element14 Community announces two upcoming webinars on AI-driven maintenance and advanced signal analysis
element14, an Avnet Community, has announced two upcoming technical webinars designed to support engineers and industry professionals in advancing their knowledge of artificial intelligence for predictive maintenance and techniques for real-time signal analysis.
The first webinar, hosted in collaboration with Analog Devices, will take place on 4 June from 3:00 PM to 4:00 PM GMT. Titled “AI-Enabled Predictive Maintenance with Voyager4,” the webinar will explore how AI is changing condition-based monitoring and enabling new insights, provide a demonstration of anomaly detection at the edge using AI and cover ultra-low power reference designs for long battery life.
The second webinar, delivered in partnership with RIGOL Technologies, will be held on 26 June from 4:00 PM to 5:00 PM GMT. Titled “Analyzing Jitter and Eye Diagrams for Enhanced Signal Integrity,” the session will cover a primer on understanding eye diagrams, how to identify and analyze jitter and jitter sources, how to use tools like Time Interval Error (TIE) trends to avoid timing errors and using histograms and eye diagrams to pinpoint and dress the root causes of signal degradation.
Andreea Teodorescu, Global Director of Product Marketing & element14 Community stated, “We’re excited to provide engineers with practical insights from industry leaders and the opportunity to explore cutting-edge applications of AI and signal analysis that are driving the future of electronics design and system reliability.”
Both webinars are free to attend and open to participants globally. These sessions are ideal for engineers, developers and technical professionals looking to stay current with industry advancements and practical tools for system performance and reliability.
For more information and to register for the webinars, please visit https://community.element14.com/learn/events/.