DEEP LEARNING - APPLIED

Check out this collection of posters to see how researchers are applying deep learning and accelerating their work with the power of GPUs.

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    Autonomous Drone Racing with NVIDIA Jetson TX2

    Sunggoo Jung, Ph.D Candidate, KAIST

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    Breast Tumors Classification and Detection from Ultrasound Using Convolutional Neural Network Autoencoder

    Eddie Tzung-Chi Huang, Post-Doctoral, NVIDIA

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    Getting the most out of multi-GPU on Inference with Hadoop-Spark

    Daesu Chung, Co-Founder / CTO, XII Lab

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    Real-time Dump Truck Inspection using Drone with NVIDIA Jetson TX2

    Suzhi Xiao, CTO, Skysys Intelligent Technology

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    Transfer learning for Wet Road Perception

    Shi-Wei LO, Associate Researcher, National Center for High-performance Computing

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    Deep Learning of Railway Track Faults using GPUs

    Nathalie Rauschmayr, Expert Research & Development Engineer, CSEM (Swiss Center for Electronics and Microtechnology)

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    Building Damage Detection from Optical Satellite Imagery Using Time-Spatial Convolutional Neural Network

    Takashi Miyamoto, Asisstant Proffessor, Japan

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    Cognitron and MindFlow: 5G V2X-enabled Scalable Automotive AI Software

    Jincheol Kim, Principal Research Scientist, SK Telecom

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    Embodied Question Answering

    Abhishek Das, PhD Student, Georgia Tech

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    How Does Deep Learning Accelerate Eye Tracking

    Thomas Huang, VP, Beijing 7Invensun Technology Co., Ltd.

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    Predicting patient diseases and condition severity using RNNs and CNNs

    Julie Zhu, Chief Data Scientist, Optum Tech - United Health Group

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    Distributed Containerized Deep Learning model training across heterogeneous networks

    Bosky Mathew, Director IT, Optum Tech, United Healthcare Group

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    Retail Loss Prevention Using Deep Learning Technology on Store Surveillance Video

    Jian Chang, Senior Data Scientist, AsiaInfo

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    Cardiologist-Level Arrhythmia Detection with Convolutional Neural Networks

    Awni Hannun, PhD Student, Stanford University