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06:37

Two Minute Papers: Neural Material Synthesis | Two Minute Papers #88

We are going to talk about techniques that create physically based material models from photographs that we can use in our light simulation programs. In an earlier work, two photographs are required for high-quality reconstruction. It seems that working from only one photograph doesn’t seem possible at all. However, with the power of deep learning… […]
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ACCELERATING PYTORCH NETWORKS WITH NATIVE CUDA GRAPHS SUPPORT | MICHAEL CARILLI

PyTorch networks running on high-throughput NVIDIA GPUs are frequently limited by CPU overhead. A CUDA Graph is a record of GPU operations that can be replayed with a single call, which incurs much less CPU overhead than dispatching ops one at a time. Pytorch 1.10 introduces a Python API for CUDA graphs. By creating a […]
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25:40

[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR

#mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: https://wandb.me/yannic (it’s free forever for personal use) OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – […]
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05:17

CoRL 2020, Spotlight Talk 99: Learning RGB-D Feature Embeddings for Unseen Object Instance Segmen…

“**Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation** Yu Xiang (NVIDIA)*; Christopher Xie (University of Washington); Arsalan Mousavian (NVIDIA); Dieter Fox (NVIDIA) Publication: http://corlconf.github.io/paper_99/ **Abstract** Segmenting unseen objects in cluttered scenes is an important skill that robots need to acquire in order to perform tasks in new environments. In this work, we propose a […]
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[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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04:43

CoRL 2020, Spotlight Talk 187: Learning a Contact-Adaptive Controller for Robust, Efficient Legge…

“**Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion** Xingye Da (Nvidia)*; Zhaoming Xie (University of British Columbia); David Hoeller (Nvidia); Byron Boots (Nvidia); Anima Anandkumar (); Yuke Zhu (University of Texas – Austin); Buck Babich (NVIDIA); Animesh Garg (University of Toronto, Vector Institute, Nvidia) Publication: http://corlconf.github.io/paper_187/ **Abstract** We present a hierarchical framework that combines […]
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04:33

CoRL 2020, Spotlight Talk 286: A User’s Guide to Calibrating Robotic Simulators

**A User’s Guide to Calibrating Robotic Simulators** Bhairav Mehta (MIT)*; Ankur Handa (NVIDIA); Dieter Fox (NVIDIA); Fabio Ramos (NVIDIA, The University of Sydney) Publication: http://corlconf.github.io/paper_286/ **Abstract** Simulators are a critical component of modern robotics research. Strategies for both perception and decision making can be studied in simulation first, before deployed to real world systems, saving […]
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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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04:31

CoRL 2020, Spotlight Talk 497: Multimodal Trajectory Prediction via Topological Invariance for Na…

“**Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections** Junha Roh (University of Washington); Christoforos Mavrogiannis (University of Washington)*; Rishabh Madan (Indian Institute of Technology Kharagpur); Dieter Fox (NVIDIA Research / University of Washington); Siddhartha Srinivasa (University of Washington) Publication: http://corlconf.github.io/paper_497/ **Abstract** We focus on decentralized navigation among multiple non-communicating rational agents at […]
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02:33

Two Minute Papers: NVIDIA’s AI Makes Amazing Slow-Mo Videos

The paper “Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation” is available here: https://people.cs.umass.edu/~hzjiang//projects/superslomo/ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers Have a look at this too, some materials are now available for download! – https://developer.nvidia.com/rtx/ngx We would like to thank our generous Patreon supporters who make Two Minute […]
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03:34

Two Minute Papers: This AI Learned How To Generate Human Appearance

Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers The paper “A Variational U-Net for Conditional Appearance and Shape Generation” is available here: https://compvis.github.io/vunet/ Crypto and PayPal links are available below. Thank you very much for your generous support! › PayPal: https://www.paypal.me/TwoMinutePapers › Bitcoin: 13hhmJnLEzwXgmgJN7RB6bWVdT7WkrFAHh › Ethereum: 0x002BB163DfE89B7aD0712846F1a1E53ba6136b5A › LTC: LM8AUh5bGcNgzq6HaV1jeaJrFvmKxxgiXg Earlier NVIDIA episode: […]
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11:26

