Announcing NVIDIA DALI and NVIDIA nvJPEG

Artificial Intelligence, Features, Computer Graphics & Visualization, Computer Vision & Machine Vision, Development Tools & Libraries, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 19 2018

Today at Computer Vision and Pattern Recognition (CVPR) conference, we’re making available new libraries for data augmentation and image decoding.

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Introducing Apex: PyTorch Extension with Tools to Realize the Power of Tensor Cores

Artificial Intelligence, Features, Computer Vision & Machine Vision, cuDNN, Development Tools & Libraries, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Tesla, Volta

Nadeem Mohammad, posted Jun 19 2018

Today at the Computer Vision and Pattern Recognition Conference in Salt Lake City, Utah, NVIDIA is kicking off the conference by demonstrating an early release of Apex, an open-source PyTorch extension that helps users maximize deep learning train

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Kubernetes on NVIDIA GPUs Release Candidate Now Available

Artificial Intelligence, Computer Vision & Machine Vision, Development Tools & Libraries, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 19 2018

Today at the Computer Vision and Pattern Recognition (CVPR) conference, we’re making the release candidate Kubernetes on NVIDIA GPUs freely available to developers for feedback and testing.

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Transforming Standard Video Into Slow Motion with AI

Artificial Intelligence, Features, Computer Vision & Machine Vision, conference, cuDNN, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 18 2018

Researchers from NVIDIA developed a deep learning-based system that can produce high-quality slow-motion videos from a 30-frame-per-second video, outperforming various state-of-the-art methods that aim to do the same.  The researchers will present

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AI Helps Accelerate the Drug Development Process

Artificial Intelligence, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 12 2018

University of California, Irvine researchers developed a deep learning-based approach to accelerate drug discovery and cancer research.

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TensorRT Radically Improves Real-Time Object Detection by 6x

Artificial Intelligence, Computer Vision & Machine Vision, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, TensorRT

Nadeem Mohammad, posted Jun 07 2018

Researchers at SK Telecom developed a new method that uses the NVIDIA TensorRT high-performance deep learning inference engine to accelerate deep learning-based object detection.

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Cheeky AI Chatbot Wants to be your BFF

Artificial Intelligence, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 05 2018

Hugging Face, the deep learning-based chatbot acts primarily as a digital friend allowing people to text back and forth, trade selfies and jokes as if it were a real friend.

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Breakthrough AI Technique Could Revolutionize the Animation Industry

Artificial Intelligence, Features, GeForce, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jun 01 2018

Researchers recently developed the first deep learning based system that can transfer the full 3D head position, facial expression and eye gaze from a source actor to a target actor.

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Converting CT Scans into 2D MRIs with AI

Artificial Intelligence, GeForce, Healthcare & Life Sciences, Image Processing, Image Recognition

Nadeem Mohammad, posted May 31 2018

Magnetic resonance imaging (MRI), is the gold standard in medical imaging.

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AI System Automatically Examines Abdominal Ultrasounds

Artificial Intelligence, cuDNN, GeForce, Healthcare & Life Sciences, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 30 2018

Sixty to seventy million people in the U.S. suffer from gastrointestinal diseases and the best way to clinically diagnose the exact problem is to perform an abdominal ultrasound. However, the process is labor intensive and sometimes inefficient.

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