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 players in heads-up no-limit Texas hold’em poker. “Poker has been a longstanding challenge problem in artificial intelligence,” says Michael

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Capturing and Sharing the Art of Games

GameWorks

David Coombes, posted Mar 02 2017

This year at GDC we are announcing two features that allow gamers to share their experiences. The Ansel SDK enables in-game photography, letting players create beautiful art directly from your game. ShadowPlay Highlights automatically captures their greatest gaming moments and then makes it easy to share them through the GeForce Experience in-game overlay.

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NVIDIA Flex 1.1.0 released

GameWorks, FleX

David Coombes, posted Mar 01 2017

We are pleased to announce the release of Flex 1.1.0, available immediately to all registered NVIDIA developers. Flex 1.1.0 is the largest update to Flex since its initial release, and this post will cover a few of the most notable new features.

To get started, the latest release package is available from the developer zone here.

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Physics and Simulation at GDC17

GameWorks

David Coombes, posted Mar 01 2017

If you are a simulation programmer looking to take your game to the next level of interactivity we have loads of great content for you at GDC. We have talks on D3D Asynchronous compute, GPU accelerated rigid bodies and a talk on advanced animation techniques in Unreal Engine 4. Be sure to attend our sponsored sessions and also stop by the booth, talk to the engineers and try the demos.

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Developer Spotlight: Earth Science Monitoring with Satellite Imagery

Research, Climate/Weather/Ocean Modeling, Cluster / Supercomputing, Government / National Labs, Image Recognition, Machine Learning & Artificial Intelligence, Developer Spotlight

Nadeem Mohammad, posted Mar 01 2017

Sangram Ganguly, a senior research scientist at the NASA Ames Research Center shares how they are analyzing satellite imagery with deep learning to gain a better understanding of our planet. As a founding member of NASA Earth Exchange (NEX), which utilizes NASA’s GPU-accelerated Pleiades supercomputer, Ganguly helped develop the collaboration platform that combines state-of-the-art supercomputing,

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