http://nimo.asu.edu/halo

Oct 11, 2017 -- Machine learning algorithms have made significant progress, achieving the accuracy close to, or even better than human-level perception in various tasks. Yet hardware implementation of the massively parallel and/or deep learning algorithms is still too expensive in both computation and power consumption. There is a timely need to map the latest learning algorithms to application-specific hardware (e.g., FPGA, ASIC, etc.), in order to achieve orders of magnitude improvement in performance, energy efficiency and compactness. Recent advances in computational neurosciences and nanoelectronic technology, such as resistive memory devices, will further help shed light on future hardware-software co-design platforms for learning on-a-chip.

The workshop organizers strongly encourage the submission of early results in the related topics. The submissions will be evaluated by the Technical Program Committee. The author(s) of the accepted submissions are expected to present the results in the format of posters at the workshop. In addition, there will be a Special Issue of ACM Journal of Emerging Technologies in Computing Systems (JETC), dedicated to HALO 2017. Accepted posters are encouraged to submit their work to this special issue in March 2018.

Key Topics
• Synaptic plasticity and neuron motifs of learning dynamics
• Computation models of cortical activities
• Sparse learning, feature extraction and personalization
• Deep learning with high speed and high power efficiency
• Hardware acceleration for machine learning and computer vision
• Hardware emulation of brain
• Nanoelectronic devices and architectures for neuro-computing
• Applications of learning on a smart mobile platform

Co-chairs: Jae-sun Seo, Arizona State University, Yu (Kevin) Cao, Arizona State University; Xin Li, Carnegie Mellon University;

Technical Program Committee
Rob Aitken, ARM
Shawn Blanton, Carnegie Mellon University
Sankar Basu, National Science Foundation
Maxim Bazhenov, University of California, San Diego
Yiran Chen, University of Pittsburgh
Kailash Gopalakrishnan, IBM
Yiorgos Makris, University of Texas, Dallas
Kendel McCarley, Raytheon
Mustafa Ozdal, Bilkent University, Turkey
Yuan Xie, University of California, Santa Barbara
Chris Yu, Charles Stark Draper Laboratory

Abstract Format
One page maximum in US Letter or A4 format. Once accepted, the authors are required to give a short oral introduction as well as poster presentation.

Travel Support
Travel support will be provided to the first ten student applicants, at the amount of $300 for each student. To apply for this, please have your advisor prepare a recommendation letter, along with the one-page abstract. An application is completed when both the one-page abstract and the recommendation letter are received. Moreover, any student who receives the travel support is required to submit a journal paper on his/her work to the Special Issue of JETC.

Timeline
Submission Deadline: October 30, 2017
Notification of Acceptance: November 6, 2017
Workshop Date: November 16, 2017

Submission
Please send the abstract in PDF format to Email Contact, with subject “HALO 2017 poster submission”.

Contacts:
Prof. Jae-sun Seo,
School of ECEE,
Arizona State University,
Email Contact