Design of Equipment Incorporating Artificial Intelligence and Neural Network Elements

The design features of laser and optoelectronic systems and multi-level instrumentation are considered in the context of integrating artificial intelligence and artificial neural network elements into their control and monitoring modules, including the prospective transition to quantum computing technologies and their equivalents.

A complex set of fundamentally new and previously uncommon conditions and requirements across all stages of design, production preparation, and integrated manufacturing - aimed at enabling the development of so-called smart production systems, machines, transport, technologies, and intelligent workplaces across industry, medicine, science, education, and agriculture - necessitates a reassessment of established approaches and the search for new organizational and technical solutions to meet emerging challenges.

The paper also addresses the forecasting of development directions and conceptual frameworks for the formation of so-called smart instruments and devices within the technological domain of specialized integrative systems, with particular emphasis on medical devices and advanced disposable instrumentation based on laser diodes and modern fiber-optic technologies.

Strategic importance is attributed to the high-speed identification of smart instruments and devices in real time, particularly under conditions where artificial intelligence and neural network elements are employed within analytical blocks of control and monitoring systems.

Additionally, the reliability of subsystem-level core technical solutions in optical instruments and devices is examined.