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5th Neuro Inspired Computational Elements Workshop (NICE 2017)

Date:

Monday, March 6, 2017, 8 a.m. — Wednesday, March 8, 2017, 5 p.m. PT

Location:

IBM Research-Almaden, 650 Harry Road, San Jose, CA, United States

Event ID:

E006125

Workshop Focus

Conventional, stored program architecture systems are designed for algorithmic and exact calculations. However, the problems with highest impact involve large, noisy, incomplete, “natural” data sets that do not lend themselves to convenient solutions by current systems.

Goal

Our task is to build upon the convergence among neuroscience, microelectronics and computational systems to develop new architectures and approaches designed to handle the hardest challenges.

Agenda
Registration &
Fee Information
Confirmed
Invited Speakers
Organizers
Hotels &
Logistics

5th Neuro Inspired Computational Elements Workshop (NICE)
Monday, March 6, 2017
7:15-8:00 AM
Badge Pickup/Breakfast
8:00 AM WELCOME
Presentation Neuro-Inspired Computational Elements 2017

Murat Okandan (NICE 2017 Committee Chair), Spike Narayan, Director (IBM-Almaden)
8:20 AM Programmatic Panel
Presentation An Overview of Related NSF Programmatics

Bio Erwin Gianchandani / NSF
Presentation DOE "Big Idea" concept proposed by DOE Labs

Devanand Shenoy / DOE
Presentation Neuromorphic Computing in the European HBP Programatic Aspects

Karlheinz Meier / EU HBP
Hava Siegelmann / DARPA
9:00 AM
Abstract Presentation Overview of the IBM Machine Intelligence Project

Bio Winfried Wilcke, Ahmet Ozcan / IBM
9:25 AM
Abstract Neuromorphic Chips: Addressing the Nanostransistor Challenge by Combining Analog Computation with Digital Communication

Kwabena Boahen / Stanford
9:50 AM
----- Break -----
10:10 AM
The Kavli Keynote

Bio Christof Koch / Allen Institute for Brain Science
10:55 AM
Abstract Neural computations for active perception

Bio Bruno Olshausen / UC Berkeley
11:20AM
Abstract Presentation Fast Classification Using Sparsely Active Spiking Networks

Hesham Mostafa / UC San Diego
12:05PM
Abstract Presentation RRAM-based Neuro-Inspired Computing for Unsupervised Temporal Predictions

Robin Degraeve / IMEC
Abstract Presentation An Efficient Implementation of a Liquid State Machine on the Spiking Temporal Processing Unit

Mike Smith / Sandia
Abstract Presentation Neural Dynamics Emulation Using Neuromorphic Chips

Wenyuan Li / UCLA
12:35PM
----- Lunch -----
1:40 PM
Abstract A Theory of Sensorimotor Processing in the Neocortex and the Implications for Machine Intelligence

Jeff Hawkins / Numenta
2:05 PM
Presentation Machine Intelligence for Mobile Augmented Reality

Hyong-Euk Lee / Samsung
2:30 PM
Abstract Toward New Computing Paradigms – Perspectives On Leading National Efforts

Bio Sankar Basu / NSF
2:55 PM
----- Poster/Demo Overview -----
3:05 PM
----- Poster/Demo/Break -----
3:40 PM
Presentation The BrainScaleS physical model machine - From commissioning to real world problem solving

Karlheinz Meier/ University of Heidelberg
4:05 PM
Abstract Presentation Inferring Inference

Raju / Pitkow / Rice University
4:30 PM
Open Mic/Discussion
6:00 PM
----- Reception -----
Tuesday, March 7, 2017
7:15-8:00 AM
Badge Pickup/Breakfast
8:00 AM
Welcome / Overview

Winfried Wilcke / IBM
8:15 AM
Plenary

Chris Eliasmith / University of Waterloo
9:00 AM
IBM Watson: Engineering the future of AI

Ruchir Puri / IBM
9:25 AM
Abstract On the link between Energy & Information for the Design of Neuromorphic Systems

Bio Narayan Srinivasa / Intel
9:50 AM
----- Break -----
10:10 AM
Abstract Presentation SpiNNaker: Large-scale Real-time Neural Simulation

Steve Furber / University of Manchester
10:35 AM
Lifelong Learning Machine: A New DARPA Program

Hava Siegelmann / DARPA
TrueNorth Ecosystem Abstract

Bio Dharmendra Modha / IBM
11:25AM
Presentation How Can Networks of Spiking Neurons Wire Themselves Up For a Specific Computational Task?

