QuickLogic and Antmicro Partner to Bring Low Power Machine Learning to Endpoint IoT Devices

San Jose, Calif. March 5, 2020:  QuickLogic Corporation is a developer of ultra-low power multi-core voice-enabled SoCs, embedded FPGA IP, and endpoint AI solutions, while Antmicro is a high-tech company focusing on introducing open technologies to modern edge computing systems. Bothhave tiedup to bring QuickFeather, a small form factor development board to enable the next generation of low-power machine learning (ML) capable IoT devices.

QuickLogic logo (PRNewsfoto/QuickLogic Corporation)

On top of the open source hardware design, available on GitHub today, Antmicro has also added support for the QuickFeather board in the Zephyr Real Time Operating System (RTOS) as well as in its open source Renode simulation framework.

“An open hardware development board for a cost effective, FPGA-enabled SoC platform coupled with useful sensors, supported in a mainstream open source RTOS and the open source Renode simulation framework, QuickFeather is ideally positioned for use in tiny ML applications such as SensiML’s AI Software Platform and Google’s TensorFlow Lite,” said Michael Gielda, Vice President of business development at Antmicro in a written statement.

The QuickFeather board with integrated EOS S3 voice and sensor processing SoC, and the Renode simulation environment are all sampling now and will be available in early Q2.


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