Call for Papers of Journal of Ambient Intelligence and Humanized Computing Special Issue on “AI Drives Our Future Life”
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.
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
AR/VR and Human Computer Interaction
Algorithms and Computation Theory with AI
Big Data Systems and Analysis
Image Processing, Computer Graphics, and Multimedia Technologies
Web Intelligence and Social Network
Computer Architecture, Embedded Systems, SoC, and VLSI/EDA to support AI
Parallel, Distributed, and Cloud/Edge Computing for AI
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.
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
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