BrainChip
Professor Barry Marshall is a Nobel Laureate, Clinical Professor and Brand Ambassador at The University of Western Australia (UWA). Professor Marshall (UWA graduate-class of ’74), and Emeritus Professor J Robin Warren were awarded the 2005 Nobel Prize for Physiology or Medicine for their discovery of the bacterium Helicobacter pylori and its role in gastritis and peptic ulcer disease. Professor Marshall was at the Health Science Centre at the University of Virginia for 10 years before returning to Perth, Western Australia to his post as Clinical Professor of Medicine at the University of Western Australia.
Today, Professor Marshall is the Director of The Marshall Centre for Infectious Diseases Research and Training, founded in his honour. In addition to Helicobacter pylori research, the Marshall Centre is at the forefront of infectious disease identification and surveillance, diagnostics and drug design, and transformative discovery. His research has expanded with his group to embrace new technologies including next generation sequencing, and genomic analysis.
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BrainChip
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BrainChip is a global technology company that has developed a revolutionary advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. The solution is high performance, small, ultra-low power and enables a wide array of edge capabilities that include local training, learning and inference. The company markets an innovative event-based neural network processor that is inspired by the spiking nature of the human brain and implements the network processor in an industry standard digital process. By mimicking brain processing, BrainChip has pioneered a spiking neural network, called Akida™, which is both scalable and flexible to address the requirements in edge devices. At the edge, sensor inputs are analyzed at the point of acquisition rather than transmission to the cloud or a data center. Akida is designed to provide a complete ultra-low power and fast AI Edge Network for vision, audio, olfactory and smart transducer applications. The reduction in system latency provides faster response and a more power efficient system that can reduce the large carbon footprint data centers.