Nvidia AI Videos - Artificial Intelligence Videos

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34:50

Global Leadership: Jensen Huang on how AI is changing the world now and how it will shape the future

Global Leadership: Jensen Huang on how AI is changing the world now and how it will shape the future Featuring: Jensen Huang – CEO and Co-Founder – Nvidia Tabitha Goldstaub – Co-founder – CogX (Moderator) #CogX2021 #JoinTheConversation YouTube Source for this AI Video

05:03

Watch GTC 21 Get Free Deep Learning Courses

Tune in to watch the GTC 21 keynote speech (April 12, 830 am PST) and get a chance at winning a free course taught by the instructors at NVIDIA’s Deep Learning Institute. All you have to do is come back to this video and drop a comment with your favorite moment from the speech. I’ll […]

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09:19

Morphing NVIDIA StyleGAN2 ADA Pytorch Between Real Photos your GAN Doppelganger

Did you know you can find your GAN Doppelganger in the latent vector space of NVIDIA StyleGAN2 ADA? I provide a Colab notebook that contains all that you need to create your own morph videos between any two photos of people’s faces. 2:12 Opening the CoLab Notebook 2:38 Use a Free Google GPU 2:52 Running […]

10:02

This is The Future of Video Games? • Game Programmed by Artificial Intelligence •

For the first time ever, an AI has programmed its own 3D Game inspired by GTA 5, and called it “Gan Theft Auto” based on the Artificial Intelligence Algorithm it’s based on (GAN). This technology is based on some of the most advanced AI by Nvidia ever. You can even download and play around with […]

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22:20

Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning

Complete walkthrough of installing TensorFlow/Keras with GPU support on Windows 11. We make use of a “pip install” rather than conda, to ensure that we get the latest version of TensorFlow. This requires installing Visual C++, CUDA, CuDNN, as well as the Python libraries. Guide: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/manual_setup2.ipynb 0:54 Installation Guides 2:03 Step 1: NVIDIA Video Driver […]

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16:21

Building a $5,000 Machine Learning Workstation with a NVIDIA TITAN RTX and RYZEN ThreadRipper

NVIDIA was kind enough to provide my YouTube channel with a TITAN RTX. This video shows the process that I went through to plan and build a computer based on a TITAN RTX and RYZEN ThreadRipper 24-core 3.8 ghtz CPU. ** Follow Me on Social Media! GitHub: https://github.com/jeffheaton Twitter: https://twitter.com/jeffheaton Instagram: https://www.instagram.com/jeffheatondotcom/ Discord: https://discord.gg/3bjthYv Patreon: […]

09:14

MLPerf & PyTorch | PyTorch Developer Day 2020

In this talk, Christian Sarofeen, manager of PyTorch at NVIDIA, examines how PyTorch power’s NVIDIA’s Deep Learning Benchmarking team on one of the most powerful supercomputers in the world, NVIDIA’s Selene. Source of this PyTorch AI Video

21:24

ML News: NVIDIA GTC’21 • DeepMind buys MuJoCo • Google predicts spreadsheet formulas

#gtc21 #mlnews #mujoco Register to GTC’21 and Win a RTX 3090: https://nvda.ws/2Y2B5ni OUTLINE: 0:00 – Intro 0:15 – Sponsor: NVIDIA GTC’21 5:35 – DeepMind buys & Open-Sources MuJoCo 7:25 – PyTorch 1.10 Released 9:10 – Google Predicts Spreadsheet Formulas 11:25 – handtracking.io 12:25 – Cell Instance Segmentation Challenge 13:00 – Helpful Libraries 17:50 – Waymo […]

01:16:08

CoRL 2020 Tutorial 3 – Nathan Ratliff

A Fabrics Perspective on Nonlinear Behavior Representation Nathan Ratliff (NVIDIA) More Information: https://www.robot-learning.org/program/tutorials YouTube Source for this Robot AI Video

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33:20

[ML News] AI Threatens Biological Arms Race

#mlnews #gtc22 #ithaca GTC Registration Link: https://ykilcher.com/gtc Your regular updates on what’s going on in the ML world! OUTLINE: 0:00 – Intro 0:20 – Register to Nvidia GTC and win a 3090! 4:15 – DeepMind’s Ithaca deciphers Lost Ancient Texts 6:45 – Drug discovery model turns toxic 10:00 – Gary Marcus: Deep Learning is hitting […]

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42:40

MIT 6.S191 (2018): Introduction to Deep Learning

MIT Introduction to Deep Learning 6.S191: Lecture 1 Foundations of Deep Learning Lecturer: Alexander Amini January 2018 Lecture 1 – Introduction to Deep Learning: https://www.youtube.com/watch?v=JN6H4rQvwgY Lecture 2 – Deep Sequence Modeling: https://www.youtube.com/watch?v=CznICCPa63Q Lecture 3 – Deep Computer Vision: https://www.youtube.com/watch?v=NVH8EYPHi30 Lecture 4 – Deep Generative Models: https://www.youtube.com/watch?v=JVb54xhEw6Y Lecture 5 – Deep Reinforcement Learning: https://www.youtube.com/watch?v=s5qqjyGiBdc Lecture 6 […]

11:18

Lightning Chat with NeMo's Research Scientist

In this lightning chat, you’ll learn about conversational AI, NVIDIA NeMo, and building multi-GPU models with PyTorch Lightning. Aishwarya Srinivasan is a Data Scientist at IBM Data & AI https://www.linkedin.com/in/aishwarya-srinivasan/ Dr. Oleksii Kuchaiev is an Applied Research Scientist at NVIDIA https://www.linkedin.com/in/oleksiikuchaiev/ GitHub: https://github.com/PyTorchLightning/pytorch-lightning Lightning Website: https://www.pytorchlightning.ai/ Follow us on Twitter: https://twitter.com/PyTorchLightnin Source of this PyTorch […]

