Data Analysis & AI Development Workflow for Semiconductor Production Equipment
Overview
By leveraging AI and data analysis, semiconductor production equipment manufacturers can uncover deeper insights, enhance decision-making, and drive innovation. Attend this webinar to see the workflow of data-driven solutions using AI techniques, focusing on estimating key experimental parameters and efficiently searching for optimal manufacturing conditions.
In this session, we will explore MATLAB capabilities that support the entire process from data analysis to system implementation. Additionally, we will discuss applications for anomaly detection and predictive maintenance, targeting sensor data (including time series data and images) as AI applications.
Highlights
- Machine learning and deep learning solutions for time series and signals
- Manufacturing process analytics and optimization using AI workflows
- Anomaly detection for Predictive maintenance applications
About the Presenter
Garima Sharma
Application Engineer, MathWorks
As an application engineer, Garima consults with customers to help them incorporate their defined needs to create tailor-made solutions to enhance their workflow. Her primary competencies are biomedical signal processing, traditional machine learning, and modern deep learning algorithms. She has experience in working with different signal modalities such as audio, image, and oscillation signals. Before joining MathWorks, Garima was pursuing her Doctoral degree in electrical and computer engineering from Toronto Metropolitan University.
