Automatic Object Removal and Realistic Image Completion

Artificial Intelligence, cuDNN, GeForce, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Nov 09 2017

Researchers from Waseda University in Japan developed a deep learning-based method that removes unwanted objects from images and can complete images by filling-in missing regions.

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Enter the NIPS DeepArt Poster Contest to Win an NVIDIA DGX Station

Artificial Intelligence, Features, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Nov 08 2017

Based on the popular AI “style transfer” algorithm, DeepArt has created an online competition for people to create neural art to help beautify the walls at the NIPS 2017 conference.

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Artificial Intelligence Helps Identify Molecular Structures

Artificial Intelligence, cuDNN, GeForce, Geoscience, Higher Education/Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 02 2017

University of San Diego researchers developed a deep learning-based method to identify the molecular structures of natural products such as soil microorganisms, terrestrial plants and, marine life forms.

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Build Better IVA Applications for Edge Devices with NVIDIA DeepStream SDK on Jetson

Artificial Intelligence, Robotics, Smart Cities, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Nov 01 2017

Register Now for Early Access Program NVIDIA’s DeepStream SDK on Jetson makes it easy for developers to create robust, complex intelligent video analytics (IVA) capabilities for edge devices.

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Generating Photorealistic Images of Fake Celebrities with Artificial Intelligence

Artificial Intelligence, Features, CUDA, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Oct 30 2017

Researchers from NVIDIA recently published a paper detailing their new methodology for generative adversarial networks (GANs) that generated photorealistic pictures of fake celebrities.

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