Human-like Character Animation System Uses AI to Navigate Terrains

Features, Research, CUDA, cuDNN, Games, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted May 02 2017

Researchers from University of Edinburgh and Method Studios developed a real-time character control mechanism using deep learning that can help virtual characters walk, run and jump a little more naturally.  “Data-driven motion synthesis using neural

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Deep Learning Predicts the Look of Cells

Features, Research, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Apr 07 2017

The Allen Institute for Cell Science launched a one-of-a-kind online portal of 3D cell images called Allen Cell Explorer that were produced using deep learning.

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3D Map of Earth’s Interior

Features, Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Government / National Labs, Higher Education / Academia, Tesla

Nadeem Mohammad, posted Mar 28 2017

A team of researchers led by Jeroen Tromp at Princeton University used a GPU-accelerated supercomputer to create a detailed 3D picture of Earth’s interior.

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Automatically Remove Backgrounds From Images

Features, Research, cuDNN, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Mar 22 2017

Researchers from Adobe, the Beckman Institute for Advanced Science and Technology and University of Illinois at Urbana-Champaign developed a deep learning-based method that clips objects from photos and videos.

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NVIDIA Jetson TX2: The New Gold Standard for AI at the Edge

Features, News, CUDA, cuDNN, Higher Education / Academia, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Mar 07 2017

The newest member of the Jetson family — Jetson TX2 — offers a comprehensive solution to challenges faced by developers looking to push the boundaries of AI at the edge.

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Google Uses AI to Diagnose Breast Cancer

Features, Research, CUDA, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Mar 03 2017

Google researchers developed a deep learning-based framework that automatically identifies tumors.

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Self-Taught AI Bot Beat Professional Players at Super Smash Bros

Features, News, CUDA, GeForce, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Tesla

Nadeem Mohammad, posted Feb 24 2017

Students from MIT and New York University developed an AI bot that ended up teaching itself in two weeks to beat professional gamers during the Genesis 4 Super Smash Bros tournament last month.

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Share Your Science: Advanced Retina Assessment and Diagnostic Services

Features, News, Research, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, Share Your Science, tensort

Nadeem Mohammad, posted Feb 14 2017

Nicholas Bedworth, founder of SocialEyes, shares how they are developing cost-effective mobile AI diagnostic tools that can provide critically-needed medical services to low-resource societies.

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Algorithm Identifies Skin Cancer as Accurately as a Dermatologist

Features, Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jan 25 2017

Stanford researchers developed a deep learning-based algorithm to visually diagnose potential cancer.

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Watch an AI Play Mario Kart

Features, Research, cuDNN, GeForce, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Jan 11 2017

A developer spent a couple of days over his winter break training an artificial neural network to play the classic racing game Mario Kart 64 and documented his results to share what he learned in the process.

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