NVIDIA GeForce RTX 3090 vs 3080 vs 3070 vs 3060Ti for Machine Learning

In this video we look at a high-end machine learning workstation provided by Exxact corporation. I will feature this machine in several videos, any suggestions on what to try? In this video we review the system specs and perform a simple test of the two 3090 GPUs. 0:36 Exxact System 1:07 NVIDIA GeForce RTX 30xx […]
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05:32

Two Minute Papers: Gaussian Material Synthesis (SIGGRAPH 2018)

In this work, we teach an AI the concept of metallic, translucent materials and more. The paper “Gaussian Material Synthesis” and its source code is available here: Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH 2018) – Károly Zsolnai-Fehér, Peter Wonka, Michael Wimmer Acknowledgments: We would like to thank Robin Marin for the material […]
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04:43

Two Minute Papers: NVIDIA’s AI Transformed My Chihuahua Into a Lion

Check out Lambda Labs here: https://lambdalabs.com/papers 📝 The paper “Few-Shot Unsupervised Image-to-Image Translation” and its demo is available here: https://nvlabs.github.io/FUNIT/ https://nvlabs.github.io/FUNIT/petswap.html 🙏 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 […]
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04:17

Two Minute Papers: AI Learns Noise Filtering For Photorealistic Videos | Two Minute Papers #215

The paper “Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder” is available here: http://research.nvidia.com/publication/interactive-reconstruction-monte-carlo-image-sequences-using-recurrent-denoising The paper with the notoriously difficult “Spheres” scene: Automatic Parameter Control for Metropolis Light Transport – Eurographics 2013, Short Paper – Károly Zsolnai, László Szirmay-Kalos (2013) We would like to thank our generous Patreon supporters who make […]
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10:19

How Artificial Intelligence is Outsmarting Human Scientists •

The most intelligent AI Scientists in the world are becoming increasingly worried about Artificial Intelligence programs becoming more unpredictable and incomprehensible as they become more powerful. AI is also overtaking powerful positions in the government, healthcare and defence which could prove dangerous as an Artificial Super Intelligence is coming very close as the Singularity approaches […]
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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 […]
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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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08:24

Announcing the RTX 3090 Winner

The time has come to announce the winner of the giveaway. I’m giving away 5 courses, a swag bag, and an RTX 3090. The GPU and swag are only for US based viewers, due to the current situation with supply chains / all the issues in the world. Congratulations to all our winners! Learn how […]
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11:32

China’s Scary New AI Beats Human Intelligence and the USA •

The biggest tech company in China, Jack Ma’s Alibaba has just released the biggest, most efficient and newest Artificial Intelligence Model in the world. It’s almost 100 times smarter than GPT 3 and is even expected to surpass OpenAI’s yet to be released GPT 4 in both abilities and ease of use. The Alibaba M6 […]
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04:37

None of These Faces Are Real!

The paper “A Style-Based Generator Architecture for Generative Adversarial Networks”, i.e., #StyleGAN and its video available here: https://arxiv.org/abs/1812.04948 Our material synthesis paper is available here: Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH 2018) – Károly Zsolnai-Fehér, Peter Wonka, Michael Wimmer Pick up cool perks on our Patreon page: › https://www.patreon.com/TwoMinutePapers We would like […]
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08:51

An AI That Makes Dog Photos – But How? 🐶

❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers ❤️ Their mentioned post is available here: https://wandb.ai/ayush-thakur/ada/reports/Train-Generative-Adversarial-Network-With-Limited-Data–Vmlldzo1NDYyMjA 📝 The paper “Training Generative Adversarial Networks with Limited Data” is available here: Paper: https://arxiv.org/abs/2006.06676 Pytorch implementation: https://github.com/NVlabs/stylegan2-ada-pytorch 📝 My thesis with the quote is available here: Photorealistic Material Learning and Synthesis […]
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