BRN 2.44% 20.0¢ brainchip holdings ltd

2024 BrainChip Discussion, page-677

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    So, have we got an offshoot, rebranding, part the restructure process on NVISO?

    BeEmotion.ai.

    I thought the layout, images and graphics looked similar when I looked at their homepage initially and digging deeper find some of what I snipped below.

    When I scrolled to the bottom of the page I can see the site managed by Tropus in Perth.

    There is also a small Japanese link at the bottom which takes you to the Japanese site.






    1704809475154.png


    HUMAN BEHAVIOUR AI

    NEUROMORPHIC COMPUTING

    BeEmotion empowers system integrators to build AI-driven human machine interfaces to transform our lives using neuromorphic computing. Understand people and their behavior in real-time without an internet connection to make autonomous devices safe, secure, and personalized for humans.


    NEUROMORPHIC COMPUTING INTEROPERABILITY

    ULTRA-LOW LATENCY WITH LOW POWER


    ULTRA-LOW LATENCY (<1MS)

    Total BeEmotion Neuro Model latency is similar for GPU and BrainChip Akida™ neuromorphic processor (300 MHz), however CPU latency is approximately 2.4x slower. All models on all platforms can achieve <10ms latency and the best model can achieve 0.6ms which is almost 2x times faster than a GPU. On a clock frequency normalization basis, this represents an acceleration of 6x.

    HIGH THROUGHPUT (>1000 FPS)

    BeEmotion Neuro Model performance can be accelerated by an average of 3.67x using BrainChip Akida™ neuromorphic processor at 300MHz over a single core ARM Cortex A57 as found in a NVIDIA Jetson Nano (4GB) running at close to 5x the clock frequency. On a clock frequency normalization basis, this represents an acceleration of 18.1x.

    SMALL STORAGE (<1MB)

    BeEmotion Neuro Models can achieve a model storage size under 1MB targeting ultra-low power MCU system where onboard flash memory is limited. Removing the need for external flash memory saves cost and power. BrainChip Akida™ format uses 4-bit quantisation where ONNX format uses Float32 format.

    DESIGNED FOR EDGE COMPUTING

    NO CLOUD REQUIRED


    https://hotcopper.com.au/data/attachments/5872/5872806-daa08d207f15c348469c5a1680b1c46a.jpg



    PRIVACY PRESERVING

    By processing video and audio sensor data locally it does not have to be sent over a network to remote servers for processing. This improves data security and privacy as it can perform all processing disconnected from the central server, which is a more secure and private architecture decreasing security risks
 
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