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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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  2. Nita Farahany tells the WEF that brain sensors embedded in headphones and other Commercial devices will soon be monitoring the population's brain activity 2023

    Nita Farahany tells the WEF that brain sensors embedded in headphones and other Commercial devices will soon be monitoring the population's brain activity 2023

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  3. Towards 6G Wireless Communication Networks - Vision, Enabling Technologies, and New Paradigm Shifts by H. Vincent Poor IEEE COMSOC

    Towards 6G Wireless Communication Networks - Vision, Enabling Technologies, and New Paradigm Shifts by H. Vincent Poor IEEE COMSOC

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  4. Body Area Network – Connecting Things Together Around the Human Body - Jerald Yoo IEEE SOLID STATE CIRCUITS SOCIETY

    Body Area Network – Connecting Things Together Around the Human Body - Jerald Yoo IEEE SOLID STATE CIRCUITS SOCIETY

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  5. 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

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  6. (CGSR) talk entitled "Brain Science from Bench to Battlefield: The Realities – and Risks – of Neuroweapons” by Dr. James Giordano on June 12, 2017

    (CGSR) talk entitled "Brain Science from Bench to Battlefield: The Realities – and Risks – of Neuroweapons” by Dr. James Giordano on June 12, 2017

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    2.09K
  7. Learning Algorithm Of Biological Networks

    Learning Algorithm Of Biological Networks

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  8. Quantum Computing: Where We Are and Where We’re Headed | NVIDIA GTC 2025

    Quantum Computing: Where We Are and Where We’re Headed | NVIDIA GTC 2025

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  9. MIT 6.S191: Convolutional Neural Networks Alexander Amini 2025

    MIT 6.S191: Convolutional Neural Networks Alexander Amini 2025

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    1.58K
  10. Wireless Medical Microsystems ~ Senior Vice Provost for Research and Innovation Georgia Institute of Technology

    Wireless Medical Microsystems ~ Senior Vice Provost for Research and Innovation Georgia Institute of Technology

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  11. Biosensors - Enormous Opportunity and Big Challenges ~ Founder and CEO, Jessica Gomez highlights the opportunity and challenges for biosensors

    Biosensors - Enormous Opportunity and Big Challenges ~ Founder and CEO, Jessica Gomez highlights the opportunity and challenges for biosensors

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  12. Internet of Everything (IoE): From molecules to the universe​​ | Ozgur B. Akan​, University of Cambridge, UK Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET) 2025

    Internet of Everything (IoE): From molecules to the universe​​ | Ozgur B. Akan​, University of Cambridge, UK Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET) 2025

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  13. 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

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  14. GA4GH Passports Webinar Part 1: Benefits of Integrating a Global Electronic ID for Accessing Biomedical Data

    GA4GH Passports Webinar Part 1: Benefits of Integrating a Global Electronic ID for Accessing Biomedical Data

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  16. Terahertz beam engineering: A new quality productive force| Speaker: Chong Han, Shanghai Jiao Tong University, China Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET)

    Terahertz beam engineering: A new quality productive force| Speaker: Chong Han, Shanghai Jiao Tong University, China Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET)

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    1.35K
  17. Here’s How Biocomputing Works And Matters For AI | Bloomberg Primer

    Here’s How Biocomputing Works And Matters For AI | Bloomberg Primer

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  18. Extreme NEMS - Opportunities at the Limits of the Nanoscale MIT Professor Farnaz Nirouri pushed the limits of miniaturizing MEMS with her work on nano-scale electromechanical systems (NEMS) devices

    Extreme NEMS - Opportunities at the Limits of the Nanoscale MIT Professor Farnaz Nirouri pushed the limits of miniaturizing MEMS with her work on nano-scale electromechanical systems (NEMS) devices

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    1.45K
  19. Bio-Interfaced Soft Electronics for Human-Machine Interfaces and Health Monitoring Prof. W. Hong Yeo Woodruff School of Mechanical Engineering, Georgia Institute of Technology

    Bio-Interfaced Soft Electronics for Human-Machine Interfaces and Health Monitoring Prof. W. Hong Yeo Woodruff School of Mechanical Engineering, Georgia Institute of Technology

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  20. George Malliaras - Technology for Bioelectronic Medicine Ankara Üniversitesi Sinirbilim Topluluğu

    George Malliaras - Technology for Bioelectronic Medicine Ankara Üniversitesi Sinirbilim Topluluğu

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  21. MIT 6.S191 (Google): Large Language Models 2025 Peter Grabowski leads an applied research team focused on Gemini at Google

    MIT 6.S191 (Google): Large Language Models 2025 Peter Grabowski leads an applied research team focused on Gemini at Google

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  22. Machine Learning I Building Large Language Models (LLMs) Stanford's Artificial Intelligence programs Yann Dubois is a fourth-year CS PhD student

    Machine Learning I Building Large Language Models (LLMs) Stanford's Artificial Intelligence programs Yann Dubois is a fourth-year CS PhD student

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  23. Learned task-oriented compression for 6G​​ | Speaker: Elza Erkip​, New York University, USA Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET)

    Learned task-oriented compression for 6G​​ | Speaker: Elza Erkip​, New York University, USA Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU(JFET)

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    1.06K
  24. Earthbound Foundations: Critical Networks Enabling LEO Constellations ITU(JFET)

    Earthbound Foundations: Critical Networks Enabling LEO Constellations ITU(JFET)

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  25. MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Ava Amini 2025

    MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Ava Amini 2025

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