BrainChip
Michelle Afflick has a diverse work experience spanning over several years. Michelle is currently serving as the Financial Controller at BrainChip since July 2021. Prior to that, they operated their own business called Afflick Financial Services, where they worked as the Principal since September 2011. Michelle has also worked at Edge Corporate Services as a Manager from March 2014 to June 2017. Michelle'searly career includes roles at ConocoPhillips Australia Pty Ltd, where they served as the Manager of Finance Reporting & Analysis from January 2005 to May 2007, and as a Senior Accountant from December 1996 to December 2004.
Michelle Afflick completed their Bachelor of Commerce (B.Com.) degree in Accounting from The University of Western Australia from 1987 to 1989. Following that, they enrolled in Chartered Accountants Australia and New Zealand from 1994 to 2020, although the information does not specify any specific degree or field of study.
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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.