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Tuesday, February 27th
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Time
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Topic
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Speaker
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8:00
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Welcome
(watch presentation) |
Murat Okandan, NICE Workshop Foundation
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8:10
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Leading the Evolution of Compute
(watch presentation) |
Mike Mayberry, Intel Corporation
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8:30
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Programmatic panel
(watch presentation) |
Karlheinz Meier, EU HBP
Hava Siegelmann, DARPA Kaushik Roy, SRC/C-BRIC |
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9:25
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Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms
(watch presentation) |
Craig Vineyard, Sandia National Laboratories
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9:50
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20 Minute Break
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10:10
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Terry Sejnowski, Salk Institute
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10:55
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On-Device Intelligence with Deep Random Projection Networks
(watch presentation) |
Dhireesha Kudithipudi, RIT
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3×10 Minute Lightning Talks
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11:20
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Bioinspired dynamic frontend for spike-based speech recognition
(watch presentation) |
Jin-Ping Han, IBM
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11:30
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Johan Kwisthout, Radboud University
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11:40
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A neural-inspired software stack
(watch presentation) |
Fred Rothganger, Sandia National Laboratories
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11:45
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Lunch
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1:15
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Designing processors for the nascency of machine intelligence
(watch presentation) |
Simon Knowles, Graphcore
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1:40
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A Pulse-Gated Mechanism for Synaptic Copy Between Neural Circuits
(watch presentation) (download pdf) |
Andrew Sornborger, Los Alamos National Laboratory
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2:05
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Lifelong Learning in Machines
(watch presentation) |
Hava Siegelmann, DARPA
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2:30
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3:15
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Sparse Embeddings of Spin-glass Spiking Neuron Networks on Neuromorphic Hardware for Community Identification Task
(watch presentation) |
Kathleen Hamilton, Oak Ridge National Laboratory
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New Architectures
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Time
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Topic
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Speaker
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3:40
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Towards the Second Generation BrainScaleS System
(watch presentation) |
Johannes Schemmel, Heidelberg University
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4:05
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SpiNNaker2 – Towards extremely efficient digital neuromorphics and multi-scale brain emulation
(watch presentation) (download pdf) |
Sebastian Hoppner, TU Dresden
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4:30
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Mike Davies, Intel
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4:45
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Open mic & Discussion
(watch presentation) |
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6:00-8:00
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Snacks and Drinks
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Wednesday, February 28th
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Time
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Topic
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Speaker
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8:00
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Welcome
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Karlheinz Meier, University of Heidelberg
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8:15
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Some Observations About the Near Future of Alternative Computing Technology
(watch presentation) (download ppt) |
Bob Colwell
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9:00
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The Dynamic Link Architecture
(watch presentation) |
Christoph von der Malsburg, Platonite
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9:25
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How Do Brains Learn about the Physical World
(watch presentation) |
Garrett Kenyon, Los Alamos National Laboratory
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9:50
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30 Break
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10:10
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Wolfgang Maass, TU Graz
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10:35
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Weinan Sun, Janelia Farm
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11:00
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Adrienne Fairhall, University of Washington
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4×10 Minute Lightning Talks
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11:25
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NeuADC: Neural Network Inspired Architecture to Exploit Learning for Analog-to-Digital Conversion
(watch presentation) |
Xuan Zhang, Washington University
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11:35
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Quasi CNN
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Bill Aronson, AI Research Group
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11:45
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A novel three-terminal memory with ultra-low energy and superior analog behavior
(watch presentation) |
Elliot J. Fuller, Sandia National Laboratories
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11:55
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Efficient Biosignal Processing with Brain-inspired High-dimensional Computing: A Universal ExG Classifier
(watch presentation) (download pdf) |
Abbas Rahimi, ETH Zurich
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12:10
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Lunch
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1:15
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Campbell Scott,
IBM |
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1:40
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Working memory for structured data in neural networks
(watch presentation) |
Fritz Sommer,
UC Berkeley |
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2:05
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Konstantinos Michmizos, Rutgers University
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2:30
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45 Minute Poster & Demos Break
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Scientific Computing
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Time
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Topic
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Speaker
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3:15
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Rick Stevens, Argonne National Laboratory
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3:40
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Gangotree Chakma, University of Tennessee
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4:05
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Brad Aimone, Sandia National Laboratories
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4:30
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Open mic & Discussion
(watch presentation) |
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6:00
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Transportation
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6:30-8:00
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Dinner Pumpkin Ridge Golf Course – 12930 NW Old Pumpkin Ridge Rd, North Plains, OR 97133, with Speaker George Dyson
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Thursday, March 1st
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Time
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Topic
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Speaker
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8:00
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Welcome
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Brad Aimone, Sandia National Laboratories
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8:15
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Introducing Loihi, Intel’s neuromorphic research chip with integrated learning
(watch presentation) (download pdf) |
Mike Davies, Intel Corporation
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9:00
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Continuous learning and catastrophic forgetting – what can we learn from the brain?
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Maxim Bazhenov, UC San Diego
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9:25
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Thomas Cleland, Cornell
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9:50
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30 Break
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10:10
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Building applications with next generation neuromorphic hardware
(watch presentation) (download pdf) |
Chris Eliasmith, University of Waterloo
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10:35
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Sebastian Schmitt, Heidelberg University
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4×10 Minute Lightning Talks
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11:00
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Gridbot: A Spiking Neural Network Model of the Brain’s Navigation System for Autonomous Robots
(watch presentation) (download pdf) |
Konstantinos Michimizos, Rutgers University
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11:10
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Multi-Precision Deep Neural Networks
(watch presentation) |
Sek Chai, SRI International
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11:20
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Biologically inspired memory enhancement of deep recurrent neural networks
(watch presentation) (download pdf) |
Xin Wang, Intel Corporation
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11:30
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George Dyson
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11:50
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Lunch
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1:15
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Embedded Learning on Neuromorphic Systems: Towards a Unified Computing Framework
(watch presentation) |
Emre Neftci, UC Irvine
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1:40
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Impacts of Quantization and Compression on Reinforcement Learning Policy Performance
(watch presentation) (download ppt) |
Sam Green, Sandia National Laboratories
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2:05
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Albert Lee, UCLA
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2:30
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45 Minute Poster & Demos Break
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Neuromorphic Computing
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Time
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Topic
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Speaker
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3:15
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Whetstone: An accessible, platform-independent method for training spiking deep neural networks for neuromorphic processors
(watch presentation) (download pdf) |
William Severa, Sandia National Laboratories
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3:40
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Deep supervised learning using local errors
(watch presentation) |
Hesham Mostafa, UC San Diego
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4:05
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X^3: A biologically inspired, high-speed algorithm for feature learning
(watch presentation) (download pdf) |
William Hahn, MPCR
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4:30
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Open mic & Discussion
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5:15
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Wrap up/Adjourn
(watch presentation) |
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