Neuromorphic Chips – The Emerging Generation of Artificial Intelligence


We have the slightest of the idea about how big our universe is and how little have we explored yet. It can be said the same for technology, except that we still can’t comprehend the extent of its potential. We know that the impossible has been made possible, and that too in a better way than expected, through technology. Before 1903, when Wright Brothers flew first plane, flying seemed impossible. And, now? ‘Not-flying’ seems impossible! So, decades of innovations and developments have brought us to a stage where the task at hand is to emulate the efficiency of a human brain. Yes, it is going to be the third generation of Artificial Intelligence (AI)! At present, the second generation of AI has gained popularity and penetrated across almost all industry verticals. This generation leverages sensing and perception to enhance operational efficiencies. Scientists are inclining towards the third-gen breakthrough innovation with the introduction of neuromorphic computing. The focus is on the development of a chi that emulates the functions of human brain. What is the Focus of the Technology? This technology aims at equipping machinery with the ability to react to uncertainties in a way that a human brain would react. Scientists have developed algorithms that can emulate neuron networks of human brains. However, the key problems that have / may arise include the quantification of uncertainty. The efficiency in characterizing the magnitude of uncertainty to perform efficiently remains a difficult task to be handled. However, technology has taught one thing to us – Remain. Positive. If you can think about it, there has to be a way to market it real! And, considering the levels we have already crossed in such a short span of time, I believe we have ‘miles to go before sleep!’ Neuromorphic Computing – Functioning For the process of neuromorphic computing, chips are developed that emulate the neural networking of the brain. Here, each spike and node is facilitated to interact with each other to produce the most efficient AI output. The capabilities of these chips are backed by technologies such as sensory networks, inbuilt ethernet, high-speed data interfaces, embedded data-to-spike converters, neuron fabrics. Now, it doesn’t seem impossible anymore, right? In fact, tech giants, such as Intel, have not only invested massive amounts for research but also has developed chips that are being used for developmental and education purposes, which would further help in the advancement of the technology.