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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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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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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AI Composer Creates Music for Films and Games

News, CUDA, cuDNN, GeForce, Machine Learning & Artificial Intelligence, Media & Entertainment, Signal / Audio Processing

Nadeem Mohammad, posted Mar 16 2017

AIVA Technologies, one of the leading startups in the field of AI music composition, developed a deep learning-based system that is the world’s first non-human to officially acquire the worldwide status of Composer.

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AI Predicts Athletes’ On-Field Decision-Making

Research, Higher Education / Academia, Media & Entertainment

Nadeem Mohammad, posted Mar 10 2017

Researchers at Disney, California Institute of Technology and STATS, a supplier of sports data developed a deep learning-based technique that provides coaches and teams with a quicker tool to help assess defensive athletic performance in any game sit

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AI System Beats Pros at Texas Hold’em

News, Research, Big Data & Data Mining, CUDA, GeForce, Higher Education / Academia, Machine Learning & Artificial Intelligence, Media & Entertainment

Nadeem Mohammad, posted Mar 02 2017

A team of researchers from University of Alberta, Charles University in Prague and Czech Technical University developed an AI system called DeepStack that defeated professional poker players, making it the first computer program to beat professional

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