Wolfgang Maass / Graz University of Technology
11:50 AM
Abstract Presentation Reduced-memory training and deployment of deep residual networks by stochastic binary quantization

Mark McDonnell / University of South Australia
Abstract Presentation DANNA Neuromorphic Application Development Kit

Jim Plank / University of Tennessee
Gridbot: Spike-Based Head Direction Cells Employing Bayesian Inference

Konstantinos Michmizos / Rutgers University
Abstract Presentation Ultra-Efficient Neural Algorithm Accelerator Using Processing With Memory

Matt Marinella / Sandia
Presentation Commercializing Brain-Inspired Computing

Lloyd Watts
12:35 PM
----- Lunch -----
2:00 PM
Abstract Presentation Deep Restricted Bayesian Network BESOM

Bio Yuuji Ichisugi / NIAIST
2:25 PM
----- Poster/Demo Overview -----
2:40 PM
----- Poster/Demo/Break -----
3:15 PM
Abstract Predictive coding for unsupervised feature learning

Bio David Cox / Harvard
3:40 PM
Abstract Presentation Hippocampus-inspired Adaptive Neural Algorithms

Bio Brad Aimone / Sandia
4:05 PM
Abstract Presentation Processor in Memory Cortical Extensions

Paul Franzon / NCSU
4:30 PM
Open Mic/Discussion
6:00 PM
----- Break -----
6:30 PM
----- Dinner -----
Wednesday, March 8, 2017
7:15-8:00 AM
Badge Pickup/Breakfast
8:00 AM
Welcome / Overview

Bio Brad Aimone / Sandia
8:15 AM
Plenary

Gary Marcus / New York University
9:00 AM
Abstract Presentation Binary Neural Network and Its Implementation with 16 Mb RRAM Macro Chip

Shimeng Yu / Arizona State University
9:25 AM
Abstract Presentation Event-driven Random Backpropagation: Enabling Neuromorphic Deep Learning Machines

Emri Neftci / UC Irvine
9:50 AM
----- Break -----
10:10 AM
Abstract Reverse engineering neocortical intelligence

Andreas Tolias / Baylor College of Medicine
10:35 AM
Abstract Brain Activity, Connectivity, and Dynamics Derived from NeuroMRI and Their Potential for Neuroinspired Computing

Bio Xiaoping Hu / UCR
11:00 AM
Abstract Presentation Solving Sparse Representation for Object Classification Using Quantum D-Wave 2X Machine

Nga Nguyen / Los Alamos
11:25 AM
Abstract Presentation Studying Adaptive Learning through Game-Theoretic Modeling

Craig Vineyard / Sandia
11:50 AM
Abstract Presentation Implementing Spiking Neural Networks with the Biological Complexity of Cortical Neurons

Alice Parker / USC
Abstract Presentation Staying on the path

Fred Rothganger / Sandia
Abstract Presentation Experimental demonstration of software-trained neural network inferencing in analog memristor crossbar arrays

Miao Hu / Hewlett Packard Labs
Presentation On-line Learning Architectures

Tarek Taha/ Univ. of Dayton
12:35 PM
----- Lunch -----
2:05 PM
Abstract Exploring Neuromorphic computing at Lawrence Livermore

Bio Brian Van Essen / Lawrence Livermore National Laboratory
2:30 PM
----- Poster/Demo Overview -----
2:40 PM
----- Poster/Demo/Break -----
3:30 PM
Abstract Training and Plasticity Concepts of the BrainScaleS Neuromorphic Systems

Johannes Schemmel / University of Heidelberg
3:55 PM
Non-volatile Memories for Neuromorphic Computing at IBM - from Promise to Perfection

Wilfried Haensch / IBM
4:20 PM
Neuroscience/Theory Overview
4:35 PM
Hardware/Applications Overview
4:50 PM
Open Mic/Discussion
6:00 PM
----- Wrap-up / Adjourn -----

Registration

Fee: $355 per attendee

To register go to: https://www.regonline.com/registration/checkin.aspx?eventId=1896770

If you need help or have questions, please go to: nice2017_reghelp@niceworkshop.org

NOTE: Please contact nice2017_reghelp@niceworkshop.org for information regarding any necessary tax forms.

