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Two Minute Papers: AI Learns Human Pose Estimation From Videos | Two Minute Papers #237

The paper “DensePose: Dense Human Pose Estimation In The Wild” is available here: https://arxiv.org/abs/1802.00434 http://densepose.org/ 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, Emmanuel, Eric Haddad, Esa Turkulainen, Evan Breznyik, Frank Goertzen, Malek Cellier, […]
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Deepmind's Crazy Plan To Surpass OpenAI's Best AI

Google’s Deepmind is working on a rather crazy and unique plan to surpass OpenAI’s biggest and best Artificial Intelligence Model within the next few months. In a new paper, AI researchers at DeepMind present a new technique to improve the capacity of reinforcement learning agents to cooperate with humans at different skill levels. Accepted at […]
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Two Minute Papers: OpenAI – Learning Dexterous In-Hand Manipulation

Check out “Superintelligence: Paths, Dangers, Strategies” on Audible: US: https://amzn.to/2RXr32F EU: https://amzn.to/2SqauwI The paper “Learning Dexterous In-Hand Manipulation” is available here: https://blog.openai.com/learning-dexterity/ https://arxiv.org/abs/1808.00177 Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, […]
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SingularityNET: General Theory of General Intelligence: Specializing Maximally General AGI (6/10)

This is Episode 6 in a series of videos discussing the General Theory of General Intelligence as overviewed in the paper Goertzel, Ben. “The General Theory of General Intelligence: A Pragmatic Patternist Perspective.” https://arxiv.org/pdf/2103.15100 This episode overviews some work (some quite recent and some older) formulating a general mathematical and conceptual framework for AGI algorithms […]
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Two Minute Papers: Deep Image Prior | Two Minute Papers #219

The paper “Deep Image Prior” and its source code is available here: https://dmitryulyanov.github.io/deep_image_prior Our Patreon page with the details: https://www.patreon.com/TwoMinutePapers One-time payment links are available below. Thank you very much for your generous support! PayPal: https://www.paypal.me/TwoMinutePapers Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A We would like to thank our generous Patreon supporters who make Two Minute Papers possible: […]
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CoRL 2020, Spotlight Talk 516: Multi-Level Structure vs. End-to-End-Learning in High-Performance …

“**Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation** Florian Voigt (Technical University of Munich)*; Lars Johannsmeier (Technical University of Munich); Sami Haddadin (Technical University of Munich) Publication: http://corlconf.github.io/paper_516/ **Abstract** In this paper we apply a multi-level structure to robotic manipulation learning. It consists of a hybrid dynamical system we denote skill and a parameter […]
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Two Minute Papers: This AI Shows Us the Sound of Pixels

The paper “The Sound of Pixels” is available here: http://sound-of-pixels.csail.mit.edu/ Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Eric Martel, […]
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Self-Driving Cars – Lecture 6.4 (Vehicle Control: Optimal Control)

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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PyTorch Developer Day 2021

The YouTube livestream started late so this version misses first two hours. To see the full livestream, refer to one of these videos: – https://twitter.com/PyTorch/status/1466059350192107521 – https://www.facebook.com/pytorch/videos/3033305430219965 We’re working to upload all videos from the event within a next few days. PyTorch Developer Day brings together leading academics, researchers and developers from the Machine Learning […]
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Two Minute Papers: Neural Image Stitching And Morphing | Two Minute Papers #256

The paper “Neural Best-Buddies: Sparse Cross-Domain Correspondence” is available here: https://arxiv.org/abs/1805.04140 Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers We would like to thank our generous Patreon supporters who make Two Minute Papers possible: 313V, Andrew Melnychuk, Brian Gilman, Christian Ahlin, Christoph Jadanowski, Dennis Abts, Emmanuel, Eric Haddad, Esa Turkulainen, Geronimo Moralez, Kjartan Olason, […]
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CoRL 2020, Spotlight Talk 221: Towards General and Autonomous Learning of Core Skills: A Case Stu…

“**Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion** Roland Hafner (Google DeepMind)*; Tim Hertweck (DeepMind); Philipp Kloeppner (TU Darmstadt); Michael Bloesch (Google); Michael Neunert (Google DeepMind); Markus Wulfmeier (DeepMind); Saran Tunyasuvunakool (DeepMind); Nicolas Heess (DeepMind); Martin Riedmiller (DeepMind) Publication: http://corlconf.github.io/paper_221/ **Abstract** Modern Reinforcement Learning (RL) algorithms promise to solve difficult […]
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SingularityNET: 🧑‍🚀 🚀 KYC, Cardano Nodes, IDO Partners & More – NuNet AMA with CEO Kabir Veitas

KYC Instructions: https://medium.com/nunet/nunet-kyc-guide-dcf777d64e75 KYC Link: https://nunet-community.synaps.io/ NuNet’s NTX Token Launch: https://medium.com/nunet/nunets-ntx-utility-token-launch-2217147c40ca AMA Form: https://forms.gle/8U94LccikXaZN5RAA NuNet Telegram: https://t.me/NuNet_community NuNet Telegram Announcements: https://t.me/NuNet_global —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine […]
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Two Minute Papers: OpenAI’s Bot Beats DOTA World Champion Dendi | Two Minute Papers #180

