[hpc-announce] CFP: DSD 2020 Special Session on “Embedded Deep Learning and AI", Deadline: 15.April.2020

Muhammad Shafique mshafique at ecs.tuwien.ac.at
Tue Feb 25 04:50:35 CST 2020

[Apologies if you receive multiple copies of this email. ]

********* CALL FOR PAPERS *********
*DSD 2020, SPECIAL SESSION on “Embedded Deep Learning and AI: 
Architectures, Design Methods, Tools, and Applications”*
*Submission Deadline: 15.April.2020*
Session Link: 
Submission Link: *https://easychair.org/conferences/?conf=dsd2020

Machine learning has numerous important applications in intelligent 
systems within many areas, like automotive, avionics, robotics, 
health-care, well-being, and security. The recent progress in Artificial 
Intelligence (AI), and particularly in Deep Learning (DL) / Machine 
Learning (ML), has dramatically improved the state-of-the-art in object 
detection, classification and recognition, natural language processing, 
games, medical imaging, etc. However, the complexity of DL-networks for 
many practical applications can be huge, and their processing may demand 
a high computing effort and excessive energy consumption. This can 
become a gigantic challenge when considering embedded inference 
implementation for Smart Cyber Physical Systems (like autonomous 
vehicles and robotics) and Internet-of-Things (like healthcare-IoT and 
predictive maintenance for Industry 4.0). Moreover, even training of 
such complex DL-networks over massive data sets is triggering new 
avenues in training accelerator design. In DSD 2020, we plan to organize 
several oral sessions on embedded deep learning/AI and related research, 
as well as to have invited speeches, and a poster session.
*Topics of Interest*
We welcome submissions related to advanced applications, architectures, 
design methods and tools, and system software for AI, ML and DL, 
especially related (but not limited) to the following topics:
• Architectures for ML and DL, with emphasis on energy reduction, 
computation efficiency and/or computation flexibility, both for 
inference and/or for learning
• Neuromorphic architectures, Spiking and brain-inspired neural networks 
and their implementation
• Efficient mapping of ML and DL applications to target architectures, 
including many-core, GPGPU, SIMD, FPGA, and HW accelerators
• New learning approaches for ML and DL, with emphasis on e.g. faster 
and more efficient learning, online learning, and quality of learning, 
training accelerators, etc.
• High-level programming language support for ML and DL
• Advanced applications exploiting ML or DL
• ML and DL for design automation
• Tools, frameworks, and system software for ML and DL
• Using of approximate computing to decrease the energy demands of ML and DL
• Security and Reliability issues for ML and DL, for both inference and 

*Deadline for paper submission: 15.April.2020
Acceptance notification: 15.May.2020
Camera ready papers: 15.June.2020
Conference: August 26 – 28, 2020, Portorož, Slovenia
*Special Session Track Chairs*
Muhammad Shafique. Vienna University of Technology, Austria, 
muhammad.shafique at tuwien.ac.at <mailto:muhammad.shafique at tuwien.ac.at>
Theocharis Theocharides. University of Cyprus, Cyprus, 
ttheocharides at ucy.ac.cy

*Submission Guidelines**
*Authors are encouraged to submit their manuscripts via EasyChair web 
service at web page https://easychair.org/conferences/?conf=dsd2020.
Should an unexpected web access problem be encountered, please contact 
the Program Chair by email Andrej.Zemva at fe.uni-lj.si.
Each manuscript should include the complete paper text, all 
illustrations, and references. The manuscript should conform to the IEEE 
format: single-spaced, double column, US letter page size, 10-point size 
Times Roman font, up to 8 pages. In order to conduct a blind review, no 
indication of the authors' names should appear in the manuscript, 
references included.
CPS, Conference Publishing Services, publishes the (ISI indexed) DSD 
Proceedings, available worldwide through the IEEE Xplore Digital Library.

*Extended versions of selected best papers will be invited for a special 
issue of the ISI indexed “Microprocessors and Microsystems: Embedded 
Hardware Design” Elsevier journal.*

More information about the hpc-announce mailing list