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  1. ITU: Deep learning for physical layer wireless communication networks and sensing radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities

    ITU: Deep learning for physical layer wireless communication networks and sensing radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities

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    1.38K
  2. WOCC 2020 Keynote K3: Massachusetts Institute of Technology, “Using Deep Neural Networks in Physical Layer Communication Problems” by Prof. Lizhong Zheng - MIT

    WOCC 2020 Keynote K3: Massachusetts Institute of Technology, “Using Deep Neural Networks in Physical Layer Communication Problems” by Prof. Lizhong Zheng - MIT

    7
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    1.43K
  3. MIT Introduction to Deep Learning: Lecture 10 AI Optimized for Biology Lecturer: Ava Amini (Principal Research Scientist) Microsoft 2025

    MIT Introduction to Deep Learning: Lecture 10 AI Optimized for Biology Lecturer: Ava Amini (Principal Research Scientist) Microsoft 2025

    5
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    1.54K
  4. IEEE: “Using Deep Neural Networks in Physical Layer Communication Problems” by Prof. Lizhong Zheng - MIT

    IEEE: “Using Deep Neural Networks in Physical Layer Communication Problems” by Prof. Lizhong Zheng - MIT

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  5. ITU: Deep learning for physical layer wireless communication networks and sensing radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities

    ITU: Deep learning for physical layer wireless communication networks and sensing radio propagation channel characteristics and modeling approaches from below 6 GHz to the millimeter wave and THz spectrum bands, with a focus on AI/ML opportunities

    16