[Om-announce] Call for Papers of Journal of Ambient Intelligence and Humanized Computing Special Issue on “AI Drives Our Future Life”

[睿翊蔡]

Call for Papers of Journal of Ambient Intelligence and Humanized Computing
Special Issue on “AI Drives Our Future Life”

SUMMARY
While “Artificial Intelligence” (AI) becomes the mainstream of application
techniques breakthrough, its impacts 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 PROCEDURE
All manuscripts must be prepared and submitted following to the submission
guidelines of Journal of Ambient Intelligence and Humanized Computing that
can be accessed at
https://www.springer.com/journal/12652/submission-guidelines?IFA.
Submission of a manuscript implies that the work described has not been
published before, and that it is not under consideration for publication
anywhere else. All submitted papers will go through the same review process
as the regular Journal of Ambient Intelligence and Humanized Computing
paper submissions. Referees will consider originality, significance,
technical soundness, clarity of exposition, and relevance to the special
issue topics above.

IMPORTANT DATES
Manuscript submission: June 30, 2021
First Decision: September 15, 2021
First Revision Submission: October 15 2021
Second Revision Submission: October 30, 2021
Final Decision: November 10, 2021

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