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      Accelerate Value from Big Data, AI, and IoT Initiatives with One Tenth the Effort in your Data Cente
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      Deep Learning and the Transformation of Science Exploration
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      Deep Learning Applied to Genomics
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  <lastmod>2018-06-27T16:21:54.394Z</lastmod>
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      End-to-End AI Overview
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      From training to inference: create an end-to-end deep learning project using optimized hardware and software from Intel.
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  <lastmod>2018-06-27T16:52:19.517Z</lastmod>
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      FPGAs In Deep Learning Inference Today
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      ONNX - Freedom to Move Between Frameworks
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<url>
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790054332001/build-deep-learning-powered-big-data-solutions-with-bigdl-for-apache-spark</loc>
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<url>
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      Deep Learning with Satellite Imagery
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<url>
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  <lastmod>2018-06-19T18:02:15.897Z</lastmod>
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      Designing Far-Field Speech Processing Systems with Intel and Alexa Voice Service
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      In this hands-on workshop, you will learn how to build a far-field voice-initiated prototype with the Alexa Voice Service (AVS), which enables you to integrate Alexa directly into your product.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790625587001/fast-track-machine-learning-operationalization-through-streaming-integration</loc>
  <lastmod>2018-06-27T16:53:05.612Z</lastmod>
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      Fast-Track Machine Learning Operationalization Through Streaming Integration
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      Attendees of this session will leave having successfully built a full end-to-end operational machine learning application, and understand the principles by which this can be applied to their specific use-cases.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790056337001/high-throughput-single-shot-multi-box-object-detection-ssd-on-edge-devices-using-aws-greengrass-lambdas</loc>
  <lastmod>2018-07-02T15:50:59.407Z</lastmod>
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      HIGH throughput Single-shot multi-box object detection (SSD) on edge devices using AWS Greengrass La
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      We demonstrate object detection using Single-shot multi-box detection (SSD) running on edge devices.
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<url>
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  <lastmod>2018-06-27T16:51:00.226Z</lastmod>
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      Inference with Intel - Hands-On Workshop + Fireside Chat Including A Case Study with GE Healthcare
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      Optimizing training and decreasing time to train has a lot of industry attention. However, trained models need to be deployed to be used. This conversation will explore the path to optimized inference with GE as a specific example.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790055250001/introduction-to-deep-learning-for-time-series-data</loc>
  <lastmod>2018-06-13T19:08:44.650Z</lastmod>
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      Introduction To Deep Learning For Time Series Data
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      In this hands-on workshop, participants will learn how to build and train an nGraph model for predictive maintenance of aircraft engines.
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      2018-05-26T22:00:02.121Z
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790057575001/operationalize-ai-for-instant-business-impact-with-hybrid-transactional-and-analytical-processing</loc>
  <lastmod>2018-06-27T17:17:35.028Z</lastmod>
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      Operationalize AI for Instant Business Impact with Hybrid Transactional and Analytical Processing
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      Case studies will be presented on how AI and Machine Learning can be operationalized for price optimizations, fraud detection, risk calculations, and operational business intelligence.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5799312871001/optimizing-cnn-inference-on-cpus</loc>
  <lastmod>2018-11-12T18:55:13.097Z</lastmod>
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      Optimizing CNN Inference on CPUs
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      2018-06-19T15:23:58.315Z
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<url>
  <loc>http://aidc.gallery.video/detail/video/5799397903001/practical-deep-learning-in-personalization--developing-retail-customer-use-case</loc>
  <lastmod>2018-07-02T16:23:17.293Z</lastmod>
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      Practical Deep Learning in Personalization- Developing Retail Customer Use Case
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      This session will develop a Deep Learning recommender system based on Wide and Deep and Retail data from scratch using ngraph, open source software. 
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790623335001/using-deep-learning-for-entity-detection-and-intent-extraction-in-natural-language</loc>
  <lastmod>2018-06-27T16:40:03.767Z</lastmod>
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      Using Deep Learning for Entity Detection and Intent Extraction in Natural Language
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      In this session, we’ll get a glimpse into how algorithms can extract meaning out of our language.
