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. Using CUDA, TITAN X and GTX 1080 GPUs and cuDNN with the TensorFlow deep learning framework, the large-scale multiagent system used reinforcement learning to learn strategies employed

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NVIDIA DGX-1: The Fastest Deep Learning System

Features, Deep Learning, DGX-1, NVLink, pascal, Tesla P100

Nadeem Mohammad, posted Apr 05 2017

One year ago today, NVIDIA announced the NVIDIA® DGX-1™, an integrated system for deep learning. DGX-1 (shown in Figure 1) features eight Tesla P100 GPU accelerators connected through NVLink, the NVIDIA high-performance GPU interconnect, in a hybrid cube-mesh network. Together with dual socket Intel Xeon CPUs and four 100 Gb InfiniBand network interface cards, DGX-1 […]

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Get the Best Performance for Your Neural Networks with TensorRT

Research, Automotive, Embedded, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Apr 03 2017

NVIDIA TensorRT is a high-performance deep learning inference library for production environments. Power efficiency and speed of response are two key metrics for deployed deep learning applications, because they directly affect the user experience and the cost of the service provided. Tensor RT automatically optimizes trained neural networks for run-time performance, delivering up to 16x higher energy

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Sorting Shopping Lists with Artificial Intelligence

Research, Big Data & Data Mining, Cloud, Internet / Communications, Machine Learning & Artificial Intelligence, Retail / Etail, Tesla

Nadeem Mohammad, posted Mar 31 2017

Instacart, an Internet-based grocery delivery service, shares how they are using deep learning to help their tens of thousands personal shoppers be more efficient. “By observing how our shoppers have picked millions of customer orders through our app, we have built models that predict the sequences our fastest shoppers will follow,” mentions Instacart VP of

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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. But visual aesthetics are very personal, often subconscious, and hard to express. In a world with an

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