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02:45

Two Minute Papers: Digital Creatures Learn to Navigate in 3D | Two Minute Papers #153

The paper “DeepLoco: Dynamic Locomotion Skills Using Hierarchical Deep Reinforcement Learning” is available here: http://www.cs.ubc.ca/~van/papers/2017-TOG-deepLoco/index.html Two Minute Papers Merch: US: http://twominutepapers.com/ EU/Worldwide: https://shop.spreadshirt.net/TwoMinutePapers/ WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Andrew Melnychuk, Christian Lawson, Dave Rushton-Smith, Dennis Abts, e, Esa Turkulainen, Michael Albrecht, Sunil Kim, VR Wizard. […]
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Two Minute Papers: Deep Photo Style Transfer | Two Minute Papers #150

The paper “Deep Photo Style Transfer” is and its source code is available here: https://arxiv.org/pdf/1703.07511.pdf https://github.com/luanfujun/deep-photo-styletransfer One more different implementation: https://github.com/martinbenson/deep-photo-styletransfer Two Minute Papers Merch: US: http://twominutepapers.com/ EU/Worldwide: https://shop.spreadshirt.net/TwoMinutePapers/ Distill: http://distill.pub/ Distill article on research debt: http://distill.pub/2017/research-debt/ Recommended for you: How Do Neural Networks See The World? – https://www.youtube.com/watch?v=hBobYd8nNtQ WE WOULD LIKE TO THANK OUR […]
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Two Minute Papers: Phace: Physics-based Face Modeling and Animation | Two Minute Papers #172

The paper “Phace: Physics-based Face Modeling and Animation” is available here: http://lgg.epfl.ch/publications/2017/Phace/index.php Our Patreon page: https://www.patreon.com/TwoMinutePapers Two Minute Papers Merch: US: http://twominutepapers.com/ EU/Worldwide: https://shop.spreadshirt.net/TwoMinutePapers/ WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Andrew Melnychuk, Christian Lawson, Dave Rushton-Smith, Dennis Abts, e, Esa Turkulainen, Kaben Gabriel Nanlohy, Michael Albrecht, […]
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03:19

Two Minute Papers: This Autonomous Robot Models Your House Interior | Two Minute Papers #222

The paper “Autonomous Reconstruction of Unknown Indoor Scenes Guided by Time-varying Tensor Fields” and its source code is available here: http://vcc.szu.edu.cn/research/2017/tfnav/ We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dave Rushton-Smith, Dennis Abts, Emmanuel, Eric Haddad, Esa Turkulainen, Evan Breznyik, […]
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Two Minute Papers: AI Learns To Improve Smoke Simulations | Two Minute Papers #188

The paper “Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors” is available here: Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors Recommended for you: Wavelet Turbulence – https://www.youtube.com/watch?v=5xLSbj5SsSE Neural Network Learns The Physics of Fluids and Smoke – https://www.youtube.com/watch?v=iOWamCtnwTc We would like to thank our generous Patreon supporters who make Two Minute Papers […]
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Two Minute Papers: How Do Neural Networks See The World? Pt 2. | Two Minute Papers #211

The paper “Feature Visualization” is available here: https://distill.pub/2017/feature-visualization/ Our Patreon page with the details: https://www.patreon.com/TwoMinutePapers One-time payments: PayPal: https://www.paypal.me/TwoMinutePapers Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh Distill journal: https://distill.pub/ Recommended for you: How Do Neural Networks See The World? https://www.youtube.com/watch?v=hBobYd8nNtQ We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christian […]
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Impact of AI in Education Panel | CogX17 Highlights | 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/ It is crucial to equip society with the right skills for the AI era. AI affects what students learn and how they learn it. As AI […]
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Two Minute Papers: AI Beats Radiologists at Pneumonia Detection | Two Minute Papers #214

The paper “CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning” is available here: https://stanfordmlgroup.github.io/projects/chexnet/ Interesting commentary on the article, check this one out too! Quick thoughts on ChestXray14, performance claims, and clinical tasks. Our Patreon page with the details: https://www.patreon.com/TwoMinutePapers One-time payments: PayPal: https://www.paypal.me/TwoMinutePapers Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A We would like to thank our […]
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Adversarial Attacks on Neural Networks – Bug or Feature?

