Call for Papers: AI Drives Our Future Life

A Special Issue with the Journal of Ambient Intelligence and Humanized Computing
Open for submissions until July 31, 2021
Submission code: AIDFLi

Summary
While “Artificial Intelligence” (AI) becomes the mainstream of application techniques breakthrough, its impact to our future life is unprecedented. AI becomes increasingly important for understanding complex data and offering intelligent processing to foster innovative business applications, self-driving cars, voice recognition, drug design, and new medical applications in the future. Recently, new technologies with explainable AI, such as federated learning, meta-learning, active learning, multi-task learning, inductive graph learning, transfer learning, and ensemble learning, have emerged and attracted considerable interests from both academic and industrial communities. Meanwhile, the rising prominence of AI has dramatically transformed a variety of domains. For intelligent wireless networks, due to privacy constraints and limited communication resources, distributed multi-agent reinforcement learning and federated learning are employed to solve complex convex and nonconvex optimization problems and collaboratively learn shared prediction models for user clustering, resource management, and interference alignment. For smart automatic driving, robust deep learning models that are capable to avoid adversarial examples are developed to analyze world state representations and behavior models, as well as forecast and control the car trajectory according to various sensors (e.g., cameras, HD maps, inertial measurement units, wheel encoders, LiDAR).

Moreover, for immersive VR and AR, Generative Adversarial Networks (GANs) have been widely adopted to address scene segmentation, depth estimation, realistic 3D modeling, image fusion, whereas effective gaze estimation and prediction algorithms are designed to reduce the computation time for immersive view rendering. For health and digitized education, AI is also the cornerstone to infer indicators of disease activities for early detection of emerging outbreaks, and to facilitate knowledge tracing for online courses. To support the above applications, domain-specific software and hardware co-design in DNN accelerators is crucial to boost the performance and energy efficiency for various computation and memory-intensive tasks, making these models usable on smaller devices at the edge of the Internet. Researchers and practitioners are jointly devoting efforts to develop solutions for related problems using various AI methods. Therefore, this special issue aims to bring together recent advances in AI for various domains to share new findings among the community and bridge the gaps between research and practice.

Scope
The topics of interest include, but are not limited to:

  • Artificial Intelligence Learning Theory and Statistics
  • AI for Healthcare and Bioinformatics
  • Artificial Intelligence on Education
  • AIoT Applications
  • AR/VR and Human Computer Interaction
  • Autonomous Driving
  • Algorithms and Computation Theory with AI
  • Big Data Systems and Analysis
  • Image Processing, Computer Graphics, and Multimedia Technologies
  • Intelligent Network
  • Intelligent Manufacturing
  • Web Intelligence and Social Network
  • Cyber Security
  • Computer Architecture, Embedded Systems, SoC, and VLSI/EDA to support AI
  • Parallel, Distributed, and Cloud/Edge Computing for AI

Submission

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Before the preparation of submissions, authors should carefully follow the author guideline from:
http://www.springer.com/engineering/computational+intelligence+and+complexity/journal/12652

The maximum page length is 12 pages considering the manuscript formatted as the paper in the final format when published on the journal website. Two additional pages are allowed during the revision. So, the final accepted papers cannot be longer than 14 pages. Papers having a format that is not in the correct format will he returned to the author by the Journal Staff.

In order to properly format your paper, please use the LaTeX template that can be found here:
ttps://static.springer.com/sgw/documents/468198/application/zip/LaTeX_DL_468198_280521.zip
and use the following LaTeX commands in the proper place of your manuscript:

\documentclass[final,twocolumn,natbib]{svjour3}
\usepackage{natbib}
………
\bibliographystyle{plainnat}
\bibliography{BIBfile_without_bib_extension}


Submitted papers will go through a strict peer review procedure. Prospective authors should  submit an electronic copy of their complete manuscript through the Springer submission system at: https://www.editorialmanager.com/aihc/default.aspx
clicking on "Submit a manuscript". Please, at the beginning of your submission select “Original Research” in “Select Article Type” and in the “Additional Information” tab please select “Yes” at the questionnaire “Does this manuscript belong to a special issue?”, then select “S.I. : AIDFLi”. After that, you can upload all of your manuscript files following the instructions given on the screen.

Guest Editors
Pau-Choo (Julia) Chung, National Cheng Kung University, Taiwan - Leading Guest Editor
Gary G. Yen, Oklahoma State University, USA
De-Nian Yang, Academia Sinica, Taipei, Taiwan
Meng-Hsun Tsai, National Cheng Kung University, Taiwan

Important Dates
Manuscript submission:  July 31, 2021
First Decision:  September 30, 2021
First Revision Submission:  October 31, 2021
Second Revision Submission:  November 30, 2021
Final Decision:  December 31, 2021