Global market of neuromorphic computing can surge to $527,604,000 by 2027 From what it is understood, with the advancements of the Internet of Things (IoT) and experiments on mimicking the human brain, it is believed that neuromorphic computing can be the technology to help with this. Neuromorphic computing uses analogue signals to send information from one neuron to another, unlike digital computers which use binary-encoded signals. Neuromorphic computing is expected to be parallel, scalable and have collocated memory processing. Experts believe with the advent of distributed and edge computing, neuromorphic computing can be used in emerging fields such as IoT and drones, among others. “Neuromorphic chips can run on batteries with a very low power consumption and can learn on its own with newer inputs making it adaptable to various conditions. Since the computing power is available at the edge it will have less reliance on IoT cloud computing but can enhance IoT use cases and enable solutions to be built with a combination of IoT and Neuromorphic computing,” Abhijit Roy, director, global head, energy and utility domain and IoT, Happiest Minds Technologies, a digital transformation provider, told FE-transformX, adding that IoT platforms still need to aggregate vast amount […]
Click here to view original web page at www.financialexpress.com
