Can AI function like a human brain? - Researchers have been asking this question for decades and their long-drawn-out pursuit has invoked doubts, ridicule, scorn, and what not.
But now, armed with Neuromorphic Computing, they are ready to show the world that their dream can change the world for better. As we unearth the benefits, the success of our machine learning and AI quest seem to depend to a great extent on the success of Neuromorphic Computing.
How Neuromorphic Computing Can Help Contemporary AI
The technologies of the future like autonomous vehicles and robots will need access to and utilization of an enormous amount of data and information in real-time. Today, to a limited extent, this is done by machine learning and AI that depend on supercomputer power. But these needs are extending and speed, power, and size are emerging as prime impediments.
Neuromorphic Computing chips can process multiple facts, learn tasks and patterns at high speed. These chips are expected to consume less power (up to 1000 times less) and can work with the efficiency of supercomputers.
Read More: Neuromorphic Computing: The Next-Level Artificial Intelligence