Modeling and Machine Learning Laboratory
Systems Engineering constitutes a methodical and multidisciplinary approach to managing complex projects, encompassing all stages of the system's life cycle. Contemporary solutions in systems engineering are frequently integrated with algorithms and methodologies derived from artificial intelligence. Enhancing systems engineering methodologies through the incorporation of AI algorithms serves to advance design, analysis, and decision-making processes. The integration of modern AI algorithms with systems engineering methodology facilitates the resolution of challenges in vision systems, biomedical systems, robotics, autonomous vehicles, and other fields.
Sensors for measuring physical and medical quantities from Shimmer.
Systems Engineering constitutes a methodical and multidisciplinary approach to managing complex projects, encompassing all stages of the system's life cycle. Contemporary solutions in systems engineering are frequently integrated with algorithms and methodologies derived from artificial intelligence. Enhancing systems engineering methodologies through the incorporation of AI algorithms serves to advance design, analysis, and decision-making processes. The integration of modern AI algorithms with systems engineering methodology facilitates the resolution of challenges in vision systems, biomedical systems, robotics, autonomous vehicles, and other fields.