[CFP] JAIHC 2021 Call for Papers

TC
Ting-An Chen
Sat, Feb 20, 2021 6:02 AM

This is the CALL FOR PAPERS mail for the Journal of Ambient Intelligence
and Humanized Computing Special Issue on “AI Drives Our Future Life”. More
details are listed below or see in the attachment.


CALL FOR PAPERS
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 forvarious 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, 2021Final Decision: November 10,
2021
GUEST EDITORS
Pau-Choo (Julia) Chung
Gary G. Yen
De-Nian Yang
Meng-Hsun Tsai
National Cheng Kung University, Taiwan
Oklahoma State University, USA
Academia Sinica, Taipei, Taiwan
National Cheng Kung University, Taiwan

------------------------------- This is the CALL FOR PAPERS mail for the Journal of Ambient Intelligence and Humanized Computing Special Issue on “AI Drives Our Future Life”. More details are listed below or see in the attachment. ------------------------------- CALL FOR PAPERS 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 forvarious 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, 2021Final Decision: November 10, 2021 GUEST EDITORS Pau-Choo (Julia) Chung Gary G. Yen De-Nian Yang Meng-Hsun Tsai National Cheng Kung University, Taiwan Oklahoma State University, USA Academia Sinica, Taipei, Taiwan National Cheng Kung University, Taiwan