BRN 10.2% 27.0¢ brainchip holdings ltd

Morning all,Thoughts on this? It was posted by Edge Impulse on...

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    Morning all,

    Thoughts on this? It was posted by Edge Impulse on LinkedIn. (@BarrelSitter ?)

    https://www.eejournal.com/industry_news/ambient-scientific-announces-ultra-low-power-core-technology-for-ai-at-the-edge/

    Ambient Scientific announces ultra-low power core technology for AI at the Edge

    Ambient Scientific introduces GPX-10, industry’s lowest power Artificial Intelligence (AI) general purpose programmable processor. GPX-10 with “Always-on” Ambilogic technology is designed to enable AI in battery operated and other fast growing low power devices. GPX-10 is the first of a rich roadmap of programmable AI processors enabling inference and training capabilities.
    .

    GPX-10 is ideally suited to provide AI capabilities for vision applications such as Presence detection, Gesture recognition, Image recognition, computer vision and for voice applications such as Custom Wake words, voice recognition and authentication. With these capabilities, GPX-10 is well suited for a variety of markets which include client-side devices, healthcare, automotive, gaming, white goods, IOT and industrial products.

    Ambient Scientific’s founder and CEO, GP Singh, said, “GPX-10 can bring AI inference capabilities to the client- side applications at low-power and cost-effectively without the need for backend cloud support enabling solutions that will allow fast local decision making for a broad range of power-sensitive connected and standalone unconnected devices and appliances.”

    GPX-10, with its ten neural network cores and ARM Cortex-M4 host controller provides 400KB of SRAM onboard and an external flash memory interface. The SoC provides 8 analog inputs and a separate input for vision sensors. Ambient’s “always-on” logic consumes less than 100 microwatts of power, and in full operation, at 100MHz less than 300 microwatts of power for most voice applications. GPX-10 can be used for image recognition and in combination with voice or other analog inputs, it enables concurrent multisensor-based AI applications.

 
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