The webinar originally scheduled to take place on April 15, 2026 has unfortunately been postponed at short notice and will not be held as planned. A new date in May is currently being arranged and will be announced shortly. Once confirmed, registration will again be available. We appreciate your understanding and look forward to welcoming you in May.
Active Learning is a powerful machine learning approach that reduces training data requirements while improving model performance. This webinar introduces core Active Learning principles and state-of-the-art strategies for image and time-series data. Through real-world use cases such as wood defect detection and tool wear monitoring, learn how targeted data labeling cuts annotation effort, lowers costs, and accelerates model development.
This year's SMACD conference will take place in Dresden from June 29 to July 2, 2026. It brings together international experts from circuit synthesis, modeling, simulation, EDA, and integrated circuits. Present your research, network with professionals, and learn about the latest trends in analog & mixed-signal design, RF systems, and simulation technologies.