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  <lastmod>2018-12-11T02:41:44.887Z</lastmod>
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      Accelerated Characterization of Neural Circuits of the Brain
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      Modern parallel computing techniques and optimizations have allowed dramatic acceleration of computations to characterize neural circuits of the brain.
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<url>
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  <lastmod>2018-06-27T17:04:27.985Z</lastmod>
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      Accelerating and Enabling Your Deep Learning Apps on MacOS
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      This presentation will describe the hardware and software infrastructure that supports machine learning at global scale.
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  <lastmod>2018-06-27T17:38:03.452Z</lastmod>
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      Advancing AI Performance using Intel® Xeon® Scalable Systems
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      Participants will learn how to harness the power of systems readily available through demonstrations of new methodologies that advance deep learning inference and training throughput on CPUs.
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  <lastmod>2018-07-02T15:49:40.829Z</lastmod>
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      AI For Human Interfaces - Use Cases and Ethics
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      AI Techniques and Technologies for the Autonomous Home
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      Automated Feature Engineering
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  <lastmod>2018-06-15T19:25:59.582Z</lastmod>
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      Bringing Deep Learning Based Applications to Client Platform
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      GE and Intel collaborated on a core-scaling study to establish the inference throughput of the CT Axial Classification model when deployed on Intel Xeon based platform. 
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      Best in class design techniques for developing portable networks to maximize performance on different compute architectures variety of network architectures.
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      Tensorflow Optimized for Intel® Xeon™
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  <lastmod>2018-06-27T16:55:33.850Z</lastmod>
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      tileDB - Array Data Needs an Array Storage Manager
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      Access to persistent storage determines overall performance, and for data defined in arrays, an array storage manager is the key.
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      Topological Data Analysis with Persistent Homology
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      We begin with an accessible review of persistent homology and then draw the connections between deep learning and persistent homology that may help to strengthen both, using examples from neuroscience and medicinal chemistry.
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      Understanding New Vector Neural Network Instructions (VNNI)
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      In this section we present the new integer vector neural network instructions targeting future Intel(R) Xeon(R) Scalable processors.
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  <lastmod>2019-02-07T17:00:52.562Z</lastmod>
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<url>
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      From training to inference: create an end-to-end deep learning project using optimized hardware and software from Intel.
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<url>
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<url>
  <loc>http://aidc.gallery.video/detail/video/5799291406001/build-a-battery-powered-deep-learning-inference-engine</loc>
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      This hand-on session will teach participants how to deploy their pre-trained deep neural network into a form factor PoC.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5799312871001/optimizing-cnn-inference-on-cpus</loc>
  <lastmod>2018-11-12T18:55:13.097Z</lastmod>
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      Optimizing CNN Inference on CPUs
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<url>
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  <lastmod>2018-06-19T18:17:03.533Z</lastmod>
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      Best in class design techniques for developing portable networks to maximize performance on different compute architectures variety of network architectures.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5798103673001/bringing-deep-learning-based-applications-to-client-platform</loc>
  <lastmod>2018-06-15T19:25:59.582Z</lastmod>
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      Bringing Deep Learning Based Applications to Client Platform
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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<url>
  <loc>http://aidc.gallery.video/detail/video/5789369219001/onnx---freedom-to-move-between-frameworks</loc>
  <lastmod>2018-06-27T16:43:38.984Z</lastmod>
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      We’ll discuss the ONNX project roots, how developers can benefit from ONNX today, and the future impacts of ONNX to the entire machine learning ecosystem.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790625587001/fast-track-machine-learning-operationalization-through-streaming-integration</loc>
  <lastmod>2018-06-27T16:53:05.612Z</lastmod>
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      Fast-Track Machine Learning Operationalization Through Streaming Integration
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      Attendees of this session will leave having successfully built a full end-to-end operational machine learning application, and understand the principles by which this can be applied to their specific use-cases.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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<url>
  <loc>http://aidc.gallery.video/detail/video/5789369218001/beyond-the-trolley-problem---ethics-in-ai</loc>
  <lastmod>2018-06-08T23:18:22.802Z</lastmod>
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      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789369218001
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790622144001/scaling-computer-vision-in-the-cloud</loc>
  <lastmod>2018-06-27T17:16:01.747Z</lastmod>
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      Scaling Computer Vision in the Cloud
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      Matroid brings computer vision to the masses by creating an easy-to-use studio.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5789369217001/advancing-ai-performance-using-intel®-xeon®-scalable-systems</loc>
  <lastmod>2018-06-27T17:38:03.452Z</lastmod>
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      Advancing AI Performance using Intel® Xeon® Scalable Systems
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      Participants will learn how to harness the power of systems readily available through demonstrations of new methodologies that advance deep learning inference and training throughput on CPUs.
