“Fitbit for Cows” Uses Deep Learning to Provide Insights for Dairy Farmers

Features, News, Business Intelligence & Analytics, Internet / Communications, Internet of Things, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 25 2016

To meet the demand of the world’s growing population, farmers need to improve the productivity of their herds.

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Share Your Science: Visualizing 200M Cybersecurity Alerts Daily with GPUs

Features, Research, Big Data & Data Mining, Business Intelligence & Analytics, Defense, Development Tools & Libraries, Image Processing, Machine Learning & Artificial Intelligence, Share Your Science

Nadeem Mohammad, posted May 20 2016

Joshua Patterson, principal data scientist of Accenture Labs shares how his team is using NVIDIA GPUs and GPU-accelerated libraries to quickly detect security threats by analyzing anomalies in large-scale network graphs.

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Cleaning Up Radioactive Waste from World War II With Supercomputing

Features, Research, Cluster / Supercomputing, Computational Chemistry, Defense, Government / National Labs, Higher Education / Academia, Tesla

Nadeem Mohammad, posted May 19 2016

The Handford site in southeastern Washington is the largest radioactive waste site in the United Sates and is still awaiting cleanup after more than 70 years.

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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.

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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.

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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.

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NVIDIA CEO Shares Current State of Artificial Intelligence

Features, News, Automotive, Cloud, Image Processing, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Mar 22 2016

In an interview with Fortune, NVIDIA CEO Jen-Hsun Huang weighs in on data centers, driverless cars, and deep learning technology. Below are some excerpts from the interview: Fortune: What’s the current status of artificial intelligence?

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AI Legend Gill Pratt of Toyota to Keynote at GPU Technology Conference

Events, Features, Automotive, GTC, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Feb 23 2016

Gill Pratt, CEO of the Toyota Research Institute and one of the world’s leading figures in artificial intelligence will be a keynote speaker at the GPU Technology Conference in Silicon Valley on April 7. Pratt joined Toyota in 2015 from the U.S.

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Autonomous Search-and-Rescue Drones Outperform Humans at Navigating Forest Trails

Features, Research, Defense, GeForce, Image Processing, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Feb 11 2016

In what could one day help find missing people in forests, a team of researchers used deep learning to train an autonomous drone to navigate a previously-unseen trail in a densely wooded forest completely on its own.

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Share Your Science: Unraveling Membrane Proteins with GPUs

Features, Research, Bioinformatics & Genomics, CUDA, Medical and LifeSciences, Molecular Dynamics, Share Your Science, SuperComputing

Nadeem Mohammad, posted Feb 09 2016

Erik Lindahl, Professor of Biophysics at Stockholm University, talks about using the GPU-accelerated GROMACS application to simulate protein dynamics.

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