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  2. 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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  3. Find Out What Is Happening Inside Your Body "FutureHuman" | Sema Dumanlı Oktar | TEDxYouth@NKFLSchool

    Find Out What Is Happening Inside Your Body "FutureHuman" | Sema Dumanlı Oktar | TEDxYouth@NKFLSchool

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  6. The Century of the Self (2002 Full version)

    The Century of the Self (2002 Full version)

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  7. (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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  8. 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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  9. The Difference Between Writing Jokes for Bill Maher & Donald Trump | Evan Sayet

    The Difference Between Writing Jokes for Bill Maher & Donald Trump | Evan Sayet

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  10. 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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  11. 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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  12. MIT: Cognitive Tools for Making the Invisible Visible Judy Fan is an Assistant Professor of Psychology at Stanford University

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  13. 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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  14. Learning Algorithm Of Biological Networks

    Learning Algorithm Of Biological Networks

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  15. 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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  16. MIT 6.S191: Convolutional Neural Networks Alexander Amini 2025

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

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

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  22. 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. 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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