Published
NVIDIA researchers achieved a data augmentation breakthrough with their newest GAN, requiring 10-20x less training images. Their #AI model emulates artwork from a small dataset from the Metropolitan Museum of Art — and opening up new potential applications in fields like healthcare. Learn more: https://nvda.ws/33Grfrf
- Category
- NVIDIA
- Tags
- NVIDIA, data augmentation, AI
Be the first to comment
Up Next
Autoplay
-
00:43
AMD STEM Discovery Day with Breakthrough Students
-
00:51
Introducing the Limited-Edition Starfield AMD Radeon RX 7900 XTX and Ryzen 7 7800X3D
-
03:20
Redbull Labs Training Grounds
-
00:20
AMD Radeon™ RX 6900 XT Halo Infinite Limited Edition Graphics Card
-
02:21
Delivering Breakthrough EDA Performance to Boost Engineering Productivity
-
01:00
Introducing the Limited-Edition Avatar AMD Radeon RX 7900 XTX Graphics Card
-
01:20
NVIDIA Isaac Sim On Omniverse – Synthetic Data for Perception Model Training
-
03:05
How Does Hardware Help AI Training In the Cloud?
-
08:29
Boston Limited: 30 Years in Tech
-
01:53
Advancing STEM Education with Breakthrough Silicon Valley
-
01:31
Interactive Visualization of High-Resolution, Global-Scale Climate Data in the Cloud
-
02:20
Generating Potential Accident Scenarios for Autonomous Vehicles Using AI - NVIDIA DRIVE Labs Ep. 27
-
00:34
NVIDIA GTC 2023 Keynote Teaser
-
02:13
Experience Hospitality Design on CloudXR with AWS
-
1:17:52
GTC 2023 Keynote with NVIDIA CEO Jensen Huang
-
02:48
BMW Group Celebrates Opening the World's First Virtual Factory in NVIDIA Omniverse
-
02:31
NVIDIA Omniverse Foundational Technology Montage I GTC Spring 2023 Edition
-
02:03
Amazon Robotics Deploys First Fully Autonomous Robot With NVIDIA Isaac Sim
-
02:04
Easily Scale and Unify Industrial Digitalization With NVIDIA Omniverse Cloud
-
03:14
I AM AI | NVIDIA GTC 2023 | Official Keynote Intro