BrainChip
Bella Chen has extensive experience in the field of accounting. Bella began their career as an Accountant at Lenning & Co. Inc., Certified Public Accountants in 2011 and worked there until 2013. Bella then joined Schild & Co., Inc. Certified Public Accountants as a Senior Accountant from 2013 to 2016. Bella then worked as an Accountant at Irvine Company from 2016 to 2017. After that, they served as an Accounting Consultant at Pricebook Hongkong Ltd. from 2017 to 2020. Currently, Bella is employed as a Senior Accountant at BrainChip since 2020.
Bella Chen's education history includes obtaining a Master's degree in Accounting from San Diego State University in the period from 2009 to 2010. Prior to that, in 2008, they were a candidate for an MBA degree at the University of San Diego. In terms of additional certifications, Bella obtained the Certified Public Accountant (CPA) certification from the California Board of Accountancy in December 2012. Bella also obtained the certification of "Excel 2016 Expert: Interpreting Data for Insights" from Miscroft in May 2020.
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.