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11:51

TensorFlow 2.0 upgrade, Python support, & more! #AskTensorFlow

In a special live episode from the TensorFlow Dev Summit, Paige (@DynamicWebPaige) and Laurence (@lmoroney) answer your #AskTensorFlow questions. Learn about TensorFlow prebuilt binaries, the TF 2.0 upgrade script, estimators and Keras in TensorFlow 2.0, and Python support roadmap. Remember to use #AskTensorFlow to have your questions answered in a future episode! Nvidia GPU-enabled system […]

GPU Technology Conference (GTC) 2020 Plans

Next week I will virtually attend the 2020 GPU Technology Conference (GTC). In this video, I discuss the three sessions that the community selected in my giveaway a few weeks ago. I will report on these three sessions next week and produce a few example videos related to these sessions. GTC2020: https://www.nvidia.com/en-us/gtc/ My Github REPO […]

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02:45

Two Minute Papers: NVIDIA’s AI Removes Objects From Your Photos | Two Minute Papers #255

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 LTC: LM8AUh5bGcNgzq6HaV1jeaJrFvmKxxgiXg The paper “Image Inpainting for Irregular Holes Using Partial Convolutions” is available here: https://arxiv.org/abs/1804.07723 We would like to thank our generous Patreon supporters who make Two […]

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05:49

Cyberpunk 2077 $5K NVIDIA RTX A6000 GPU Data Science Machine

A quick video to show what happens when you play Cyberpunk 2077 on my machine learning workstation equipped with an NVIDIA RTX A6000? The frame rate is quite good at 70+ FPS with basic game settings. After some suggestions in the comments, I tried setting Raytracing to ultra and got 50 FPS, adding DLSS max […]

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32:35

Windows 10, Training a GAN on your Own Images: StyleGAN2 ADA PyTorch

In this video, I demonstrate how to install NVIDIA StyleGAN2 ADA for PyTorch on the Windows 10 operating system. Even with new Ampere GPUs. This can easily be done using Windows, without Docker, and is now fully compatible with Ampere architecture, such as the GeForce RTX 30xx or NVIDIA RTX A6000. Both training and image […]

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10:17

My Starter Kit for StyleGAN2 Exploration and Projects

I use this notebook as a starting point for many of the GAN experiments that I post to my YouTube channel. I based all of the code in this notebook on NVIDIA StyleGAN2 ADA PyTorch. This notebook contains code to help you: Upload/Download Images/Files for use with StyleGAN2 Loading Premade GAN Neural Networks Generating GANs […]

NVIDIA’s AI Recreated PacMan! 👻

❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers The mentioned blog post is available here: https://www.wandb.com/articles/visualizing-molecular-structure-with-weights-biases 📝 The paper “Learning to Simulate Dynamic Environments with GameGAN” is available here: https://nv-tlabs.github.io/gameGAN/ Our paper with the neural renderer is available here: Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH […]

41:53

Cutting Edge: Where will the next $100bn deep tech company come from?

Cutting Edge: Where will the next $100bn deep tech company come from? Featuring: Ian Hogarth – Angel Investor Kate Kallot – Head of Emerging Areas – Nvidia Gemma Milne – Writer, Broadcaster & Researcher – UCL (Moderator) #CogX2021 #JoinTheConversation YouTube Source for this AI Video

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07:48

What is NVIDIA RTX A6000 Ethereum Cryptocurrency Hash Rate

A quick video to demonstrate Ethereum mining on an NVIDIA RTX A6000 high end GPU. Yes, it gets a good hashrate; however, this is somewhat like delivering pizza with a Lamborghini. 1:17 Mining Ethereum with lolminer on the NVIDIA RTX A6000 2:01 Ethereum Hashrate of NVIDIA RTX A6000 2:30 Setting up to run Ethereum 4:10 […]

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15:55

Training NVIDIA StyleGAN2 ADA under Colab Free and Colab Pro Tricks

Google Colab and Colab Pro can be used to train GANs, but with some restrictions. In this video I demonstrate how to use Colab to train images for StyleGAN2 ADA. 1:20 Jupyter Notebook for GAN Training in CoLab 1:38 Setting up GDRIVE 3:33 Output from StyleGAN 5:16 Colab GPUs and Limitations 5:35 Google Colab Throttling […]

05:04

My 3 Picks for the FREE GPU Technology Conference (GTC21) Presentations

If you have not heard, GTC21 is free this year. Not only that, but Hinton, LeCun and Bengio are all three speaking! In this video, I give my three picks for GTC21! GTC-2021: https://www.nvidia.com/en-us/gtc/ ** Follow Me on Social Media! GitHub: https://github.com/jeffheaton Twitter: https://twitter.com/jeffheaton Instagram: https://www.instagram.com/jeffheatondotcom/ Discord: https://discord.gg/3bjthYv Patreon: https://www.patreon.com/jeffheaton Source of this machine learning/AI […]

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08:33

NVIDIA Thinks we Live Inside a Simulation – Earth 2.0 Supercomputer

The Hardware Giant NVIDIA is now working on one of the craziest projects I’ve ever seen. They’re attempting to build the fastest supercomputer ever made in hopes of simulating the entire earth in real time for climate research and potentially even more. They call this super computer Earth 2 and it’s going to feature their […]