Jeff Hawkins / Numenta

Hava Siegelmann / DARPA

Kwabena Boahen / Stanford University

Wolfgang Maas / University of Graz

Bruno Olshausen / UC Berkeley

David Cox / Harvard

Andreas Tolias / Baylor College of Medicine

Tai Sing / Carnegie Mellon University

Winfried Wilcke / IBM

Yuuji Ichisugi / AIRC

Jianfeng Feng / Fudan University

Hyong-Euk Lee / Samsung

Sankar Basu / NSF-CISE

Erwin Gianchandani / NSF-CISE

Karlheinz Meier / Universitat Heidelberg

Brad Aimone / Sandia National Labs

Dharmendra Modha / IBM

Geoffrey Burr / IBM

Steve Furber / Univ. of Manchester

Gary Marcus / NYU (Plenary Talk)

Chris Eliasmith, Univ. of Waterloo (Plenary Talk)

More information to follow

Venue

IBM-Almaden
650 Harry Rd.
San Jose, CA. 95120

Note: You will need to present a government-issued photo ID to the guard at the parking lot entrance. Those who are pre-registered should already be on their approved list.

Transportation

There will be a shuttle provided between IBM Almaden and the hotels in bold below during the events.

Bus Pickups From/Returns to Hotel Shuttle stops (see below):

Monday - 7:00 AM, 8:20 PM
Tuesday - 7:00 AM, 8:20 PM
Wednesday - 7:00 AM, 6:30 PM

Hotels

Only Hotels in BOLD will be shuttle stops

Wyndham Garden - San Jose Silicon Valley
399 Silicon Valley Boulevard
San Jose, CA 95138
(408) 972-7800
https://www.wyndhamhotels.com/wyndham-garden/san-jose-california/wyndham-garden-san-jose-silicon-valley/overview
4 miles (10 minutes) from IBM Almaden Research Lab

Extended Stay America, Edenvale-North
6199 San Ignacio Ave.
San Jose, CA 95119
408-226-4499
http://www.extendedstayamerica.com/reservations/selectroom.html
3.4 miles (9 minutes) from IBM-Almaden Research Lab

Residence Inn South San Jose
6111 San Ignacio Ave.
San Jose, CA 95119
(408)226-7676
http://www.marriott.com/hotels/travel/sjcri-residence-inn-san-jose-south/?scid=bb1a189a-fec3-4d19-a255-54ba596febe2
10.2 miles (21 minutes) from IBM-Almaden Research lab

Hampton Inn and Suites, San Jose
55 Old Tully Rd.
San Jose, CA 95111
844-525-7244
http://hamptoninn3.hilton.com/en/hotels/california/hampton-inn-and-suites-san-jose-SJCHSHX/index.html
10 miles (21 minutes) from IBM-Almaden Research Lab

Holiday Inn Express, San Jose-Central City
2660 Monterey Hwy
San Jose, CA 95111
800-972-3165
http://www.ihg.com/holidayinnexpress/hotels/us/en/san-jose/sjcmr/hoteldetail
9.5 miles (20 minutes) from IBM-Almaden Research Lab

Clarion Inn, Silicon Valley
3200 Monterey Rd.
San Jose, CA 95111
408-972-2200
http://clarioninnsiliconvalley.com/
8.8 miles (19 minutes) from IBM-Almaden Research Lab

Dolce Hayes Mansion
200 Edenvale Avenue
San Jose, CA 95136
866-981-3300
https://www.hayesmansion.com/?_ga=1.109203013.1901672154.1458225799
7 miles (17 minutes) from IBM-Almaden Research Lab