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News and Resources for Members of the IEEE Signal Processing Society
To address rapidly growing interest in artificial intelligence (AI) and machine learning (ML) for signal processing and data science, the IEEE Signal Processing Society (SPS) is launching a new special series on AI in Signal & Data Science, to be published within the IEEE Journal on Selected Topic in Signal Processing (JSTSP).
Starting in 2024, JSTSP will include a series of articles on AI in Signal and Data Science. The series will serve as a platform for communicating state-of-the-art AI/ML research for signal and data, highlighting the research challenges that remain unanswered and further exploring innovative principles and solutions to resolving them.
Accordingly, we invite the submission of high-quality manuscripts in the relevant emerging sub-topics, papers which have not been published previously and are not currently under review by any publication venues. The initial scope of this series includes cutting-edge AI areas relevant to the broader signal and data science communities such as the following topics.
Explainable Machine Learning (XML) is an area of research focused on making AI models transparent, interpretable, and accountable, including but not limited to the following common topics.
Reliable Machine Learning (RML) refers to the development of machine learning models that are robust, accurate, and able to generalize well to new data, including but not limited to the following common topics.
Sustainable Machine Learning (SML) refers to the development and deployment of machine learning models that have a minimal negative environmental impact on the society, including but not limited to the following common topics.
The special series editorial team reserves the right to recommend submissions that are deemed out of scope or modest fit to be resubmitted to other regular SPS journals for consideration.
While manuscripts can be submitted at any time indicating for this special series, interested authors are strongly encouraged to make their submissions according to the following timetable to be considered for the inaugural 2024 issues of the first half year. The timeline for additional articles in the series will be announced.
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