Dear Rashid Riad Al Haj Ali,

the idea of ​​improving computer-aided electromechanics with the help of AI is conceptually simple.

Intelligent digital models can be developed for computer-aided electromechanical system components. These digital models must be set up as Digital Twins of electromechanical system components.

Several images in my publication illustrate how this can be done:

Digital Twins in IoT

https://www.researchgate.net/publication/366167747_Digital_Twins_in_IoT

See also:

Intelligent IoT - Replicating human cognition in the Internet of Things

https://www.researchgate.net/publication/380376116_Intelligent_IoT_-_Replicating_human_cognition_in_the_Internet_of_Things

Best regards and much success

Anatol Badach

Integrating electro-mechanical systems with advanced computing power is set to play a pivotal role in the future of artificial intelligence (AI). Electro-mechanical systems, such as robotics, combine electrical and mechanical components to perform physical tasks, which, when enhanced with AI, can evolve to carry out complex functions autonomously. The significant computational power available today, driven by advances in high-performance computing, neural networks, and emerging technologies like quantum computing, provides the foundation for processing large datasets and executing complex algorithms essential for AI. This convergence allows machines to perform physical tasks and learn, adapt, and make decisions in real-time. Emerging technologies like edge computing and the Internet of Things (IoT) further enhance this integration by enabling real-time data processing and decision-making capabilities in electro-mechanical systems, thus reducing latency and improving autonomy. The result is a future where AI-powered machines, such as autonomous vehicles, smart factories, and advanced healthcare robots, operate with enhanced efficiency, precision, and intelligence. This fusion of electro-mechanical systems with AI marks a significant technological step, potentially revolutionizing various industries by creating intelligent systems that interact seamlessly with humans and their environment.

For example, HVAC powered by AI. This means the electromechanical decision taken by AI system not by the mechanical or the machine. How the machine will learn when to cool and when to stop cooling. This touches the feelings of hot or cold. So, Machine learning here based on human experience. This will play great role in saving power