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      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789369217001
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790625586001/efficient-neural-network-training-on-dellemc-intel-xeon-r-based-supercomputers</loc>
  <lastmod>2018-06-06T19:28:21.261Z</lastmod>
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      Efficient Neural Network training on DellEMC Intel Xeon(R) Based Supercomputers
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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<url>
  <loc>http://aidc.gallery.video/detail/video/5789366113001/deep-learning-applied-to-genomics</loc>
  <lastmod>2018-06-27T17:08:25.836Z</lastmod>
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      Deep Learning Applied to Genomics
    </video:title>
    <video:description>
      In this talk, SGI and Intel researchers will talk about how this collaboration leveraged Intel’s AI capabilities to automate SGI’s protein sequence analysis to run in mere seconds.
    </video:description>
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      session
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</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790624640001/tensorflow-optimized-for-intel®-xeon™</loc>
  <lastmod>2018-06-27T17:16:47.995Z</lastmod>
  <video:video>
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      Tensorflow Optimized for Intel® Xeon™
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      In this talk we describe Intel’s efforts in optimizing TensorFlow for Intel® Xeon™ processors (code name Skylake).
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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    <video:tag>
      software
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    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789363011001/accelerate-value-from-big-data-ai-and-iot-initiatives-with-one-tenth-the-effort-in-your-data-center</loc>
  <lastmod>2018-06-15T19:23:23.414Z</lastmod>
  <video:video>
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    <video:title>
      Accelerate Value from Big Data, AI, and IoT Initiatives with One Tenth the Effort in your Data Cente
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    <video:description>
      
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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    <video:duration>
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    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790280884001/tiledb---array-data-needs-an-array-storage-manager</loc>
  <lastmod>2018-06-27T16:55:33.850Z</lastmod>
  <video:video>
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    </video:thumbnail_loc>
    <video:title>
      tileDB - Array Data Needs an Array Storage Manager
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    <video:description>
      Access to persistent storage determines overall performance, and for data defined in arrays, an array storage manager is the key.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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      2018-05-27T21:57:24.201Z
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    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790620419001/inference-with-intel---hands-on-workshop-fireside-chat-including-a-case-study-with-ge-healthcare</loc>
  <lastmod>2018-06-27T16:51:00.226Z</lastmod>
  <video:video>
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      Inference with Intel - Hands-On Workshop + Fireside Chat Including A Case Study with GE Healthcare
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    <video:description>
      Optimizing training and decreasing time to train has a lot of industry attention. However, trained models need to be deployed to be used. This conversation will explore the path to optimized inference with GE as a specific example.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790620419001
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      2018-05-28T21:03:25.797Z
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    </video:tag>
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    <video:tag>
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    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789367431001/end-to-end-ai-overview</loc>
  <lastmod>2018-06-27T16:21:54.394Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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    <video:title>
      End-to-End AI Overview
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    <video:description>
      From training to inference: create an end-to-end deep learning project using optimized hardware and software from Intel.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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    <video:duration>
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      2018-06-19T15:21:53.949Z
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790056338001/portability-performance-in-embedded-deep-learning:-can-we-have-both</loc>
  <lastmod>2018-06-19T18:17:03.533Z</lastmod>
  <video:video>
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    </video:thumbnail_loc>
    <video:title>
      Portability &amp; Performance in Embedded Deep Learning: Can We Have Both? 
