NVIDIA Announces New Deep Learning Software for Developers

News, Automotive, CUDA, cuDNN, Defense, Development Tools & Libraries, DIGITS, Image Processing, Machine Learning & Artificial Intelligence, Video Processing

Nadeem Mohammad, posted Jun 20 2016

Just in time for the International Supercomputing show (ISC 2016) and International Conference on Machine Learning (ICML 2016), NVIDIA announced three new deep learning software tools for data scientists and developers to make the most of the vast opportunities in deep learning. NVIDIA DIGITS 4   A new workflow for training object detection neural networks

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Share Your Science: Machine Learning Helps Fortune 500 Companies Hunt Cyber Attacks and Outages

News, Research, Big Data & Data Mining, Business Intelligence & Analytics, Cloud, CUDA, Defense, Internet / Communications, Machine Learning & Artificial Intelligence, Share Your Science, Tesla

Nadeem Mohammad, posted Jun 10 2016

Leo Meyerovich, CEO of Graphistry Inc., shares how GPUs and machine learning are protecting the largest companies and organizations in the world by visually alerting them of attacks and big outages. Using NVIDIA GPUs and CUDA, the graph analysis cloud platform is able to help the company’s response and hunting team sift through 100M+ alerts

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Analyzing Scientific Data from Mars with Deep Learning

Research, Big Data & Data Mining, CUDA, cuDNN, Higher Education / Academia, Machine Learning & Artificial Intelligence, Material Science, Robotics

Nadeem Mohammad, posted Jun 07 2016

Researchers from University of Massachusetts Amherst and Mount Holyoke College received a four-year grant from the National Science Foundation to analyze images and data on the chemical composition of rocks and dust from NASA’s Curiosity rover. The rover has been exploring a crater on Mars since 2012 and sends back large amounts of data collected

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Stanford’s Social Robot ‘Jackrabbot’ Seeks to Understand Pedestrian Behavior

Research, Computer Vision & Machine Vision, CUDA, Higher Education / Academia, Image Processing, Machine Learning & Artificial Intelligence, Robotics, Tesla

Nadeem Mohammad, posted Jun 03 2016

Stanford researchers in the Computational Vision and Geometry Lab developed a robot that could soon autonomously move among us with normal human social etiquettes — such as deciding rights of way on the sidewalk. Using a Tesla K40 GPU and CUDA to train the machine learning models, the robot is able to understand its surroundings

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Weekly Social Roundup

News, CUDA, cuDNN, Machine Learning & Artificial Intelligence, Medical & Life Sciences, Tesla

Nadeem Mohammad, posted Apr 22 2016

We love seeing all of the tweets from developers using NVIDIA GPUs – here are a few highlights from the week: Nvidia leading the way on AI infrastructure – "15B-transistor chip for deep learning" https://t.co/IvjwIkwXFh pic.twitter.com/JSmGPqKKeU — Chris Dixon (@cdixon) April 21, 2016 #DeepLearning SDK from #NVIDIA looks very cool -esp. the #cuDNN and #NCCL

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Share Your Science: Creating Volumetric Video of Real People in Virtual Reality

Research, CUDA, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Share Your Science, Virtual Reality

Nadeem Mohammad, posted Apr 19 2016

Experience real people on any virtual reality headset. Joel Pitt, a machine learning researcher at 8i, shares how the startup is using NVIDIA GPUs and CUDA to put real volumetric video of humans in virtual reality environments. 8i’s technology allows creators to bring real people into volumetric virtual experiences by transforming HD video from multiple

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Share Your Science: Real-Time Facial Reenactment of YouTube Videos

Features, Research, CUDA, Facial Recognition, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Share Your Science

Nadeem Mohammad, posted Apr 06 2016

Matthias Niessner of Stanford University shares how his team of researchers are using TITAN X GPUs and CUDA to manipulate YouTube videos with real-time facial reenactment that works with any commodity webcam. The project called ‘Face2Face’ captures the facial expressions of both the source and target video using a dense photometric consistency measure. Reenactment is

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NVIDIA Announcements at the 2016 GPU Technology Conference

Features, News, Automotive, CUDA, Development Tools & Libraries, GTC, Image Processing, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Apr 06 2016

If you missed the opening keynote by NVIDIA CEO Jen-Hsun Huang, here’s a recap of today’s announcements at the GPU Technology Conference in Silicon Valley. In the video, NVIDIA VP Greg Estes covers the new NVIDIA SDK, Iray VR, Pascal-based Tesla P100 GPU, DGX-1 deep learning supercomputer in a box, and DriveWorks platform for self-driving

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Share Your Science: GPU-Accelerated 3D Oil Painting Simulation

Research, Computational Fluid Dynamics (CFD), CUDA, GeForce, GTC, Media & Entertainment, Share Your Science

Nadeem Mohammad, posted Apr 06 2016

Zhili Chen, a 3D Graphics Researcher from Adobe Research, shares how they are using TITAN X GPUs and CUDA to create a real-time painting system that simulates the interactions between brush, paint, and canvas at the bristle level. He describes how artists can use the system to draw realistic and vivid digital paintings, by applying

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6 Can’t Miss Experiences at the GPU Technology Conference

Events, Features, Automotive, CUDA, GeForce, GTC, Higher Education / Academia, Machine Learning & Artificial Intelligence, Virtual Reality

Nadeem Mohammad, posted Mar 28 2016

Explore the future of artificial intelligent and deep learning, experience virtual reality, and see what the future holds for self-driving cars at the GPU Technology Conference in Silicon Valley, April 4-7. In addition to keynotes by notable speakers that include NVIDIA CEO Jen-Hsun Hung, Toyota Research Institute CEO Gill Pratt, and IBM Watson CTO Rob

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