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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Recreate Any Voice Using One Minute of Sample Audio

Research, CUDA, cuDNN, GeForce, Higher Education / Academia, Internet / Communications, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal / Audio Processing

Nadeem Mohammad, posted Apr 27 2017

A Montreal-based startup developed a set of deep learning algorithms that can copy anyone’s voice with only 60 seconds of sample audio.

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Artificial Intelligence Could Help Diagnose Tuberculosis

Research, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Apr 25 2017

Researchers from Thomas Jefferson University Hospital in Philadelphia are training deep learning models to identify tuberculosis (TB) in an effort to help patients in regions with limited access to radiologists.

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Deep Reinforcement Learning Agent Beats Atari Games

Research, Cluster, CUDA, cuDNN, GeForce, Higher Education / Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Apr 21 2017

Stanford researchers developed the first deep reinforcement learning agent that learns to beat Atari games with the aid of natural language instructions.

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Emotional Chatting Chatbot

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

Nadeem Mohammad, posted Apr 14 2017

Computers lack empathy, but researchers from China are looking to change that with their deep learning-based chatbot capable of assessing the emotional content of a conversation and responding accordingly.

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Automatically Identify Wild Animals in Camera-Trap Images

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

Nadeem Mohammad, posted Apr 11 2017

A research team led by University of Wyoming developed a deep learning-based system to identify species in the Serengeti National Park in Tanzania that could make it easier for ecologists to track animals in the wild.

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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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Mastering StarCraft with AI

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

Nadeem Mohammad, posted Apr 05 2017

Researchers from Alibaba and University College London developed a deep learning-based system that learned how to execute a number of strategies for the popular real-time strategy game StarCraft.

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Personalized Aesthetics: Recording the Visual Mind

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

Nadeem Mohammad, posted Mar 29 2017

Most people in the world own a camera and take photographs—trillions of photos every year. An imminent problem is how to organize, search and re-use our photographs, and deep learning methods have already been successful in such tasks.

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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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