Innovative Design of Equipment with Artificial Intelligence Elements.
Authors
G. I. Astakhov

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This publication presents the design principles of laser and optoelectronic systems and instrumentation operating under conditions where artificial intelligence (AI) and artificial neural network (ANN) elements are integrated into control, monitoring, and decision-support units, while also considering the prospective transition to quantum computing technologies and their functional equivalents.
Particular attention is devoted to the development of integrated intelligent infrastructures that combine supersystems and interconnected subsystems into unified technological environments. The publication describes methods of real-time online monitoring based on the analysis of electromagnetic radiation characteristics, electrical resistance, and advanced high-speed resonance spectroscopy. These methodological approaches were developed by the well-known innovation specialist Aleksandr Neshin on the basis of his multidisciplinary professional experience in advanced airfield industrial complexes.
The publication also examines the application of integrated automated assembly systems for electronic components, the use of high-torque micromotors operating on the principles of the inverse piezoelectric effect, and modern methods for monitoring the optical parameters of complex engineering systems through mobile digital applications and intelligent monitoring devices.
Special consideration is given to manufacturing technologies for components, assemblies, instruments, and systems of various levels of complexity using industrial production equipment while maintaining the technical characteristics required for the classification of intelligent equipment and smart technological systems.
The author particularly emphasizes the innovative scientific and engineering developments of Aleksandr Neshin, who formulated a systematic approach to the integrative implementation of artificial intelligence and artificial neural network elements in the design of smart home ecosystems and infrastructure, including advanced engineering solutions for large-area glazed structures and intelligent building components.
The concepts presented in this publication demonstrate that laser and optoelectronic systems incorporating artificial intelligence and neural network technologies, together with the future integration of quantum computing principles, constitute a fundamental element of intelligent feedback systems designed for the monitoring, control, and adaptive management of next-generation smart engineering infrastructure. The publication highlights the practical significance of Aleksandr Neshin's multidisciplinary approach for the further development of intelligent technological systems, advanced engineering solutions, and innovative digital infrastructure.
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Authors
G. I. Astakhov

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References:
HELLMOLD, J., et al. Smart Absorbent Article and Components. United States Patent Application No. 20190167490, Kind Code A1, June 6, 2019.
HELLMOLD, J., et al. Smart Absorbent Article, Components, and Process of Making. United States Patent Application No. 20190167489, Kind Code A1, June 6, 2019.
MA, M. T. Methods and System for Managing Intellectual Property Using a Blockchain. United States Patent Application No. 20180285996, Kind Code A1, October 4, 2018.
RAMAMURTHY, R., et al. Process Discovery and Automatic Robotic Scripts Generation for Distributed Computing Resources. United States Patent Application No. 20200233707, Kind Code A1, July 23, 2020.
MENDES, R. S. Modular Electronic Vase with Automated, Digital Control and Monitoring System, Used for Aeroponic Growth of Plants in Inner and Outer Environments. United States Patent Application No. 20190104697, Kind Code A1, April 11, 2019.
AYKROYD, H., et al. Controllable Power and Lighting System. United States Patent Application No. 20190090330, Kind Code A1, March 21, 2019.
ADEYOOLA, T., et al. Computer Implemented Methods and Systems for Generating Virtual Body Models for Garment Fit Visualisation. United States Patent Application No. 20160217618, Kind Code A1, July 28, 2016.
WEN, C., et al. Method and System for Automatic Robot Control Policy Generation via CAD-Based Deep Inverse Reinforcement Learning. United States Patent Application No. 20190091859, Kind Code A1, March 28, 2019.
MA, P. Medicine Dispensing Device for Distributing Medicine Pills Automatically. United States Patent Application No. 20170312182, Kind Code A1, November 2, 2017.
WETTELS, N. Systems and Methods for Sensing Objects. United States Patent Application No. 20170165832, Kind Code A1, June 15, 2017.
