BRN 5.26% 27.0¢ brainchip holdings ltd

The statement by the new CMO that AKIDA will be in every edge...

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    The statement by the new CMO that AKIDA will be in every edge sensor caused me to reflect on a couple of things I had found and put to one side because though it sounded just like AKIDA technology Accenture seemed to be firmly tied up with Intel and Loihi.

    After Sera's post regarding Intel's Loihi being trialled through Accenture prior to adopting the AKIDA technology advantage in its concept EV which we know is going to be legal on the road in Germany in about 6 months proving that it does indeed have a comfortable 1,000 kilometre range, I spent a little time going back to the Accenture document and link I found. The article from Accenture came out mid 2021 at which time Mercedes had been working with AKD1000 for about 12 months given the time they stated they had taken to bring the concept EV from vision to reality.

    Is it Brainchip's AKIDA technology you can be the judge:

    “Embracing change:
    Flexible gesture recognition for touchless interaction
    It’s now common to interact with systems through touch interfaces, like retail payment touchscreens and interactive displays. But high-touch surfaces like these have their limitations, and when they’re at high use in public spaces, they can also spread germs. Enabling more flexible and touchless gesture-based interaction can protect health as well as creating richer, more natural customer experiences.
    Shoppers could interact with smart retail kiosks to learn about products with simple gestures. Movie-goers could engage with dynamic movie posters with
    a wave and a nod. There are many possibilities; but recognizing gestures in the real world is difficult. Natural gestures vary tremendously between people, and even for a given person, gestures can shift quickly during interactions to reduce effort and improve communication. Humans adapt to these differences easily, but current AI hardware can’t. Enter neuromorphic computing.
    By pairing a neuromorphic processor with a spiking image sensor, Accenture Labs has developed AI models that support real-time natural gesture recognition. Unlike current AI solutions that would require large amounts of training data to recognize just a few gestures, these models can learn from new input data in real time. The system can quickly learn multiple different gestures from one person, and it can easily recognize different people’s gestures as well.
    Supporting this level of natural interaction will not only enable safer interactions
    with technology, it will expand the possibilities for gesture-driven experiences“

    (If you are new to Brainchip go back and read the ASX announcements etc at about 14 December, 2019 when Brainchip and Tata Consulting Services undertook a joint live demonstration of AKIDA technology controlling a virtual robot by recognising gestures from random members of the audience. This was using the Akida Development Environment (software emulation) and it was extremely impressive and led to Dr. Arijit Mukherjee from TCS writing on one of the slides that he was looking forward to building a robot based on an AKIDA platform. So we know that what Accenture is writing about has already been proven as an easily achieved use of AKIDA technology)

    https://www.accenture.com/_acnmedia/PDF-145/Accenture-Neuromorphic-Computing-POV.pdf

    The second link is a bonus link where the author of the article in Wired makes clear why embracing AKIDA technology is absolutely essential given what we know about its ability to reduce power consumption by 97% to 99% if employed in the sensor so that only the answer or the relevant meta data is sent for processing in data centres. (He does not reference AKIDA just the problem that it can solve.)

 
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