Event Description
Neural Networks for Machine Learning: A Symposium to Honor Kunihiko Fukushima, Recipient of the 2021 Bower Award and Prize for Achievement in Science
The College of Engineering is honored to co-organize, with the University of Pennsylvania and the Franklin Institute, a symposium to honor the Bower Awardee, Kunihiko Fukushima, the inventor of the Neocognitron. Dr. Fukushima joins a list of many distinguished laureates of the Franklin Institute – of these over 121 laureates have later received the Nobel Prize.
Dr. Fukushima has received the Bower Award “for his pioneering research that applied principles of neuroscience to engineering through his invention of the first deep convolutional neural network, “Neocognitron”—a key contribution to the development of artificial intelligence.”
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Schedule
- 9:00 Welcome Remarks
- 9:05 Franklin Institute Awards (Video)
- 9:10 Bower Award Laureate (Video)
- 9:20 Deep CNN Neocognitron and its Advances
KUNIHIKO FUKUSHIMA
- 10:00 ADALINE, MADALINE, and Neocognitron
BERNARD WIDROW
- 10:20 Appraisal of Kunihiko Fukushima's Work JÜRGEN SCHMIDHUBER
- 11:00 A Brave New World: Overfitting is Good When Deep
TOMASO POGGIO
- 11:40 Multidisciplinary Innovation & Fukushima: Lessons Learned
DONALD WUNSCH
- 12:20 The Unreasonable Effectiveness of Deep Learning in AI
TERRY SEJNOWVSKI
Speakers
KUNIHIKO FUKUSHIMA, PH.D., Laureate
Fuzzy Logic Systems Institute
Former: Osaka University and NHK Science and Technology Research Laboratories
BERNARD WIDROW, PH.D
Professor Emeritus of Electrical Engineering
Stanford University
JÜRGEN SCHMIDHUBER, PH.D.
NNAISENSE and the Swiss AI Lab IDSIA, University of Lugano, Switzerland
TOMASO POGGIO, PH.D.
Center for Brains, Minds, and Machines Massachusetts Institute of Technology
DONALD WUNSCH, PH.D.
Applied Computational Intelligence Lab Missouri University of Science and Technology
TERRY SEJNOWSKI, PH.D.
Computational Neurobiology Laboratory,
Salk Institute and Division of Biological Sciences, University of California |