    </video:title>
    <video:description>
      Best in class design techniques for developing portable networks to maximize performance on different compute architectures variety of network architectures.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790056338001
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    <video:duration>
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      2018-06-19T15:04:15.459Z
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    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790055249001/accelerated-characterization-of-neural-circuits-of-the-brain</loc>
  <lastmod>2018-06-08T21:43:24.708Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
      https://cf-images.us-east-1.prod.boltdns.net/v1/static/4090876643001/ab002d8d-46d3-4d79-a2a7-359244c1c899/985def72-f41b-45db-94c3-4b0b9b17029b/1280x720/match/image.jpg
    </video:thumbnail_loc>
    <video:title>
      Accelerated Characterization of Neural Circuits of the Brain
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    <video:description>
      Modern parallel computing techniques and optimizations have allowed dramatic acceleration of computations to characterize neural circuits of the brain.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790055249001
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    <video:duration>
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    <video:publication_date>
      2018-05-26T22:00:01.822Z
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    </video:tag>
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    <video:tag>
      session
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    <video:category>
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    <video:gallery_loc title="AI DevCon 2019">
      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790056337001/high-throughput-single-shot-multi-box-object-detection-ssd-on-edge-devices-using-aws-greengrass-lambdas</loc>
  <lastmod>2018-07-02T15:50:59.407Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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    </video:thumbnail_loc>
    <video:title>
      HIGH throughput Single-shot multi-box object detection (SSD) on edge devices using AWS Greengrass La
    </video:title>
    <video:description>
      We demonstrate object detection using Single-shot multi-box detection (SSD) running on edge devices.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790056337001
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    <video:duration>
      2611
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    <video:publication_date>
      2018-05-26T22:00:01.989Z
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    <video:tag>
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    </video:tag>
    <video:tag>
      hands-on lab
    </video:tag>
    <video:tag>
      image/video
    </video:tag>
    <video:tag>
      software
    </video:tag>
    <video:category>
      All Videos
    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790062497001/aws-deeplens-workshop:-building-computer-vision-applications</loc>
  <lastmod>2018-06-27T16:56:04.820Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
      https://cf-images.us-east-1.prod.boltdns.net/v1/static/4090876643001/c9aee624-0c92-4281-b163-2855aea5e861/e062fca6-2623-4d95-820e-980a73596611/1280x720/match/image.jpg
    </video:thumbnail_loc>
    <video:title>
      AWS DeepLens Workshop: Building Computer Vision Applications   
    </video:title>
    <video:description>
      In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera, powered by Intel AI technology.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790062497001
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    <video:duration>
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    <video:publication_date>
      2018-05-26T22:00:01.956Z
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    <video:tag>
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    </video:tag>
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    <video:tag>
      edge
    </video:tag>
    <video:tag>
      hands-on lab
    </video:tag>
    <video:tag>
      image/video
    </video:tag>
    <video:tag>
      software
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    <video:category>
      All Videos
    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
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    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789363490001/best-practices-for-speed-in-deep-learning-applications-on-intel-architecture</loc>
  <lastmod>2018-06-06T18:20:10.337Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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    <video:title>
      Best Practices For Speed In Deep Learning Applications On Intel Architecture
    </video:title>
    <video:description>
      This workshop demonstrates how Intel software development tools can maximize your productivity in deep learning on Intel architecture. 
