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autonomous vehicle

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Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Milliman     Published Date: Sep 07, 2016
Read this whitepaper to learn why manufacturers of autonomous vehicles should be making a Supplier Product Liability Autonomous Share (SPLASh) pool to manage risk.
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autonomous vehicles, splash, risk management, auto market, original equipment manufacturers, insurance risk
    
Milliman
Published By: Swift Navigation     Published Date: Feb 01, 2017
Download the Free White Paper: Piksi Multi for Autonomous Vehicles to learn how Swift Navigation’s centimeter-level accurate GNSS solution improves the performance of autonomous vehicles. Piksi Multi is a centimeter-accurate RTK GPS receiver designed for easy integration in the automotive core sensor suite. Its multiple bands and satellite constellations improve robustness of autonomous vehicle functionality with 99th percentile accuracy and convergence times in seconds.
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rtk, gps, gnss, autonomous vehicle, centimeter-accuracy, multi-band, multi-constellation, l1/ l2, automotive sensors, level 3+ autonomy, improve safety, automakers, navigation oems, electronics
    
Swift Navigation
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