Multidisciplinary Digital Technologies with Elements of Artificial Intelligence.

This article examines the application of modern intelligent multidisciplinary digital technologies incorporating elements of artificial intelligence and artificial neural networks in the development of innovative engineering solutions based on the principles of the Theory of Inventive Problem Solving (TRIZ) and the Algorithm of Inventive Problem Solving (ARIZ). Particular attention is devoted to the analysis of psychological barriers, established engineering stereotypes, and the technological and commercial factors influencing the transformation of inventive concepts into competitive market-oriented products. The article substantiates the necessity of integrating systematic inventive methodologies with intelligent digital technologies in response to the continuous reduction of innovation cycles, increasing complexity of engineering systems, and rising costs of prototype development and experimental validation. The proposed approach emphasizes the identification and implementation of auxiliary non-obvious innovative functions capable of enhancing the commercial value, consumer attractiveness, and technological competitiveness of new products. It is concluded that the comprehensive integration of TRIZ, ARIZ, artificial intelligence, artificial neural networks, and multidisciplinary digital technologies significantly improves the efficiency of engineering innovation, supports informed decision-making, overcomes psychological barriers, and increases the probability of successful commercialization of advanced technical solutions.