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789363490001
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    <video:duration>
      4177
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    <video:publication_date>
      2018-05-24T21:13:00.720Z
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    </video:tag>
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    </video:tag>
    <video:tag>
      framework
    </video:tag>
    <video:tag>
      hands-on lab
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    <video:category>
      All Videos
    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790056335001/deep-learning-with-satellite-imagery</loc>
  <lastmod>2018-06-06T18:23:15.598Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
      https://cf-images.us-east-1.prod.boltdns.net/v1/static/4090876643001/ebbc68e0-f696-4b06-90e3-c5fd6f7cab73/c3123b30-d62d-4f64-9f59-f47140ac5ae1/1280x720/match/image.jpg
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    <video:title>
      Deep Learning with Satellite Imagery
    </video:title>
    <video:description>
      We will guide attendees through a hands-on exercise using the tools to train a small network on Intel® Xeon® Processors to detect buildings or road networks using the SpaceNet™ dataset.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790056335001
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    <video:duration>
      2930
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      2018-05-26T22:00:01.821Z
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    <video:tag>
      hands-on lab
    </video:tag>
    <video:tag>
      image/video
    </video:tag>
    <video:category>
      All Videos
    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790045676001/designing-far-field-speech-processing-systems-with-intel-and-alexa-voice-service</loc>
  <lastmod>2018-06-19T18:02:15.897Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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    </video:thumbnail_loc>
    <video:title>
      Designing Far-Field Speech Processing Systems with Intel and Alexa Voice Service
    </video:title>
    <video:description>
      In this hands-on workshop, you will learn how to build a far-field voice-initiated prototype with the Alexa Voice Service (AVS), which enables you to integrate Alexa directly into your product.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790045676001
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    <video:duration>
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    <video:publication_date>
      2018-05-26T22:00:02.089Z
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    <video:tag>
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    </video:tag>
    <video:tag>
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    </video:tag>
    <video:tag>
      nlp
    </video:tag>
    <video:tag>
      software
    </video:tag>
    <video:category>
      All Videos
    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790624639001/ai-techniques-and-technologies-for-the-autonomous-home</loc>
  <lastmod>2018-06-27T16:21:19.250Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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    </video:thumbnail_loc>
    <video:title>
      AI Techniques and Technologies for the Autonomous Home
    </video:title>
    <video:description>
      This talk will focus on how machine learning technologies can learn human behavior to to make the home more intuitive.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790624639001
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    <video:duration>
      2941
    </video:duration>
    <video:publication_date>
      2018-05-28T21:03:25.428Z
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    <video:tag>
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    </video:tag>
    <video:tag>
      session
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    <video:category>
      All Videos
    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789369110001/fpgas-in-deep-learning-inference-today</loc>
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  <video:video>
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    </video:thumbnail_loc>
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      FPGAs In Deep Learning Inference Today
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    <video:description>
      We will discuss the specific technical features and the advances in hardware and software stack abstractions that highlight the FPGA value for Deep Learning.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789368925001/natural-language-question-answer-systems:-hands-on-workshop</loc>
  <lastmod>2018-06-27T16:41:25.595Z</lastmod>
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      Natural Language Question/Answer Systems: Hands on Workshop
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      In this hands on tutorial, you will learn how to implement practical Question and Answer systems such as chat bots, FAQ bots, and goal-oriented dialog systems using the open source nGraph and Intel NLP Architect libraries.
    </video:description>
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    <video:tag>
      software
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      All Videos
    </video:category>
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      http://aidc.gallery.video
    </video:gallery_loc>
  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790054332001/build-deep-learning-powered-big-data-solutions-with-bigdl-for-apache-spark</loc>
  <lastmod>2018-06-27T16:38:08.853Z</lastmod>
  <video:video>
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      Build Deep Learning Powered Big Data Solutions with BigDL for Apache Spark*
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    <video:description>
      In this hands-on session we will get started with BigDL docker/VM on laptop with AWS - Running sample jupyter notebooks
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790054332001
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790244445001/the-ai-first-experience</loc>
  <lastmod>2018-06-26T16:22:51.584Z</lastmod>
  <video:video>
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      The AI First Experience
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    <video:description>
      Overview of the importance of considering the customer and user experience when building and deploying a solution.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790244445001
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</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790618422001/automated-feature-engineering</loc>
  <lastmod>2018-06-27T16:20:07.085Z</lastmod>
  <video:video>
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      Automated Feature Engineering
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      In this talk, I will focus on a robust feature engineering method, Randomized Union of Locally Linear Subspaces (RULLS).
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790323853001/closing-keynote-with-andrew-ng</loc>
  <lastmod>2018-06-08T23:16:19.401Z</lastmod>
  <video:video>
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      Closing Keynote with Andrew Ng
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      Andrew Ng, CEO, Deeplearning.ai, Landing.ai provides the Closing Keynote of the 2018 Intel AI DevCon.
