This track focuses on the latest developments in autonomous computing technologies. Researchers are invited to present their findings on innovative algorithms and architectures that enhance autonomy in computing systems.

This session will explore the integration of intelligent systems with machine learning techniques. Contributions that demonstrate novel applications and improvements in decision-making processes are highly encouraged.

This track aims to showcase advancements in robotics and their applications in engineering fields. Papers discussing the design, control, and deployment of robotic systems in various environments are welcome.

This session will delve into the role of artificial intelligence in enhancing engineering systems. Contributions that illustrate successful AI integration for improved performance and efficiency are sought.

This track emphasizes the development of self-adaptive systems that can adjust to changing environments and requirements. Researchers are invited to present methodologies and case studies demonstrating self-adaptation in various domains.

This session focuses on the challenges and solutions in distributed computing frameworks. Papers discussing novel approaches to enhance scalability, reliability, and performance in distributed systems are encouraged.