Expert Bar on Low-Power AI with Lattice Semiconductor


Date:  Wednesday, September 16, 2020

Start Time: 12:00 pm

End Time: 12:45 pm

Come ask Lattice Semiconductor’s experts about using small, low-power FPGAs for accelerating intelligence at the edge.  Bring your questions about how much AI can be implemented using milliwatts of power.  And ask us about how you can quickly implement efficient AI inferencing in smart IoT devices for many applications using the Lattice sensAI™ stack combined with modular FPGA hardware kits, neural network accelerator IP cores, software tools, reference designs and custom design services.

Track

Session Speakers

  • Hussein Osman is a product marketing manager at Lattice Semiconductor where he is responsible for the iCE-40 FPGA product line and developing solutions for consumer market segments such as mobile devices, wearables and consumer IoT devices. Mr. Osman has over 15 years of experience in the semiconductor industry. He has worked as a system engineer in Touch, Cap sense, Fingerprint and USB technologies. Mr. Osman received his bachelor’s degree in Electrical Engineering from California Polytechnic State University in San Luis Obispo.

  • Hoon Choi is a Fellow at Lattice Semiconductor, where he leads the development of machine learning technology and solutions on low-cost and low-power FPGAs. Previously, he developed elliptic curve cryptography based security blocks for FPGA products and did HDCP2.2 specification and design work for HDMI products. Prior to joining Lattice, Choi obtained his Ph.D from KAIST in Korea then began his career in the technology industry working for Samsung Electronics, NeoPace Telecom, and Silicon Image, which was acquired by Lattice.


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Expert Bar on Low-Power AI with Lattice Semiconductor