IBM creates artificial neurons from phase change memory for cognitive computing

IBM scientists have created artificial neurons and synapses using phase change memory (PCM) that mimics the brain’s cognitive learning capability.

It is the first time the researchers were able to create what they described as “randomly spiking neurons” using phase-change materials to store and process data. The discovery is a milestone in developing energy-sipping and highly dense neuro networks that could be used for cognitive computing applications.

In short, the technology can be used to improve today’s processors in order to perform computations in applications such as data-correlation detection for the Internet of Things (IoT), stock market trades and social media posts at a staggeringly fast rate.

artificial neurons phase change memory IBM Research

The results of IBM’s research, “Stochastic Phase-Change Neurons,” is 10 years in the making and appeared today on the cover of the peer-reviewed journal Nature Nanotechnology.