NVIDIA Research Released at CVPR Helps Developers Create Better Visual Datasets

AI / Deep Learning, Computer Vision & Machine Vision, Development Tools & Libraries, NVIDIA Research

Nadeem Mohammad, posted Jun 17 2019

STEAL, a new algorithm developed by NVIDIA Research, automatically refines the boundaries of objects in training datasets, making them more exact.

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NVIDIA Research at CVPR 2019

AI / Deep Learning, Computer Vision & Machine Vision, conference, Machine Learning & Artificial Intelligence, NVIDIA Research

Nadeem Mohammad, posted Jun 11 2019

NVIDIA Researchers will present 20 accepted papers and posters, eleven of them orals, at the annual Computer Vision and Pattern Recognition (CVPR) conference June 16 – 20 in Long Beach, California

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DRIVE Labs: Tracking Objects With Surround Camera Vision

Autonomous Vehicles, Automotive, Computer Vision & Machine Vision, Drive PX, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 06 2019

Many cars on the road today equipped with advanced driver assistance systems rely on front and rear cameras to perform automatic cruise control (ACC) and lane keep assist.

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AI Helps Generate Interactive Demo of Salvador Dali

AI / Deep Learning, Graphics / Simulation, Computer Vision & Machine Vision, Image Processing, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 30 2019

To help create a unique experience for museum attendees, the Salvador Dali Museum in St Petersburg, Florida has just developed a deep learning-based version of Dali himself

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Google’s AI Can Fill In the Missing Frames in a Video Sequence

AI / Deep Learning, Computer Vision & Machine Vision, Image Processing, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 29 2019

With just the beginning and end frames, this 3D convolutional neural network can fill in the gaps. The process, known as “inbetweening,” can generate intermediate frames between two given points.

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GauGAN Debuts at the Ars Electronica Center in Europe

AI / Deep Learning, Features, Computer Vision & Machine Vision, DGX, Machine Learning & Artificial Intelligence, NVIDIA Research, Tesla

Nadeem Mohammad, posted May 28 2019

GauGAN, NVIDIA’s generative adversarial network that can convert segmentation maps into lifelike images, is being shown for the first time at the brand new Ars Electronica Center in Vienna, Austria at the “Understanding AI” exhibition.

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NVAIL Partners Present Robotics Research at ICRA 2019

AI / Deep Learning, Computer Vision & Machine Vision, Higher Education/Academia, Machine Learning & Artificial Intelligence, NVAIL, Robotics

Nadeem Mohammad, posted May 22 2019

This week top Robotics researchers have gathered in Montreal, Canada to present their cutting edge research.

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NVIDIA Unveils New Reinforcement Learning Research at ICRA 2019

Artificial Intelligence / Deep Learning, Autonomous Machines, Features, Computer Vision & Machine Vision, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted May 20 2019

This week, NVIDIA researchers from the newly opened robotics research lab in Seattle, Washington are presenting a new proof of concept reinforcement learning approach that aims to enhance how robots trained in simulation will perform in the real

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Microsoft Announces New Breakthroughs in AI Speech Tasks

Artificial Intelligence / Deep Learning, Features, Computer Vision & Machine Vision, Machine Learning & Artificial Intelligence, Speech & Audio Processing

Nadeem Mohammad, posted May 17 2019

Microsoft AI Research just announced a new breakthrough in the field of conversational AI that achieves new records in seven of nine natural language processing tasks from the General Language Understanding Evaluation (GLUE) benchmarks

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DRIVE Labs: Helping Cameras See Clearly With AI

Autonomous Machines, Automotive, Computer Vision & Machine Vision, Image Processing, Image Recognition

Nadeem Mohammad, posted May 15 2019

We developed ClearSightNet, a deep neural network (DNN) trained to evaluate cameras’ ability to see clearly and help determine root causes of occlusions, blockages, and reductions in visibility.

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