Integrated solution demonstrates always-on machine learning tasks including keyword spotting and visual wake words
BrainChip Holdings Ltd, the world’s first commercial producer of ultra-low power, fully digital, event-based, neuromorphic AI IP, will demonstrate how BrainChip’s Akida neuromorphic processor enables low-power, high-performance learning applications on Microchip’s embedded microprocessor (MPU) boards at the Consumer Electronics Show (CES) 2024 in Las Vegas.
“We look forward to demonstrating the potential and ease of integrating Akida for always-on machine learning applications on embedded devices at CES”
BrainChip is gearing up to spotlight the revolutionary capabilities of Akida in conjunction with Microchip’s SAMv71 Ultra Board and SAMA7G54-EK Board in a specialized demonstration. This unique showcase will shed light on two widely used always-on machine learning tasks: keyword spotting (KWS) and visual wake words (VWW). KWS, leveraging sophisticated neural networks, excels at recognizing keywords like “Hey, Siri” or “OK, Google.” Meanwhile, VWW is adept at classifying the presence of individuals in images, making it valuable for applications, such as in-home security and smart doorbells. With a focus on ultra-low latency, minimal power consumption and unparalleled accuracy, this demonstration aims to explore the forefront of innovation and showcase the incredible potential of Akida.
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“We look forward to demonstrating the potential and ease of integrating Akida for always-on machine learning applications on embedded devices at CES,” said Rob Telson, Vice President of Ecosystem and Partnerships at BrainChip. “By combining our innovative neuromorphic processor and models with Microchip’s high-performance MPUs and boards, you can deliver compelling solutions to the market to serve the rapidly growing demand for TinyML at the Edge.”
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“In this collaborative showcase with BrainChip, we will illustrate how our customers can leverage the advantages of next-generation AI to enable low-power, high-performance machine learning applications on our embedded platforms,” said Rod Drake, corporate vice president of Microchip’s MPU32 and MCU32 business units. “This is truly a not-to-miss demonstration at CES 2024.”
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