New GPU Computing Model for Artificial Intelligence

Features, News, Automotive, Deep Learning, Image Processing, Life Sciences, Natural Language Processing, Robotics

Nadeem Mohammad, posted Jan 12 2016

Yann LeCun, Director of Facebook AI Research, invited NVIDIA CEO Jen-Hsun Huang to speak at “The Future of AI” symposium at NYU, where industry leaders discussed the state of AI and its continued advancement. Jen-Hsun published a blog on his talk that coverstopics such as how deep learning is a new software model that needs

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Identifying Endangered Whales with Deep Neural Networks

Research, Cloud, cuDNN, Data Science, Deep Learning, GeForce, Image Processing, Python, Social Impact

Nadeem Mohammad, posted Jan 11 2016

With less than 500 North Atlantic right whales left in the world’s oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction. The current process is quite time-consuming and laborious. It starts with photographing right whales during aerial surveys, selecting and importing the photos into a

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Predicting Photos’ Memorability at “Near-Human” Levels with Deep Learning

Research, Academic, Deep Learning, Image Processing

Nadeem Mohammad, posted Jan 08 2016

MIT researchers just released a new GPU-accelerated algorithm that can predict how memorable or forgettable an image is almost as accurately as humans — and they plan to turn it into an app that subtly tweaks photos to make them more memorable. Using a TITAN X GPU and deep learning, the “MemNet” algorithm creates a

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Developing New Materials with GPU-Accelerated Supercomputers

Research, Academic, CUDA, Material Science, Molecular Dynamics, Monte Carlo, Python, SuperComputing

Nadeem Mohammad, posted Jan 07 2016

Research Area Specialist Dr. Joshua A. Anderson at University of Michigan was an early user of GPU computing technology. He began his career developing software on the first CUDA capable GPU, and now runs simulations on one of the world’s most powerful supercomputers. His “contributions to the development and dissemination of the open source, GPU-enabled

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Developing New Materials with GPU-Accelerated Supercomputers

CUDA Spotlight, CUDA, Materials Science, Molecular Dynamics, Monte Carlo, Python

Nadeem Mohammad, posted Jan 06 2016

Dr. Joshua A. Anderson is a Research Area Specialist at the University of Michigan who was an early user of GPU computing technology. He began his career developing software on the first CUDA capable GPU and now runs simulations on one of the world’s most powerful supercomputers. Anderson’s “contributions to the development and dissemination of

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