OpenAI AI Videos - Artificial Intelligence Videos

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11:01

This New AI Generates Professional Artworks (OpenAI GLIDE)

The first 1,000 people to use this link will get a 1 month free trial of Skillshare: https://skl.sh/ainews01221 OpenAI’s incredible new Artificial Intelligence blew everyone away with their new Image Generation Model that can turn any kind of text into realistic, cartoonish or photorealistic images regardless of how complex and complicated the text is. This […]

12:11

THE TRITON LANGUAGE | PHILIPPE TILLET

Triton is a new language that enables researchers with no CUDA experience to write highly efficient GPU code-most of the time on par with what an expert would be able to produce. Since its inception as a graduate research project, Triton has helped provide fast and maintainable kernels across several organizations (e.g., OpenAI, Facebook, Microsoft). […]

09:22

The Weird & Lying Minds of Artificial Intelligence (WebGPT)

Humans not understanding how an Artificial Intelligence works or thinks is becoming more dangerous as AI becomes smarter and more powerful. Models such as GPT-3 are known for completely making up statements and directly lying to the person asking it a question. This can lead to many AI Dangers. OpenAI’s new model called WebGPT is […]

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31:15

[ML News] AI learns to search the Internet | Drawings come to life | New ML journal launches

#webgpt #aiart #mlnews The latest and greatest from the Machine Learning world. OUTLINE: 0:00 – Intro 0:20 – Sponsor: Weights & Biases 2:40 – WebGPT: When GPT-3 can search the Internet 15:45 – MetaAI brings children’s drawings to life 17:15 – OpenAI lets anyone fine-tune GPT-3 18:15 – New Journal: Transactions on Machine Learning Research […]

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04:45

Two Minute Papers: Learning to Model Other Minds (OpenAI) | Two Minute Papers #199

The paper “Learning with Opponent-Learning Awareness” is available here: https://arxiv.org/abs/1709.04326 Our Patreon page with the details: https://www.patreon.com/TwoMinutePapers Showcased episodes: Real-Time Oil Painting on Mobile – https://www.youtube.com/watch?v=1SHW1-qKKpY Real-Time Modeling and Animation of Climbing Plants – https://www.youtube.com/watch?v=aAsejHZC5EE We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Dave […]

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03:17

Two Minute Papers: AI Competitive Self-Play | Two Minute Papers #205

The paper “Emergent Complexity via Multi-Agent Competition” and its source code is available here: https://arxiv.org/abs/1710.03748 https://github.com/openai/multiagent-competition We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christoph Jadanowski, Dave Rushton-Smith, Dennis Abts, Eric Haddad, Esa Turkulainen, Evan Breznyik, Kaben Gabriel Nanlohy, Malek Cellier, Michael Albrecht, Michael […]

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03:25

Two Minute Papers: Meta Learning Shared Hierarchies | Two Minute Papers #210

The paper “Meta Learning Shared Hierarchies” and its source code is available here: https://arxiv.org/abs/1710.09767 https://github.com/openai/mlsh A video from Robert Miles: https://www.youtube.com/watch?v=MUVbqQ3STFA We have been experimenting with opening a bitcoin wallet. Let us know if it’s working properly and thank you very much for your support! Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh We would like to thank our generous Patreon […]

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03:31

Two Minute Papers: Reinforcement Learning with OpenAI’s Gym | Two Minute Papers #72

OpenAI’s Gym is available here: https://gym.openai.com/ OpenAI – Non-profit AI company by Elon Musk and Sam Altman Google DeepMind’s paper “Unifying Count-Based Exploration and Intrinsic Motivation” and video on reniforcement learning and curiosity: https://arxiv.org/pdf/1606.01868v1.pdf Link to the mentioned research project at Experiment: 1. https://experiment.com/projects/opening-your-mind-s-eye-collaborating-with-a-computer-to-reveal-visual-imagination?s=discover 2. https://experiment.com/projects/yvgjmnuxsnavvjuhxzwf WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS […]

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02:37

Two Minute Papers: Transferring AI To The Real World (OpenAI) | Two Minute Papers #202

The paper “Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World” is available here: https://arxiv.org/pdf/1703.06907.pdf We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Andrew Melnychuk, Brian Gilman, Christoph Jadanowski, Dave Rushton-Smith, Dennis Abts, Eric Haddad, Esa Turkulainen, Evan Breznyik, Kaben Gabriel Nanlohy, Malek Cellier, […]

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03:49

Two Minute Papers: Reinforcement Learning With Noise (OpenAI) | Two Minute Papers #225

The paper “Better Exploration with Parameter Noise” and its source code is available here: https://arxiv.org/abs/1706.01905 https://github.com/openai/baselines The write-up and our Patreon page with the details: https://www.patreon.com/posts/technical-for-16738692 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, Dave Rushton-Smith, Dennis Abts, Emmanuel, […]

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03:00

Two Minute Papers: Deep Reinforcement Terrain Learning | Two Minute Papers #67

In this piece of work, a combination of deep learning and reinforcement learning is presented which has proven to be useful in solving many extremely difficult tasks. Google DeepMind built a system that can play Atari games at a superhuman level using this technique that is also referred to as Deep Q-Learning. This time, it […]

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02:28

Two Minute Papers: Game AI Development With OpenAI Universe | Two Minute Papers #125

