Research team makes considerable advance in brain-inspired computing: Introduces a more efficient and sustainable hardware device for AI and ML applications

A lab, whose work is concentrated on neuromorphic computing or brain-inspired computing, has new research that introduces hardware improvements by harnessing a quality known as 'randomness' or 'stochasticity'. Their research contradicts the perception of randomness as a quality that will negatively impact computation results and demonstrates the utilization of finely controlled stochastic features in semiconductor devices to improve performing optimization. This has potential to create a more sophisticated building block for creating computers that can tackle sophisticated optimization problems, which can potentially be more efficient. What's more they can consume less power.