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What They Are

Neuromorphic chips received their particular name because they are modelled after biological brains. Our brains use billions of neurons and trillions of synapses to respond to sensory inputs, and neuromorphic chips are being developed to try and mimic this process. Neuromorphic chips are different from traditional chips such as those used by Apple and Samsung because they are used for applications that are rich in visual...

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The Good and the Bad

GOOD Efficiency: Neuromorphic chips are much faster than current computers at processing sensory data and learning from it, and consume very little power compared to traditional chips. This can potentially spike productivity levels and increase the efficiency of resource allocation. Real time computing: It is modelled after the brain, and functions like it too. If the chips were connected to sensors, it could...

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Application of Neuromorphic Chips

Medical: Can be used to help track the effectiveness of treatments and identify health problems in early stages of sickness Meteorology: Computers that draw on wind patterns, tides, and other indicators can predict tsunamis more accurately with the help of the chips. Sensory Enhancement: These chips could even lead to glasses for the visually impaired because the chips can use visual and auditory...

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Who Makes Them

There are many proponents of neuromorphic engineering. Qualcomm, a San Diego wireless telecommunications company, introduced the Zeroth Project in 2014, the first large-scale platform for neuromorphic computing. IBM Research and HRL Laboratories have also been working with the Defense Advanced Research Projects Agency (DARPA) to develop their own neuromorphic chips, and Human Brain Project run by the European Commission is spending close to...

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Barriers to Adoption

What does the future hold? The process of businesses adopting neuromorphic chips fully is a long one. There has not been enough research and experimentation with neuromorphic chips, and it will require many years before this technology achieves the stated purpose. The extensive costs of implementation may deter companies from using neuromorphic chips. It is a risky investment; one that many companies and...

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