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Applying Artificial Intelligence in Fab Technology Co-Optimization​​

The common approach to optimize a fabrication process involves process and fab engineers creating and setting up Design of Experiments (DoEs) using a trial-and-error approach. This approach often leads to costly iterations since wafer fabrication is both expensive and time-consuming. Typically, it can take weeks to months of experimentation, depending on what process parameters are… Read More »Applying Artificial Intelligence in Fab Technology Co-Optimization​​

MLCAD Symposium 2024

Snowbird 9385 Snowbird Center Trail, Sandy, UT, United States

The symposium focuses on Machine Learning (ML) for all aspects of CAD and electronic system design. The symposium is sponsored by both the ACM Special Interest Group on Design Automation (SIGDA) and the IEEE Council on Electronic Design Automation (CEDA). The symposium program will have keynote and invited speakers in addition to technical presentations. MLCAD… Read More »MLCAD Symposium 2024