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</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790057575001/operationalize-ai-for-instant-business-impact-with-hybrid-transactional-and-analytical-processing</loc>
  <lastmod>2018-06-27T17:17:35.028Z</lastmod>
  <video:video>
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    <video:title>
      Operationalize AI for Instant Business Impact with Hybrid Transactional and Analytical Processing
    </video:title>
    <video:description>
      Case studies will be presented on how AI and Machine Learning can be operationalized for price optimizations, fraud detection, risk calculations, and operational business intelligence.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790057575001
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      2018-05-26T22:00:02.061Z
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789368927001/trends-and-strategies-for-ai-investments-and-startup-funding</loc>
  <lastmod>2018-06-11T23:34:53.678Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
      https://cf-images.us-east-1.prod.boltdns.net/v1/jit/4090876643001/c58a0c9f-8fc3-40d6-b8c8-9013b1168068/main/1280x720/30m47s350ms/match/image.jpg
    </video:thumbnail_loc>
    <video:title>
      Trends and Strategies for AI Investments and Startup Funding
    </video:title>
    <video:description>
      
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789368927001
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    <video:duration>
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    <video:publication_date>
      2018-05-24T21:13:01.022Z
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790616836001/understanding-new-vector-neural-network-instructions-vnni</loc>
  <lastmod>2018-06-27T17:14:18.129Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
      https://cf-images.us-east-1.prod.boltdns.net/v1/static/4090876643001/262deb6d-6bee-481a-af9e-5086e60dd6b7/6d157d33-e2ac-470c-921c-dc676f162ab0/1280x720/match/image.jpg
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    <video:title>
      Understanding New Vector Neural Network Instructions (VNNI)
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    <video:description>
      In this section we present the new integer vector neural network instructions targeting future Intel(R) Xeon(R) Scalable processors.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790616836001
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789365726001/cost-effective-deployment-of-ge-s-ct-axial-classification-algorithm-on-intel-server-platform-using-intel-deep-learning-deployment-toolkit</loc>
  <lastmod>2018-06-06T19:24:03.638Z</lastmod>
  <video:video>
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    <video:title>
      Cost effective deployment of GE&#39;s CT axial classification algorithm on Intel server platform using I
    </video:title>
    <video:description>
      GE and Intel collaborated on a core-scaling study to establish the inference throughput of the CT Axial Classification model when deployed on Intel Xeon based platform. 
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789365726001
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790057574001/making-sense-of-visual-data</loc>
  <lastmod>2018-06-27T16:59:57.290Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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    <video:title>
      Making Sense of Visual Data
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    <video:description>
      Researchers will share cutting-edge visual understanding technologies for solving the visual data explosion problem.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790057574001
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789368926001/fast-cnn-inference-in-resource-constrained-environments</loc>
  <lastmod>2018-06-27T17:00:58.400Z</lastmod>
  <video:video>
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    <video:title>
      Fast CNN Inference in Resource-Constrained Environments
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    <video:description>
      This work presents the usage of specialized vision processing unit (VPU) from Intel to help accelerate existing and emerging CNN architectures.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789368926001
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      2018-05-24T21:13:00.925Z
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</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790619969001/deep-learning-at-scale-with-bigdl-on-apache-spark-and-ibm-dsx</loc>
  <lastmod>2018-06-27T17:02:09.961Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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      Deep Learning at Scale with BigDL on Apache Spark and IBM DSX
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    <video:description>
      In this session led by IBM and Intel&#39;s data science experts, we will teach how to leverage BigDL workloads in the popular IBM DSX environment to solve real world deep learning problems.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790619969001
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      2018-05-28T21:03:25.575Z
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</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790618241001/deep-learning-based-classification-of-high-content-cellular-images-on-intel-architecture</loc>
  <lastmod>2018-06-27T17:21:20.217Z</lastmod>
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    <video:title>
      Deep Learning-based Classification of High-content Cellular Images on Intel Architecture
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    <video:description>
      In this talk we describe our data science work for using deep learning to automate aspects of the drug discovery pipeline.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790618241001
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<url>
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      Using Deep Learning for Entity Detection and Intent Extraction in Natural Language
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      In this session, we’ll get a glimpse into how algorithms can extract meaning out of our language.
