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Weebit - 2021and beyond, page-3026

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    nice reaction to the SOR announcement the future of brain computing, the industry is in for the leap, WBT is front and centre with the tool to provide


    SOR Printable Brain Inspired Computing Hardware


    Western Australia - December 30th 2020 - Strategic Elements Ltd (ASX:SOR) is pleased to report that
    testing has confirmed that the printable Nanocube Memory technology has potential as printable braininspired (neuromorphic) computing hardware. Work at the University of New South Wales confirmed that
    the Nanocube Memory structure and operation allows it to combine computing and memory in one place
    in a way similar to how biological neurons operate.
    Hardware Solution to Brain Inspired Computing
    Many in the memory technology sector believe that the future of computing will not be about cramming
    more components on a chip but in rethinking processor architecture from the ground up to emulate how a
    brain efficiently processes information.
    The artificial synapses fabricated by UNSW using the Nanocube Memory technology provides a potential
    hardware solution that has combined data storage and processing abilities, a key to neuromorphic
    computing.
    The technology has the potential to store a range of values (as resistance states), rather than just the
    traditional one and zero, allowing it to mimic the way the strength of a connection between two biological
    synapses can vary. Changing those synaptic weights (connection strength) in artificial synapses in
    neuromorphic computing is one way to allow the brain-based system to achieve self-learning.
    A potential hardware solution has the ability to store and process data within the same component. This
    reduces latency and power consumption as information does not need to be sent back and forth
    between the memory and processing unit. This technology could potentially enable neuromorphic
    hardware to emulate high processing ability of the human brain with low energy consumption.
    Printed Brain Inspired Hardware
    Current data processing and storage technologies are based on conventional silicon CMOS
    (complementary metal-oxide semiconductor) technology which are rigid, requires high temperature
    processing and expensive manufacturing facilities.
    Printable artificial synapses could potentially enable combined data processing and storage for
    printed/flexible electronics, the lack of which have held back more complex applications to be realized. In
    particular resource constrained IoT devices are always in need of hardware that consume less power and
    energy, as these are the major constraints for compact systems with limited battery supply.
    Testing of Nanocube Memory to Emulate Human Brain
    In order to test the artificial synapses fabricated using the Nanocube Memory technology for synaptic
    plasticity, a memristor device was fabricated and subjected to consecutive positive and negative currentvoltage (I-V) sweeps which showed incremental decrease in resistance of the memristor device with
    positive voltage sweeps and incremental increase in resistance of the memristor device with negative
    voltage sweeps. This shows the core synaptic function of synaptic plasticity of the memristor technology.
    Next, when electrical signals are applied to a biological synapse, the connection strength between neurons
    can be excited (potentiation) or inhibited (depression) which can be interpreted as the memorizing and
    forgetting behavior of the human brain.
    Further Work
    The UNSW Nanoionics laboratory is now closed as part of the UNSW shut down period for Christmas and
    New Year and will re-open in the first week of January. Further early stage work on features such as
    stability, potentiation, depression, latency and power requirements will continue and be reported in Q1
    2021.
    The Company also notes that it is very pleased with progress of the printable self-recharging battery
    technology and remains on track to announce further information in January 2021.
    Australian Stock Exchange
    Regulatory Release
    December 30th 2020
    CODE : SOR
    S
 
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