JetPack 2.3 with TensorRT Doubles Jetson TX1 Deep Learning Inference

Features, Autonomous Vehicles, Computer Vision, Deep Learning, Embedded, Jetson TX1, Robotics

Nadeem Mohammad, posted Sep 12 2016

Deep Neural Networks (DNNs) are a powerful approach to implementing robust computer vision and artificial intelligence applications. NVIDIA Jetpack 2.3, released today, increases run-time performance of DNNs in embedded applications more than two-fold using NVIDIA TensorRT (formerly called GPU Inference Engine or GIE). With up to 20x higher power efficiency than an Intel i7 CPU during inference workloads, NVIDIA’s 1

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New Pascal GPUs Accelerate Inference in the Data Center

Features, Datacenter, Hyperscale, pascal, Tesla

Nadeem Mohammad, posted Sep 12 2016

Artificial intelligence is already more ubiquitous than many people realize. Applications of AI abound, many of them powered by complex deep neural networks trained on massive data using GPUs. These applications understand when you talk to them; they can answer questions; and they can help you find information in ways you couldn’t before. Pinterest image

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Latest NVIDIA JetPack Developer Tools Will Double Your Deep Learning Performance

Features, News, Research, CUDA, cuDNN, Embedded, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Sep 12 2016

Today NVIDIA released a major update of the JetPack SDK with new developer tools and libraries that doubles the performance of deep learning applications on the Jetson TX1 Developer Kit, the world’s highest performance platform for deep learning on embedded systems. JetPack 2.3 is available as a free download and is focused on making it

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Deep Learning May Soon Assist Pro Football Coaches

Research, CUDA, cuDNN, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla, Video Processing

Nadeem Mohammad, posted Sep 08 2016

An Oregon State University professor is training his GPU-accelerated neural network to understand and coach football. “AI will revolutionize sports,” said Alan Fern, lead researcher and computer science professor at Oregon State University. Using CUDA, Tesla K80 GPUs, and the cuDNN versions of Caffe and Torch deep learning frameworks, Fern trained his model on video

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Deep Learning in a Nutshell: Reinforcement Learning

Features, Deep Learning, Deep Neural Networks, Machine Learning, Reinforcement Learning

Nadeem Mohammad, posted Sep 08 2016

This post is Part 4 of the Deep Learning in a Nutshell series, in which I’ll dive into reinforcement learning, a type of machine learning in which agents take actions in an environment aimed at maximizing their cumulative reward. Deep Learning in a Nutshell posts offer a high-level overview of essential concepts in deep learning.

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