Some updates and clarifications follow: Update 1: we seem to have conflicting information on the training times – both 24 hours and 2 weeks was mentioned. We’ll make sure to address this when the official paper appears. Update 2: more from OpenAI – https://blog.openai.com/more-on-dota-2/ Update 3: more reddit discussion on how to trick the bot […]
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CoRL 2020, Spotlight Talk 245: Learning to Walk in the Real World with Minimal Human Effort

**Learning to Walk in the Real World with Minimal Human Effort** Sehoon Ha (Georgia Institute of Technology); Peng Xu (Google Inc); Zhenyu Tan (Google); Sergey Levine (UC Berkeley)*; Jie Tan (Google) Publication: http://corlconf.github.io/paper_245/ **Abstract** Reliable and stable locomotion has been one of the most fundamental challenges for legged robots. Deep reinforcement learning (deep RL) has […]
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AI for Healthcare with Peter Lee – TWiML Talk #231

In this episode, we’re joined by Peter Lee, Corporate Vice President at Microsoft Research responsible for the company’s healthcare initiatives. Peter and I met a few months ago at the Microsoft Ignite conference, where he gave me some really interesting takes on AI development in China. You can find more on that topic in the […]
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Two Minute Papers: Extracting Rotations The Right Way

The paper “A Robust Method to Extract the Rotational Part of Deformations” is available here: http://matthias-mueller-fischer.ch/publications/stablePolarDecomp.pdf Our work with Activision-Blizzard is available here: › Project page: https://users.cg.tuwien.ac.at/zsolnai/gfx/separable-subsurface-scattering-with-activision-blizzard/ › Video: https://www.youtube.com/watch?v=72_iAlYwl0c Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers […]
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CoRL 2020, Spotlight Talk 203: Contrastive Variational Reinforcement Learning for Complex Observa…

**Contrastive Variational Reinforcement Learning for Complex Observations** Xiao Ma (National University of Singapore)*; SIWEI CHEN (National University of Singapore); David Hsu (NUS); Wee Sun Lee (National University of Singapore) Publication: http://corlconf.github.io/paper_203/ **Abstract** Deep reinforcement learning (DRL) has achieved significant success in various robot tasks: manipulation, navigation, etc. However, complex visual observations in natural environments remains […]
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SingularityNET: 👀 LIVE AMA + MEET THE NEW SINGULARITYDAO CTO CHRIS POULIN

SINGULARITYDAO YOUTUBE CHANNEL: https://www.youtube.com/channel/UCuMyFDPebbrVKdRD2Nddnzw HELP US GET TO 1000 SUBSCRIBERS SO WE CAN LIVE STREAM THERE 😀 SINGULARITYDAO TELEGRAM CHANNEL: https://t.me/SingularityDAO NUNET TELEGRAM CHANNEL: https://t.me/NuNet_community —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the […]
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Two Minute Papers: Latent Space Human Face Synthesis | Two Minute Papers #191

The paper “Optimizing the Latent Space of Generative Networks” is available here: https://arxiv.org/pdf/1707.05776.pdf Khan Academy’s video on the Nash equilibrium: https://www.khanacademy.org/economics-finance-domain/microeconomics/nash-equilibrium-tutorial/nash-eq-tutorial/v/prisoners-dilemma-and-nash-equilibrium Earlier episodes showcased in the video: Image Editing with Generative Adversarial Networks – https://www.youtube.com/watch?v=pqkpIfu36Os AI Learns to Synthesize Pictures of Animals – https://www.youtube.com/watch?v=D4C1dB9UheQ AI Makes 3D Models From Photos – https://www.youtube.com/watch?v=HO1LYJb818Q Font paper: http://vecg.cs.ucl.ac.uk/Projects/projects_fonts/projects_fonts.html […]
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CoRL 2020, Spotlight Talk 151: Model-based Reinforcement Learning for Decentralized Multiagent Re…

“**Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous** Rose Wang (MIT)*; J. Chase Kew (Google Brain); Dennis Lee (Google Inc.); Tsang-Wei Lee (Google Brain); Tingnan Zhang (Google); Brian Ichter (Google Brain); Jie Tan (Google); Aleksandra Faust (Google Brain) Publication: http://corlconf.github.io/paper_151/ **Abstract** Collaboration requires agents to align their goals on the fly. Underlying the human ability to […]
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Self-Driving Cars – Lecture 6.2 (Vehicle Control: Black Box Control)

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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SingularityNET: Smart Cities as Artificially Intelligent Minds – Ben Goertzel on Euro News.

Smart cities are developing at breakneck speed. Dr Ben Goertzel Founder & CEO of Singularitynet describes them as becoming like the body of an Artificially Intelligent mind at the GITEX, Gulf Information Technology Exhibition in Dubai. —- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a […]
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Two Minute Papers: Creating Photographs Using Deep Learning | Two Minute Papers #13

Machine learning techniques such as deep learning artificial neural networks had proven to be extremely useful for a variety of tasks that were previously deemed very difficult, or even impossible to solve. In this work, a deep learning technique is used to learn how different light source positions affect a scene and create (“guess”) new […]