Neuromorphic Computing Breakthrough May Disrupt AI

The human brain is a remarkably complex, yet energy-efficient cognitive system. Scientists and researchers look to the brain's architecture as sources of inspiration for artificial intelligence (AI), machine learning, and deep learning. Concepts on artificial neural networks (ANNs) are somewhat analogous to the brain, with artificial nodes instead of neurons. Neuromorphic computing is an interdisciplinary endeavor that draws upon physics, mathematics, electronic engineering, biology, computer science, and neuroscience, in order to create artificial neural systems that resemble the architecture in the brain. A team of scientists from Linköping University in Sweden recently made a breakthrough in neuromorphic computing by engineering a new learning transistor.