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Thursday, June 17, 2021

Your Personalized Developer News from NVIDIA

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Let It Flow: AI Researchers Create Looping Videos From Still Images

Researchers from University of Washington and Facebook used deep learning to convert still images into realistic animated looping videos.

NEW on NGC: Simplify and Unify Biomedical Analytics with Vyasa

Vyasa, a leading provider of tools in the field of biomedical analytics, developed a suite of products that efficiently integrate with existing compute infrastructure via an extensive RESTful API architecture.

Japan's University of Aizu Uses NVIDIA Jetson to Nurture AI and Robotics Talent

University of Aizu, a premier computer science and engineering institution in Japan, conducted a two-week intensive learning program based on the NVIDIA Jetson Nano edge AI platform and Jetson AI Certification.

Using Physics-Informed Deep Learning for Transport in Porous Media

Simulations are pervasive in every domain of science and engineering, but they are often constrained by large computational times, limited compute resources, tedious manual setup efforts, and the need for technical expertise. NVIDIA SimNet is a simulation toolkit that addresses these challenges with a combination of AI and physics. A success story of SimNet's application … Continued

Training and Optimizing a 2D Pose Estimation Model with the NVIDIA Transfer Learning Toolkit, Part 2

The first post in this series covered how to train a 2D pose estimation model using an open-source COCO dataset with the BodyPoseNet app in the NVIDIA Transfer Learning Toolkit.

Accelerating Model Development and AI Training with Synthetic Data, SKY ENGINE AI platform, and NVIDIA Transfer Learning Toolkit

In this post, you learn how you can harness the power of synthetic data by taking preannotated synthetic data and training it on TLT.

NVIDIA SimNet v21.06 Released for General Availability

NVIDIA SimNet is a physics-informed neural network (PINNs) toolkit, which addresses these challenges using AI and physics.

Advancing the State of the Art in AutoML, Now 10x Faster with NVIDIA GPUs and RAPIDS

At GTC 21, AWS shared how the combination of AutoGluon, RAPIDS, and NVIDIA GPU computing simplifies achieving state-of-the-art ML accuracy, while improving performance and lowering costs.

Building Real-time Dermatology Classification with NVIDIA Clara AGX

This post discusses developing an end-to-end example of how deep learning could lead to an automated dermatology exam system free of human bias, using the recently announced NVIDIA Clara AGX development kit.

NVIDIA Research: Fast Uncertainty Quantification for Deep Object Pose Estimation

Researchers from NVIDIA, University of Texas at Austin and Caltech developed a simple, efficient, and plug-and-play uncertainty quantification method for the 6-DoF object pose estimation task, using an ensemble of K pre-trained estimators with different architectures and/or training data sources.

NVIDIA RTX GPUs and KeyShot Accelerate Rendering for Caustics

NVIDIA RTX ray tracing has transformed graphics and rendering. With powerful software applications like Luxion KeyShot, more users can take advantage of RTX technology to speed up graphic workflows — like rendering caustics.

Accelerating Conversational AI Research with New Cutting-Edge Neural Networks and Features from NeMo 1.0

The 1.0 update brings significant architectural, code quality, and documentation improvements as well as a plethora of new state-of-the-art neural networks and pretrained checkpoints in several languages.

AI Nails It: Viral Manicure Robot Powered by GPU-Accelerated Computer Vision

San Francisco startup Clockwork recently launched a pop-up location offering the first robot nail painting service in the form of 10-minute "minicures."