The neuromorphic chip is a new, miniaturized microchip that takes inspiration from the actual human mind to recreate its complex thought processing algorithms and information processing systems. The human mind processes information rapidly and stores it in memory with more than 100 billion synaptic neurons constantly communicating with each other through over 100 gigabytes of synapses, which constitute the connecting pathways. When information is retrieved by the brain, it only requires about 10ms to retrieve the data, a speedy process compared to the evolution of the Human Brain (which was found to be much slower than the previously believed, thinking machines, which had a much larger number of neurons). A neuromorphic chip made out of Nano photonics will allow scientists to control and manipulate matter at a molecular level. Scientists believe that they may be able to create computers that are as small as a single atom. In addition, this type of chip may also be used to control tissue in a non-invasive manner.
Market Dynamics:
Increasing demand for machine learning and artificial intelligence is expected to drive growth of the global neuromorphic chip market during the forecast period. Machine learning and artificial intelligence has been used in diverse range of end-use sectors and applications including automobile, healthcare, consumer service, disease mapping, social media monitoring, and etc. Neuromorphic computing is designed to emulate human brain capabilities, which in turn, has increased the importance of machine learning and artificial intelligence.
Integration of smart machines is expected to propel the global neuromorphic chip market growth over the forecast period. Smart machines are based on cognitive computing and artificial intelligence and have emerged as major trends across the globe. Smart machine manufacturers are integrating neuromorphic chips into their systems, in order to enhance overall performance. Furthermore, the ability of these systems to learn from their surroundings and interactions and respond suitably without the need for preprograming is encouraging the adoption of these smart machines in lieu of conventional machines.
Moreover, cross-industry partnerships and collaborations is expected to accelerate growth of the global neuromorphic chip market growth over the forecast period.
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Detailed Segmentation:
Detailed Segmentation:
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