BRN 5.88% 18.0¢ brainchip holdings ltd

2021 BRN Discussion, page-7835

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    . 2021 Mar 23;15(3):3557-3567.
    doi: 10.1021/acsnano.1c00085. Epub 2021 Feb 23.

    Artificial Intelligence in Medical Sensors for Clinical Decisions

    Affiliations
    • PMID: 33620208
    DOI: 10.1021/acsnano.1c00085

    Abstract

    Due to the limited ability of conventional methods and the limited perspective of human diagnostics, patients are often diagnosed incorrectly or at a late stage as their disease condition progresses. They may then undergo unnecessary treatments due to inaccurate diagnoses. In this Perspective, we offer a brief overview on the integration of nanotechnology-based medical sensors and artificial intelligence (AI) for advanced clinical decision support systems to help decision-makers and healthcare systems improve how they approach information, insights, and the surrounding contexts, as well as to promote the uptake of personalized medicine on an individualized basis.Relying on these milestones, wearable sensing devices could enable interactive and evolving clinical decisions that could be used for evidence-based analysis and recommendations as well as for personalized monitoring of disease progress and treatment.We present and discuss the ongoing challenges and future opportunities associated with AI-enabled medical sensors in clinical decisions.

    ADDING TWO AND TWO COULD GET US FOUR:

    Join BrainChip Founder and CEO, Peter van der Made

    Ultra-low power neuromorphic execution of convolutional neural networks

    14 May 2021 10:00 am – 12:00 pm AWST

    About this Event

    The Akida neuromorphic processor is presented by its Australian inventor, Peter van der Made, currently CEO of BrainChip ltd. The processor runs CNNs at a power consumption of milliwatts and learns in real time. The chip also runs SNN, learns to recognize patterns in data in milliseconds and consumes just microwatts in fully spiking mode. A presentation of the technology and live demonstrations of the chip will be shown. This chip is designed for edge applications, wearable and portable devices that work independent of the internet. This is the next big thing in Deep Learning, making instant customization and battery powered intelligent devices a reality.

    It is probably just a coincidence that Peter van der Made and Professor Haick are speaking to the same idea in their independently written papers. After all people bump into each other in "Gin Joints" all over the world by accident or is that only in the movies.

    My opinion only DYOR
    FF.

    AKIDA Ballista

 
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