Unlocking the Power of Data at the Edge: tinyML and Edge AI for Sustainable Intelligence
ABSTRACT
The emergence of tinyML and edge computing is catalyzing a transformation in intelligent sensor technologies. By enabling sophisticated machine learning algorithms to run locally on low-power hardware, these advances allow sensors to process data and make inferences at the edge while minimizing energy consumption. This paradigm shift towards edge-based intelligence is opening novel capabilities across diverse sectors, from manufacturing to agriculture to healthcare. Over the next decade, forecasts predict an explosion of intelligent sensors leveraging the potency of tinyML and edge ML. By processing sensor data locally, these technologies can unearth insights, optimize processes, identify anomalies, and reveal intricate patterns in real-time. This presentation surveys the landscape of AI at the edge pertinent to sensors and embedded devices. It aims to provide pragmatic insights that will guide the MEMS and Sensors Community in capitalizing on the transformative potential of embedded intelligence to build a more intelligent, efficient, and sustainable future.
BIOGRAPHY
Stephen Whalley is a distinguished expert in the semiconductor, MEMS, and sensors industry, boasting an illustrious career spanning over three decades. With a wealth of experience across diverse domains including design, applications, ecosystem development, marketing, business, and management, he has established himself as a luminary in the field. Demonstrating a keen business acumen, Stephen has consistently demonstrated his prowess in steering intricate cross-industry initiatives and fostering collaborative ecosystems. He has been instrumental in providing strategic counsel and direction to a multitude of startups.
His journey has been prominently marked by his exceptional tenure of over 25 years at Intel Corporation, where he held pivotal roles in both European and American capacities. His leadership was pivotal in orchestrating multiple product and technology development endeavors. Furthermore, he has played influential roles in numerous industry associations and advisory boards within the semiconductor, MEMS, and sensors realms, contributing significantly to pivotal technological advancements such as USB and PCI.
Stephen's academic foundation is rooted in Electrical Engineering, with an Honors degree from the University of Salford, England. Complementing this, he holds a master’s degree in international management from the prestigious American Graduate School of International Management at Arizona State University (""Thunderbird""), situated in Phoenix, Arizona. In his recent engagements, Stephen has lent his strategic insights to SEMI's MEMS and Sensors Industry Group (MSIG) in a consulting capacity. Currently, he serves as a board member for the esteemed tinyML Foundation and extends his advisory expertise to several cutting-edge high-tech startups.