❤️ Support us on Patreon: https://www.patreon.com/TwoMinutePapers 📝 The paper “Adversarial Examples Are Not Bugs, They Are Features” is available here: http://gradientscience.org/adv/ The Distill discussion article is available here: https://distill.pub/2019/advex-bugs-discussion/ If you wish to play with some of these Distill articles, look here: – https://distill.pub/2017/feature-visualization/ – https://distill.pub/2018/building-blocks/ Andrej Karpathy’s image classifier – you can run this […]
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03:15

One Pixel Attack Defeats Neural Networks | Two Minute Papers #240

The paper “One pixel attack for fooling deep neural networks” is available here: https://arxiv.org/abs/1710.08864 This seems like an unofficial implementation: https://github.com/Hyperparticle/one-pixel-attack-keras Differential evolution animation credit: https://pablormier.github.io/2017/09/05/a-tutorial-on-differential-evolution-with-python/ Our Patreon page: https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, […]
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Image Synthesis From Text With Deep Learning | Two Minute Papers #116

The paper “StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks” is available here: https://arxiv.org/abs/1612.03242 Source code for this project is also available here: https://github.com/hanzhanggit/StackGAN We have a Patreon post on the improvements you can expect from Two Minute Papers in 2017. Lots of goodies behind the link, have a look! https://www.patreon.com/posts/7607896 Our […]
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AI for Earth with Dr. Lucas Joppa

Episode 72 | April 17, 2019 We hear a lot these days about “AI for good” and the efforts of many companies to harness the power of artificial intelligence to solve some of our biggest environmental challenges. It’s rare, however, that you find a company willing to bring its environmental bona fides all the way […]
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05:50

AI Creates Facial Animation From Audio | Two Minute Papers #185

The paper “Audio-Driven Facial Animation by Joint End-to-End Learning of Pose and Emotion” is available here: http://research.nvidia.com/publication/2017-07_Audio-Driven-Facial-Animation Our Patreon page and the newest post on empowering research projects: https://www.patreon.com/TwoMinutePapers https://www.patreon.com/posts/14199475 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Dave Rushton-Smith, Dennis Abts, Eric Swenson, Esa Turkulainen, […]
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04:28

AI Makes Stunning Photos From Your Drawings (pix2pix) | Two Minute Papers #133

Online demo of pix2pix (try drawing there!): https://affinelayer.com/pixsrv/ The paper “Image-to-Image Translation with Conditional Adversarial Nets” and its source code is available here: https://phillipi.github.io/pix2pix/ Twitter: https://twitter.com/search?vertical=default&q=pix2pix&src=typd More amusing results: http://www.neogaf.com/forum/showthread.php?t=1346254&page=1 http://thechive.com/2017/02/22/this-drawing-to-image-machine-is-made-of-nightmares-17-photos/ Recommended for you: Image Editing with Generative Adversarial Networks – https://www.youtube.com/watch?v=pqkpIfu36Os WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE […]
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Scaling TensorFlow at LinkedIn with Jonathan Hung – #314

Today we’re joined by Jonathan Hung, Sr. Software Engineer at LinkedIn, who we caught up with at TensorFlow World last week. In our conversation, we discuss: Jonathan’s presentation at the event focused on LinkedIn’s efforts scaling Tensorflow. Jonathan’s work as part of the Hadoop infrastructure team, including experimenting on Hadoop with various frameworks, and their […]
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Impact of AI on the Online Customer Experience Panel | CogX17 Highlights | 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/ In the US alone, businesses lose an estimated $1.6 trillion annually due to poor customer service. Could AI improve customer experiences? Some certainly think so. It’s […]
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AI and Society: Past, Present and Future with Eric Horvitz – #493

Today we continue our AI Innovation series joined by Microsoft’s Chief Scientific Officer, Eric Horvitz. In our conversation with Eric, we explore his tenure as AAAI president and his focus on the future of AI and its ethical implications, the scope of the study on the topic, and how drastically the AI and machine learning […]
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My First Time Speaking In Public – TDBS 20 April 2017

I gave my first ever public speech when I was 11 years old in 2004. It was called “The Wacko Watch”. It was a smart watch (that wasn’t a term back then) that could do a whole bunch of cool things. I remember how scared I was getting up in front of a crowd. Those […]
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Feature Ranking in Keras and Scikit-Learn: Perturbation Ranking

Perturbation Ranking will tell which imports are the most important for any machine learning model, such as a deep neural network. The provided code work with TensorFlow and Keras. Because Perturbation ranking uses no internal model information (only results from generated inputs), it can be used with any classification or regression model. Code for this […]
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A Template For Cold Emails – TDBS 25 April 2017

I plan on using this template in the near future! After reading around online, I’ve put together 5 points to think about when cold emailing someone. Credit goes to @noahkagan for the foundation of the template and the idea for this episode. Daily challenge: Ask for something/Ask a question. Question pops into your head? Ask […]
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Self-Awareness Is A Super Power – TDBS 24 April 2017

I’ve been finding it hard lately to switch off. Especially when hanging out with friends, I consistently feel like I should be working. In this episode, I try and work out why this is, as well as how I can deal with it and move forward. Daily Challenge: Try out the Headspace app and write […]
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