Lattice Semiconductor Showcases Low Power FPGA-based AI/ML Solutions at tinyML Summit
Tiny machine learning is broadly defined as a fast growing field of machine learning technologies and applications including hardware, algorithms and software capable of performing on-device sensor data analytics at extremely low power (typically in the milliwatt range and below). tinyML was founded in 2019 by Arm,
“Many developers are looking for innovative ways to address the low power operating requirements of Edge devices with on-board support for ML processing,” said
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Lattice Semiconductor |
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tinyML Summit |
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When: |
February 12 - 13, 2020 |
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Samsung |
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3655 N First St. |
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San Jose, CA 95134 |
For more information about Lattice’s iCE40 UltraPlus™ family of low power FPGAs, please visit http://www.latticesemi.com/en/Products/FPGAandCPLD/iCE40UltraPlus.
For more information about the sensAI™ solution stack for enabling FPGA-based AI/ML at the Edge, please visit https://www.latticesemi.com/en/Solutions/Solutions/SolutionsDetails02/sensAI.
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MEDIA CONTACTS:
Bob Nelson
Lattice Semiconductor
408-826-6339
Bob.Nelson@latticesemi.com
INVESTOR CONTACT:
Rick Muscha
Lattice Semiconductor
408-826-6000
Rick.Muscha@latticesemi.com