NEWS MERL Researchers gave a Tutorial Talk on Quantum Machine Learning for Sensing and Communications at IEEE GLOBECOM
Date released: December 13, 2022
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NEWS MERL Researchers gave a Tutorial Talk on Quantum Machine Learning for Sensing and Communications at IEEE GLOBECOM Date:
December 8, 2022
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Description:
On December 8, 2022, MERL researchers Toshiaki Koike-Akino and Pu (Perry) Wang gave a 3.5-hour tutorial presentation at the IEEE Global Communications Conference (GLOBECOM). The talk, titled "Post-Deep Learning Era: Emerging Quantum Machine Learning for Sensing and Communications," addressed recent trends, challenges, and advances in sensing and communications. P. Wang presented on use cases, industry trends, signal processing, and deep learning for Wi-Fi integrated sensing and communications (ISAC), while T. Koike-Akino discussed the future of deep learning, giving a comprehensive overview of artificial intelligence (AI) technologies, natural computing, emerging quantum AI, and their diverse applications. The tutorial was conducted remotely. MERL's quantum AI technology was partly reported in the recent press release (https://us.mitsubishielectric.com/en/news/releases/global/2022/1202-a/index.html).
The IEEE GLOBECOM is a highly anticipated event for researchers and industry professionals in the field of communications. Organized by the IEEE Communications Society, the flagship conference is known for its focus on driving innovation in all aspects of the field. Each year, over 3,000 scientific researchers submit proposals for program sessions at the annual conference. The theme of this year's conference was "Accelerating the Digital Transformation through Smart Communications," and featured a comprehensive technical program with 13 symposia, various tutorials and workshops. -
External Link:
https://globecom2022.ieee-globecom.org/program/technical-tutorials
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MERL Contacts:
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Research Areas:
Artificial Intelligence, Communications, Computational Sensing, Machine Learning, Signal Processing
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,BibTeX TR2022-121 PDF Video Presentation- @inproceedings{Koike-Akino2022sep,
- author = {Koike-Akino, Toshiaki and Wang, Ye},
- title = {quEEGNet: Quantum AI for Biosignal Processing},
- booktitle = {IEEE Conference on Biomedical and Health Informatics (BHI)},
- year = 2022,
- month = sep,
- publisher = {IEEE},
- doi = {10.1109/BHI56158.2022.9926814},
- issn = {2641-3604},
- isbn = {978-1-6654-8791-7},
- url = {https://www.merl.com/publications/TR2022-121}
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,BibTeX TR2022-110 PDF Video Presentation- @inproceedings{Koike-Akino2022aug,
- author = {Koike-Akino, Toshiaki and Wang, Pu and Yamashita, Genki and Tsujita, Wataru and Nakajima, M.},
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,BibTeX TR2022-105 PDF- @article{Yu2022jul,
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,BibTeX TR2022-068 PDF Video Presentation- @inproceedings{Koike-Akino2022jun,
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,BibTeX TR2022-052 PDF Video Presentation- @inproceedings{Liu2022may3,
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,BibTeX TR2022-044 PDF Video Presentation- @inproceedings{Koike-Akino2022may2,
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,BibTeX TR2020-159 PDF- @inproceedings{Wang2020dec,
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- title = {Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: NLOS Propagation},
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,BibTeX TR2020-158 PDF- @inproceedings{Yu2020dec,
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- title = {Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi},
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,BibTeX TR2020-054 PDF- @article{Koike-Akino2020apr,
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