New1427 Videos

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(26) While vs For vs Goto-Programme

Teil der Vorlesung “Theoretische Informatik”, Sommersemester 2021, Ulrike von Luxburg, Uni Tübingen. Source of this “Tübingen Machine Learning” AI Video
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36:16

Cyber & Defence: Down The Rabbit Hole: QAnon, conspiracists and the new threat

Cyber & Defence: Down The Rabbit Hole: QAnon, conspiracists and the new threat Gone are the days when conspiracy theories existed only in the fringes of society. From capitol riots to vaccine boycotting, they’ve become a mainstream threat with real consequences. This panel investigates how these networks grow, and what we can do to mitigate […]
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01:24:05

Lecture 13: Recurrent Networks

00:00 Introduction 00:14:55 Finite Response Model 00:23:00 Infinite Response System 00:30:00 NARX Network 00:34:30 Jordan Network 00:35:50 Elman Network 00:43:00 State Space Model 00:51:30 Recurrent Neural Network 00:59:10 Variants 01:04:30 Training the RNN 01:10:50 Backpropagation through RNN YouTube Source for this AI Video
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51:57

Meet the Rising Stars of Founders Factory & First Minute Capital with Brent Hoberman | CogX 2019

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ Meet the Rising Stars of Founders Factory & First Minute Capital with Brent Hoberman. Presentation given at CogX 2019, on the Innovation, Investment & the Economy […]
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46:29

Computer Vision – Lecture 6.3 (Applications of Graphical Models: Optical Flow)

Lecture: Computer Vision (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/ Source of this “Tübingen Machine Learning” AI Video
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19:58

Keynote: Deepfakes and Disinformation by Shuman Ghosemajumder | CogX 2019

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ Deep Fakes and Disinformation presented by Shuman Ghosemajumder at CogX 2019 on the Ethics Stage. CogX is hosted by Charlie Muirhead Co-Founder and CEO, and Co-Founder […]
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01:22:38

Lecture 10 | CNNs pt 2

Carnegie Mellon University Course: 11-785, Intro to Deep Learning Offering: Fall 2020 For more information, please visit: https://deeplearning.cs.cmu.edu/ YouTube Source for this AI Video
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30:12

Reimagining the material basis of our civilization | CogX 2020

Reimagining the material basis of our civilization Bjarke Ingels – Founding Partner – Bjarke Ingels Group Gerard Barron – CEO & Chairman – DeepGreen There’s never been a greater need to explore the role that technology will play in helping us rebuild, reconstruct and get the next 10 years right. How do we embed resilience […]
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02:13

Probabilistic Numerics for ODEs 8: ODE filters can efficiently solve Inverse Problems

This video is part of a ten-part spotlight series on Probabilistic Numerical Methods for (ordinary) differential equations. In this eighth video, Emilia Magnani presents work by Kersting et al. that shows probabilistic ODE filters provide differentials of the solution with respect to the vector field at essentially no cost (even less than explicit automatic differentiation […]
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16:39

CogX 2018 – Ethics of Brain-Computer Interfaces | CogX

Join the CogX Global Leadership Summit and Festival of AI and Breakthroughs Technology – June 8th to 10th 2020 – https://cogx.co/ Subscribe to our epic newsletters for free https://cognitionx.com/newsletter-subscribe/ CogX 2018 – Ethics of Brain-Computer Interfaces Karina Vold, Philosopher & Research Fellow, Leverhulme Centre for the Future of Intelligence, University of Cambridge —————————————————————————————————————- CognitionX: The […]
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54:29

Self-Driving Cars – Lecture 1.3 (Introduction: History of Self-Driving)

Lecture: Self-Driving Cars (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/self-driving-cars/ Source of this “Tübingen Machine Learning” AI Video
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45:50

Open Web: DeFi – Beyond Arbitrage and Trading

Open Web: DeFi – Beyond Arbitrage and Trading Curated with: Fabric Ventures With the replication of traditional financial instruments and creation of entirely new ones, what is next for Decentralised Finance? Featuring: Dmitry Tokarev – Chief Executive Officer – Copper.co Anatoly Crachilov – CEO and Co-Founder – Nickel Digital Asset Management Francesco Renzi – Co-Founder […]
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05:46

Recitation 0d | Dataset and Data Loaders

Python Notebook: https://colab.research.google.com/drive/1B7txmVhPfNPjI_QkqNDLm2x62JivmdSn?usp=sharing Reference Link: https://libraries.io/github/deepology/ideel-tutorials For more information, please visit: http://deeplearning.cs.cmu.edu/ YouTube Source for this AI Video
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17:10

Computer Vision – Lecture 4.3 (Stereo Reconstruction: Siamese Networks)

Lecture: Computer Vision (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/ Source of this “Tübingen Machine Learning” AI Video
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39:22

CreaTech: Tech vs media rules: Time for a level playing field

CreaTech: Tech vs media rules: Time for a level playing field The media landscape is changing rapidly and new regulations and policies are coming our way in different areas. From online advertising to competition regulation and content moderation rules. In this session, we explore the changes in the TV and online video markets in relation […]
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17:04

Computer Vision – Lecture 6.1 (Applications of Graphical Models: Stereo Reconstruction)

Lecture: Computer Vision (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and Solutions: https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/ Source of this “Tübingen Machine Learning” AI Video