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  1. 5/4/25 Govt. admits to trafficking children, DC Heli pilot appears to be connected to Soros, Tulsi targets Fauci, Ukraine threatens to target Moscow Parade, Pfizer likely unalived 470K Americans & more!

    5/4/25 Govt. admits to trafficking children, DC Heli pilot appears to be connected to Soros, Tulsi targets Fauci, Ukraine threatens to target Moscow Parade, Pfizer likely unalived 470K Americans & more!

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  2. Whistleblowers were targeted by Border Agency after exposing federal DNA Collection law violations

    Whistleblowers were targeted by Border Agency after exposing federal DNA Collection law violations

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  4. 🚨BREAKING: FAUCI DESTROYED! Trump's Pen Just ENDED His Entire Career! The Evidence Is HERE!

    🚨BREAKING: FAUCI DESTROYED! Trump's Pen Just ENDED His Entire Career! The Evidence Is HERE!

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  5. What Happens to Nanoparticles After they have been Internalized by Cells? Prof. Dr. Wolfgang J. Parak, Department of Physics, Philipps University of Marburg

    What Happens to Nanoparticles After they have been Internalized by Cells? Prof. Dr. Wolfgang J. Parak, Department of Physics, Philipps University of Marburg

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  6. 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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  7. 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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  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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  10. 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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  11. Learning Algorithm Of Biological Networks

    Learning Algorithm Of Biological Networks

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  12. (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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  13. 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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  14. Unlocking new capacity in 6G cellular systems via site-specific ML-aided design | ITU-JFET Jeffrey Andrews, The University of Texas at Austin, USA Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU-JFET

    Unlocking new capacity in 6G cellular systems via site-specific ML-aided design | ITU-JFET Jeffrey Andrews, The University of Texas at Austin, USA Moderators: Ian F. Akyildiz, Editor-in-Chief, ITU-JFET

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  15. Nanoseminar in Medicine & Health - Jointly organised by ICN2 and Nanomedcine Lab, University of Manchester -, by: Prof. Bradley Nelson, ETH Zurich, Switzerland

    Nanoseminar in Medicine & Health - Jointly organised by ICN2 and Nanomedcine Lab, University of Manchester -, by: Prof. Bradley Nelson, ETH Zurich, Switzerland

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  16. Microsystems & Nanorobots Actuated by Light, Magnetic Fields, & 3D Ultrasound - Prof. Peer Fischer Micro Nano and Molecular Systems Lab Univ. of Stuttgart

    Microsystems & Nanorobots Actuated by Light, Magnetic Fields, & 3D Ultrasound - Prof. Peer Fischer Micro Nano and Molecular Systems Lab Univ. of Stuttgart

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  17. Biological Layer for 6G/B6G: Einstein, Reynolds, and Communications | Professor Chan-Byoung Chae IEEE Fellow, Underwood Distinguished Professor in the School of Integrated Technology, Yonsei University 2022

    Biological Layer for 6G/B6G: Einstein, Reynolds, and Communications | Professor Chan-Byoung Chae IEEE Fellow, Underwood Distinguished Professor in the School of Integrated Technology, Yonsei University 2022

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

    George Malliaras - Technology for Bioelectronic Medicine Ankara Üniversitesi Sinirbilim Topluluğu

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  20. 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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  21. 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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  22. Earthbound Foundations: Critical Networks Enabling LEO Constellations ITU(JFET)

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

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  23. 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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  24. 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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  25. MIT: Cognitive Tools for Making the Invisible Visible Judy Fan is an Assistant Professor of Psychology at Stanford University

    MIT: Cognitive Tools for Making the Invisible Visible Judy Fan is an Assistant Professor of Psychology at Stanford University

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