WEBINAR DETAILS
  • When
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  • About
    Edge AI is redefining how humans interact with machines—from smart homes to industrial automation. In this session, Lattice Semiconductor joined by tinyVision.ai and AIZip will showcase how its Lattice sensAI solution stack and ultra-low power FPGAs enable responsive, secure, and always-on HMI applications. Together, we'll explore how a growing ecosystem of pretrained models, system on module (SOMs), and scalable processing engines is accelerating development and deployment at the edge. Join us to discover how Lattice is shaping the future of human-machine interaction with a comprehensive, low power Edge AI platform.

    This session is part of our FPGA Roundtable series. Registration/event page here.

    Sponsored by:
  • Duration
    1 hour
  • Price
    Free
  • Language
    English
  • OPEN TO
    Everyone
  • Dial-in available
    (listen only)
    Not available.
FEATURED PRESENTERS
  • Webinar hosting presenter

    Hussein Osman

    Director of Segment Marketing, Lattice Semiconductor
    Hussein Osman is a semiconductor industry veteran, with 20+ years’ experience bringing multiple new technologies to market. Over the past 5 years he has been leading the sensAI solution development and go to market at Lattice semiconductor....
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  • Webinar hosting presenter

    Venkat Rangan

    Founder, tinyVision.ai
    Venkat is a seasoned engineer with deep expertise in IoT system design and implementation. He is the founder of tinyVision.ai Inc., a hardware and system design consulting company. Prior to that, he served as Director of Engineering at Qualcomm....
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  • Webinar hosting presenter

    Nathan Francis

    Head of Business Development, Aizip
    Nathan Francis is the Head of business development at Aizip where he works with partners and customers worldwide to bring AI capabilities to edge and endpoint devices—creating AI enabled products for both consumers and enterprises. Nathan was part...
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  • Webinar hosting presenter

    Ken Briodagh

    Editor in Chief Embedded Computing Design
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