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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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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AI-Powered Robotic Cameraman Tracks Moving Objects

News, Embedded, Higher Education / Academia, Image Processing, Jetson, Machine Learning & Artificial Intelligence, Media & Entertainment, Video Processing

Nadeem Mohammad, posted Apr 21 2016

A team of students and alumni from UC Santa Cruz developed a prototype device called Raven that clips onto a GoPro camera and automatically tracks a selected target with the help of computer vision. Enes Mentese, cofounder of Raven, thought of the idea for the device after he filmed his snowboarding experience and majority of

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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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