual Microprocessors''. In 1974 and since 1989 in each year, he has been Visiting Scholar at the University of California at Berkeley. His research interests include: cellular neural networks, nonlinear circuit and systems, neural electronic circuits, and analogic spatial-temporal supercomputing and computational complexity. He has published more than hundred research papers and four books (partly as a co-author). His seminal paper on the CNN Universal Machine, co-authored with L. O. Chua, has received several hundred citations. Dr. Roska is a co-inventor of the CNN Universal Machine (with Leon O. Chua) and the analogic CNN Bionic Eye (with Frank S. Werblin and Leon O.Chua), both are US patents owned by the University of California at Berkeley. Recently, he has been serving as Editor-in-Chief of the IEEE Transactions on Circuits and Systems, he served several times as Guest Co-Editor of special issues on Cellular Neural Networks of the International Journal of Circuit Theory and Applications (1992, 1996, 1998, 2002) and the IEEE Transactions on Circuits and Systems (1993, 1999). He is a member of the Editorial Board of the International Journal of Circuit Theory and Applications, the Journal of the Franklin Institute, and the Neural Processing Letters. He has been a founding Chair of the Technical Committee on Cellular Neural Networks and Array Computing in the IEEE Circuits and Systems Society. He has received the IEEE Third Millenium Medal and the IEEE Circuits and Systems Society's Golden Jubilee Award. He has been awarded a ``doctor honoris causa'' from the University of Veszprém. Dr. Roska received in Hungary the Széchenyi Prize, the Szentgyörgyi Prize and the D. Gabor Prize, the Grand Prize of the ``Pro Renovanda Cultura Hingariae'', and very recently the 2002 Bolyai Prize. Dr. Roska is a member of the Hungarian Academy of Sciences, the Academia Europaea, the European Academy of Arts and Sciences, the St. Steven Academy, and a Fellow of the IEEE.

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