The ICRI-CI 2017 retreat will take place at Intel Haifa on May 9-10, 2017
|June 24, 2013|
BRAIN-INSPIRED COMPUTING (BIC) workshop
When: Monday, June 24, 2013
The workshop will focus on neuromorphic engineering – the interface between computational neuroscience and computing architecture. We look for new type of computing devices and computing paradigms that with their delicate interplay significantly extend the existing computer capabilities in tasks such as learning, recognition, and complex decision making. These tasks are fostered by fundamental research in the neurosciences.
The workshop will provide a forum to exchange research ideas related to novel computing paradigms which are derived from and inspired by biological nervous systems. These novel computing paradigms aim at solving hard computational problems and provide efficient solutions in terms of error rate and low power consumption. The paradigms are successfully applied nowadays to a wide range of industrial applications, for instance computer vision, speech recognition and motor control. Our goal is to attract a group of interdisciplinary researchers from academia, industry and government research labs. Preliminary results of interesting ideas and work-in-progress are welcome.
Topics of interests
Cognitive computing: from sensory to higher order
Neuromorphic sensors, systems, and chips
Efficient hardware implementations of neural networks: analog vs. digital, spike vs. voltage coding, interconnect, and alternative technologies.
Computing systems to investigate and simulate brain functions
Efficient learning on large neural devices
Programming Model for BIC
Daniel Ben-Dayan Rubin firstname.lastname@example.org, Intel Labs, Israel
Olivier Temam email@example.com, INRIA Saclay, France
Call for abstracts Here (IS NOW CLOSED)
Daniel Ben Dayan Rubin – Intel Labs, Intel Collaborative Reaserch Institute, Israel
Mikko Lipasti – University of Wisconsin, WI USA
Can Networks of Synthetic Neurons Scale to Biological Dimensions?
Giacomo Indiveri & Fabio Stefanini* – ETH Zurich, Switzerland
Kunle Olokutun – Stanford University
Chris Eliasmith & Terry Stewart* – University of Waterloo, Canada
Olivier Temam – INRIA France
* Presenting Author
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