OpenAI Universe + blog post: https://openai.com/blog/universe/ https://universe.openai.com/ Also, make sure to check out Google DeepMind’s lab: https://github.com/deepmind/lab https://deepmind.com/blog/open-sourcing-deepmind-lab/ For the record: no, I am not an Edge user. 🙂 Terrain learning footage credit: http://www.cs.ubc.ca/~van/papers/2016-TOG-deepRL/ WE WOULD LIKE TO THANK OUR GENEROUS PATREON SUPPORTERS WHO MAKE TWO MINUTE PAPERS POSSIBLE: Sunil Kim, Daniel John Benton, Dave […]

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03:32

Two Minute Papers: Building a Curious AI With Random Network Distillation

This episode was supported by insilico.com. “Anything outside life extension is a complete waste of time”. See their papers: – Papers: https://www.ncbi.nlm.nih.gov/pubmed/?term=Zhavoronkov%2Ba – Website: http://insilico.com/ The paper “Exploration by Random Network Distillation” is available here: Blog post: https://blog.openai.com/reinforcement-learning-with-prediction-based-rewards/ Paper: https://arxiv.org/abs/1810.12894 Code: https://github.com/openai/random-network-distillation We would like to thank our generous Patreon supporters who make Two Minute […]

05:21

CoRL 2020, Spotlight Talk 450: Deep Reinforcement Learning with Population-Coded Spiking Neural N…

“**Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control** Guangzhi Tang (Rutgers University); Neelesh Kumar (Rutgers University); Raymond Yoo (Rutgers University); Konstantinos Michmizos (Rutgers University)* Publication: http://corlconf.github.io/paper_450/ **Abstract** The energy-efficient control of mobile robots has become crucial as the complexity of their real-world applications increasingly involves high-dimensional observation and action spaces, which cannot […]

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11:03

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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05:13

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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07:35

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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29:09

[ML News] OpenAI removes GPT-3 waitlist | GauGAN2 is amazing | NYC regulates AI hiring tools

#mlnews #gaugan #gpt-3 Your weekly dose of ML News! More GauGAN images here: https://drive.google.com/drive/folders/1tG1rpxP_mnspB1MWi9VZGScw5R-hxUdm?usp=sharing OUTLINE: 0:00 – Intro 0:20 – Sponsor: Weights & Biases 2:20 – OpenAI’s removes GPT-3 Waitlist 4:55 – NVIDIA releases GauGAN2 Webapp 9:45 – Everyday Robots tackles real-life tasks 12:15 – MetNet-2: 12-hour Rain Forecasting 14:45 – TinyML Dog Bark Stopper […]

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03:25

Two Minute Papers: OpenAI’s Gaming AI Contest: Results | Two Minute Papers #265

Two Minute Papers Merch: US: http://twominutepapers.com/ EU/Worldwide: https://shop.spreadshirt.net/TwoMinutePapers/ The blog post “Retro Contest: Results” and the corresponding paper is available here: 1. https://blog.openai.com/first-retro-contest-retrospective/ 2. https://arxiv.org/abs/1804.03720 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, Brian […]

45:17

Durk Kingma Interview – Block-Sparse Kernels for Deep Neural Networks

The show is part of a series that I’m really excited about, in part because I’ve been working to bring them to you for quite a while now. The focus of the series is a sampling of the interesting work being done over at OpenAI, the independent AI research lab founded by Elon Musk, Sam […]

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04:16

Two Minute Papers: OpenAI + DOTA2: 180 Years of Learning Per Day

The blog post on OpenAI Five is available here: 1. https://blog.openai.com/openai-five/ 2. https://blog.openai.com/openai-five-benchmark/ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers Crypto and PayPal links are available below. Thank you very much for your generous support! Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh PayPal: https://www.paypal.me/TwoMinutePapers Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A LTC: LM8AUh5bGcNgzq6HaV1jeaJrFvmKxxgiXg Day9’s Learning DOTA2 series. Note – sometimes explicit: https://www.youtube.com/watch?v=8AyrC5Ki31c&list=PLgmCLtUkEutILNA9EM0BON6ShoQGZhd3P I […]

04:52

CoRL 2020, Spotlight Talk 498: Learning from Demonstrations using Signal Temporal Logic

“**Learning from Demonstrations using Signal Temporal Logic** Aniruddh Puranic (University of Southern California)*; Jyotirmoy Deshmukh (USC); Stefanos Nikolaidis (University of Southern California) Publication: http://corlconf.github.io/paper_498/ **Abstract** Learning-from-demonstrations is an emerging paradigm to obtain effective robot control policies for complex tasks via reinforcement learning without the need to explicitly design reward functions. However, it is susceptible to […]

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03:47

Two Minute Papers: OpenAI’s MuseNet Learned to Compose Mozart, Bon Jovi and More

📝 The blog post on OpenAI MuseNet is available here: https://openai.com/blog/musenet/ ❤️ 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, Anthony Vdovitchenko, Brian Gilman, Bruno Brito, Bryan Learn, Christian Ahlin, Christoph […]

05:06

CoRL 2020, Spotlight Talk 91: SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Ob…

“**SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation** Xingyu Lin (Carnegie Mellon University)*; Yufei Wang (Carnegie Mellon University); Jake Olkin (CMU); David Held (CMU) Publication: http://corlconf.github.io/paper_91/ **Abstract** Manipulating deformable objects has long been a challenge in robotics due to its high dimensional state representation and complex dynamics. Recent success in deep reinforcement learning provides […]