Train and Deploy Deep Learning Applications with NVIDIA DIGITS 5 and New TensorRT

News, Research, DIGITS, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Software, tensort

Nadeem Mohammad, posted Mar 08 2017

Today we are announcing the production release of NVIDIA DIGITS 5 and  NVIDIA TensorRT. DIGITS is an interactive deep neural network training application for developers to rapidly train highly accurate neural networks for image classification, segmentation and object detection. Trained models can be deployed to the cloud, PC, embedded or automotive GPU platforms, with TensorRT

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NVIDIA Jetson TX2 Delivers Twice the Intelligence to the Edge

Features, Autonomous Vehicles, Deep Learning, Embedded, Jetson, Jetson TX2

Nadeem Mohammad, posted Mar 07 2017

Today at an AI meetup in San Francisco, NVIDIA launched Jetson TX2 and the JetPack 3.0 AI SDK. Jetson is the world’s leading low-power embedded platform, enabling server-class AI compute performance for edge devices everywhere. Jetson TX2 features an integrated 256-core NVIDIA Pascal GPU, a hex-core ARMv8 64-bit CPU complex, and 8GB of LPDDR4 memory […]

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NVIDIA Jetson TX2: The New Gold Standard for AI at the Edge

Features, News, CUDA, cuDNN, Higher Education / Academia, Image Recognition, Jetson, Machine Learning & Artificial Intelligence, Robotics

Nadeem Mohammad, posted Mar 07 2017

The newest member of the Jetson family — Jetson TX2 — offers a comprehensive solution to challenges faced by developers looking to push the boundaries of AI at the edge. The credit card-sized Jetson TX2 is the world’s leading high-performance, low-power embedded platform. It features a 256-core NVIDIA Pascal GPU, a hex-core ARMv8 64-bit CPU

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Google Uses AI to Diagnose Breast Cancer

Features, Research, CUDA, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Mar 03 2017

Google researchers developed a deep learning-based framework that automatically identifies tumors. “What we’ve trained is just a little sliver of software that helps with one part of a very complex series of tasks,” said Lily Peng, the project manager behind Google’s work. “There will hopefully be more and more of these tools that help doctors

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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 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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