Evaluating Electronic Component Testing with AI-Based Test Augmentation
Date and Time: June 26 - 1:00 pm
Charles Polidoro [PCX]
Charlie Polidoro is the Executive Vice President of Program Management at PCX with over 30 years of experience in the field of electronic components. Charlie has experience in the fields of designing, programming, and building electronic component prototypes. Currently, he is offering new, proprietary technologies, software, hardware, and analytical testing methodologies in order to support a full range of electronic component test and programming services.
In recent years, Charlie has been specializing in LIDAR technologies working alongside the executive teams of various Fortune 1,000 companies in order to provide Lidar-derived products that are made available in multiple formats, including iterative data driven decisions applications with AI technologies while using open-source tools such as Python when feasible. Charlie enjoys contributing to the exciting technological advances that happen every day. Charlie has bachelor’s degrees in Electrical and Computer Engineering, an MBA in Finance, and several certificates in software development. In his free time, Charlie likes to hike, golf, and stay involved with various charities.
Presentation Abstract
This paper evaluates the ability of Artificial Intelligence (AI) to augment todays’ proven methodologies for testing electronic components. With a combined experience of more than 10,000 sources of activity (e.g., actual tests, evaluations, collaborative projects, data sheets, user manuals, and custom test equipment), AI technology has the ability to be integrated and adopted to in order to improve electronic component testing. Due to the customization from chip to chip, there are a range of risks that need to be addressed before implementing an AI strategy for testing. As an outlook, AI enabled solutions may improve existing manual test methods and offer new test services. Further, advice is provided for a new regulatory framework to match the changing pace of new technologies such as AI.
Dr. Diganta Das
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Karlie Severinson
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