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<url>
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  <lastmod>2018-07-02T15:49:40.829Z</lastmod>
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      AI For Human Interfaces - Use Cases and Ethics
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      In this talk Chris Heilmann will show how we already use AI powered products day to day and how we should be dealing with the data of our users to achieve a Star Trek like future rather than a dystopian surveillance society.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790327523001/jd.com-smart-retail-based-on-intel-client-ai-technology</loc>
  <lastmod>2018-06-27T17:12:06.311Z</lastmod>
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      JD.com Smart Retail Based on Intel Client AI Technology
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      JD.com, a leading China retailer will share their technology solution for smart retail, based on Intel client technologies including integrated graphics and edge computing workstation.
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<url>
  <loc>http://aidc.gallery.video/detail/video/5789371433001/new-frontiers-in-imitation-learning</loc>
  <lastmod>2018-06-15T19:20:03.784Z</lastmod>
  <video:video>
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      New Frontiers in Imitation Learning
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      In this talk, I will describe ongoing research in using imitation learning to develop predictive models of fine-grained behavior.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790624930001/accelerating-and-enabling-your-deep-learning-apps-on-macos</loc>
  <lastmod>2018-06-27T17:04:27.985Z</lastmod>
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      Accelerating and Enabling Your Deep Learning Apps on MacOS
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    <video:description>
      This presentation will describe the hardware and software infrastructure that supports machine learning at global scale.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790624930001
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      2018-05-28T21:03:25.883Z
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  </video:video>
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790618240001/ai-low-numeric-precision-inference-on-fpgas</loc>
  <lastmod>2018-06-27T16:39:30.031Z</lastmod>
  <video:video>
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      AI Low Numeric Precision Inference on FPGAs
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    <video:description>
      This research explores the technical and practical feasibility of low precision deep neural networks, from 8-bit down to binary (1-bit) in for both activation and weights, and compares the accuracy of various low precision implementations across a st
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
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    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5790619968001/topological-data-analysis-with-persistent-homology</loc>
  <lastmod>2018-06-27T17:04:58.307Z</lastmod>
  <video:video>
    <video:thumbnail_loc>
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      Topological Data Analysis with Persistent Homology
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    <video:description>
      We begin with an accessible review of persistent homology and then draw the connections between deep learning and persistent homology that may help to strengthen both, using examples from neuroscience and medicinal chemistry.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790619968001
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      2018-05-28T21:03:25.484Z
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    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
</url>
<url>
  <loc>http://aidc.gallery.video/detail/video/5789368924001/deep-learning-and-the-transformation-of-science-exploration</loc>
  <lastmod>2018-06-27T16:04:08.661Z</lastmod>
  <video:video>
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    <video:title>
      Deep Learning and the Transformation of Science Exploration
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    <video:description>
      The session will discuss the unique characteristics of Deep Learning and how they constitute a ‘game changer’ for science exploration.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789368924001
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      2018-05-24T21:13:00.668Z
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    <video:gallery_loc title="AI DevCon 2019">
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<url>
  <loc>http://aidc.gallery.video/detail/video/5789368923001/applied-machine-learning-at-facebook:-a-datacenter-infrastructure-perspective</loc>
  <lastmod>2018-06-27T16:00:12.800Z</lastmod>
  <video:video>
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    <video:title>
      Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective
    </video:title>
    <video:description>
      This presentation will describe Facebook&#39;s hardware and software infrastructure that supports machine learning at global scale.
    </video:description>
    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5789368923001
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      2018-05-24T21:13:00.474Z
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    <video:gallery_loc title="AI DevCon 2019">
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  </video:video>
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<url>
  <loc>http://aidc.gallery.video/detail/video/5790055250001/introduction-to-deep-learning-for-time-series-data</loc>
  <lastmod>2018-06-13T19:08:44.650Z</lastmod>
  <video:video>
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    <video:title>
      Introduction To Deep Learning For Time Series Data
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    <video:description>
      In this hands-on workshop, participants will learn how to build and train an nGraph model for predictive maintenance of aircraft engines.
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    <video:player_loc allow_embed="yes" autoplay="autoStart=true">
      https://players.brightcove.net/4090876643001/H120qZVBW_default/index.html?videoId=5790055250001
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    <video:duration>
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      2018-05-26T22:00:02.121Z
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    <video:tag>
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    <video:tag>
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    </video:category>
    <video:gallery_loc title="AI DevCon 2019">
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