Brain-Inspired AI Supercomputing System

Increasingly, we hear about neurosynaptic supercomputing system powering complex AI tasks at unprecedented speed and energy efficiency.

At IBM, the IBM TrueNorth Neurosynaptic System that can efficiently convert data (such as images, video, audio and text) from multiple, distributed sensors into symbols in real time, paves its way. According to the firm, the system equals to 64 million neurons.

IBM and the U.S. Air Force Research Laboratory (AFRL) are collaborating on a first-of-a-kind brain-inspired supercomputing system powered by a 64-chip array of the IBM TrueNorth Neurosynaptic System.

One can observe that, the scalable platform IBM is building for AFRL will feature an end-to-end software ecosystem designed to enable deep neural-network learning and information discovery. The system’s advanced pattern recognition and sensory processing power will be the equivalent of 64 million neurons and 16 billion synapses, while the processor component will consume the energy equivalent of a dim light bulb – a mere 10 watts to power.