RAPIDS Accelerates Data Science End-to-End

Accelerated Computing, Artificial Intelligence, Data Science, GOAI, machine learning and AI, Python, RAPIDS

Nadeem Mohammad, posted Oct 15 2018

Today’s data science problems demand a dramatic increase in the scale of data as well as the computational power required to process it.

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PyTorch 1.0 Accelerated On NVIDIA GPUs

Artificial Intelligence, Computer Vision & Machine Vision, CUDA, cuDNN, Development Tools & Libraries, Machine Learning & Artificial Intelligence, Python

Nadeem Mohammad, posted Oct 02 2018

Facebook announced availability of PyTorch 1.0 preview release today at the PyTorch Developer Conference, an event for PyTorch Developer Community. PyTorch is one of the most widely used deep learning frameworks by researchers and developers.

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OpenAI Creates a Gym to Train Your AI

News, Research, Higher Education / Academia, Machine Learning & Artificial Intelligence, Python, Robotics

Nadeem Mohammad, posted Apr 27 2016

Open AI, a non-profit artificial intelligence research company backed by Elon Musk, launched a toolkit for developing and comparing reinforcement learning algorithms.

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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.

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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.

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Open, Reproducible Computational Chemistry with Python and CUDA

CUDA Spotlight, Computational Chemistry, CUDA, Python

Nadeem Mohammad, posted Oct 12 2015

Increasingly, computational chemistry researchers use GPUs to push the boundaries of discovery. This motivated Christopher Cooper, an Instructor at Universidad Técnica Federico Santa María in Chile, to move to a Python-based software stack.

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