Introducing Metropolis – Video Analytics for Smart Cities

News, CUDA, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, tensort, Tesla

Nadeem Mohammad, posted May 08 2017

NVIDIA announced the NVIDIA Metropolis™ intelligent video analytics platform today at the GPU Technology Conference (GTC) in San Jose, CA.

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Developer Voices

News, Research, Developer Voices, GeForce, Jetson, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted May 05 2017

We love seeing all of the NVIDIA GPU-related tweets – here’s some that we came across this week: training machine learning models on CPU instead of GPU be like pic.twitter.com/4BjYSjSN9b — Simone Margaritelli (@evilsocket) May 3, 2017 GPU Heaven!!

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How to Scale Up Your Deep Learning at GTC

Events, cuDNN, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted May 04 2017

Whether you are using GPU clusters in the cloud or using your own data center to train deep neural networks, leading deep learning frameworks rely on NVIDIA’s Deep Learning SDK libraries to accelerate the massive amount of computation required to ach

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VRWorks Audio SDK in-depth

VRWorks, Signal / Audio Processing, DesignWorks, GameWorks, GameWorks Expert Developer, GameWorks VR, Unreal Engine 4

Abhijit Patait, posted May 03 2017

Take an in-depth look into the new VRWorks Audio SDK

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Developer Spotlight: Applying Deep Learning to Aerospace Technologies and Integrated Systems

Research, Aerospace, Architecture/Engineering/Construction, Big Data & Data Mining, Defense, Developer Spotlight, Image Recognition, Internet of Things, Machine Learning & Artificial Intelligence, Manufacturing

Nadeem Mohammad, posted May 03 2017

Vivek Venugopalan, a staff research scientist at the United Technologies Research Center  (UTRC) shares how they are using deep learning and GPUs to understand the life of an aircraft engine and predictive maintenance for elevators in high-rise build

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