Share Your Science: Finding Interesting Statistics from Massive Datasets

Research, Algorithms & Numerical Techniques, Big Data & Data Mining, Business Intelligence & Analytics, Higher Education / Academia, Share Your Science, Tesla

Nadeem Mohammad, posted Apr 27 2016

Adam McLaughlin, PhD student at Georgia Tech shares how he is using NVIDIA Tesla GPUs for his research on Betweenness Centrality – a graph analytics algorithm that tracks the most important vertices within a network. This can be applied to a broad range of applications, such as finding the head of a crime ring or

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Train Your Reinforcement Learning Agents at the OpenAI Gym

CUDA Spotlight, Deep Learning, Machine Learning, Reinforcement Learning

Nadeem Mohammad, posted Apr 27 2016

Today OpenAI, a non-profit artificial intelligence research company, launched OpenAI Gym, a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Go. OpenAI researcher John Schulman shared some details about his organization, and how OpenAI Gym will make it easier for AI researchers to design, iterate and improve their next generation

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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. OpenAI Gym is a suite of environments that include simulated robotic tasks and Atari games as well as a website for people to post their results and share code. OpenAI researcher John Schulman

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Algorithm Achieves Better Accuracy Than Humans at Reading Lips

Research, Higher Education / Academia, Machine Learning & Artificial Intelligence, Tesla, Video Processing

Nadeem Mohammad, posted Apr 26 2016

Researchers at the University of East Anglia in the UK developed an algorithm that is able to interpret mouthed words with a greater degree of accuracy than human lip readers. Using Tesla K80 GPUs, the researchers trained a deep learning model to recognize mouth shapes corresponding to certain sounds as they are spoken, without any audio input

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Assessing Traumatic Brain Injuries with Deep Learning

News, Research, Image Processing, Machine Learning & Artificial Intelligence, Medical & Life Sciences, Neuroscience

Nadeem Mohammad, posted Apr 25 2016

More than one million athletes experience a concussion each year in the United States. Researchers from a California-based startup Neural Analytics have designed a portable headset device that maps blood flow in the brain, which may make it easier to recognize concussions. “There is growing evidence that concussions can change the blood flow in the

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