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      Open-Sourced Deep Learning With OpenVINO

      How to Join

      This Tech Talk is free and open to everyone. Register below to get a link to join the live event.

      Presentation and Q&AOctober 28, 12:00–1:00 p.m. ET

      If you can’t join us live, the video recording will be published here as soon as it’s available.

      About the Talk

      Built on top of popular open-sourced libraries such as OpenCV, OpenVINO is a truly open-sourced platform that enables deep learning deployments across platforms, including CPUs, integrated GPUs, FPGAs and AI with a write-once, deploy-anywhere simplicity. We discuss what it takes to build a sustainable, open-sourced deep learning inference platform for everyone. This talk highlights how you can get involved in the community, and educational resources you can use to learn more.

      What You’ll Learn

      • How collaboration and the open source community are shaping deep learning today
      • Ways to contribute to the future of deep learning
      • Ready-to-go tools, educational resources, and a vibrant community to help you get started quickly

      This Talk is Designed For

      • AI/DL app developers of all levels, from beginners to experts

      About the Presenters

      • Zoe Cayetano – Product Manager for OpenVINO, Intel
      • Raymond Lo – Software Evangelist for OpenVINO, Intel

      Zoe Cayetano is a Product Manager at Intel working on advancing the deployment of AI/DL technologies from edge to cloud. Prior to Intel, she founded an emotion-sensing headphones startup and was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers. She holds Bachelor’s degrees in Applied Physics and Business.

      Raymond Lo is a Software Evangelist at Intel for AI and deep learning. Prior to joining Intel, Raymond was the founder and CTO of Meta (a YCombinator-backed augmented reality company) and the Technology Evangelist for Samsung NEXT. During his PhD, Raymond worked with Prof. Steve Mann, who is widely recognized as the father of wearable computing.

      To join the live Tech Talk, register here.

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