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Development of digital technologies incorporating elements of artificial intelligence and artificial neural networks

Authors

Dmytro Lysenko

Rubric:Technical sciences in general
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The article examines a number of fundamental factors that significantly influence the generation, development, evaluation, and commercial implementation of innovative technical solutions under the conditions of rapid digital transformation. Particular attention is devoted to the role of modern multidisciplinary digital technologies incorporating elements of artificial intelligence and artificial neural networks as instruments for enhancing inventive activity, innovation analysis, and the identification of effective technical solutions.

The study considers the distinction between practically applicable technical solutions capable of solving real technological and engineering problems and formal or speculative concepts that possess limited practical value despite their apparent novelty. The influence of technical stereotypes, technological paradigms, and associated psychological barriers on the formation and implementation of innovative ideas is analyzed. Special emphasis is placed on the mechanisms through which such barriers hinder the resolution of technical and technological contradictions and limit the emergence of non-obvious and highly effective engineering solutions.

The article further examines the impact of contemporary information technologies on the innovation process, including the substantial reduction of development cycles, increasing technological complexity of new products, rising costs of prototype creation and testing, and the growing importance of market-oriented innovation strategies. In this context, the necessity for inventors and developers to possess multidisciplinary competencies extending beyond traditional engineering expertise is highlighted.

Particular attention is given to the integration of foresight methodologies, innovation-oriented analytical approaches, market demand assessment, and consumer behavior analysis with modern artificial intelligence technologies. The author emphasizes the importance of combining technical creativity, predictive capabilities, and commercial awareness in order to maximize the probability of successful implementation and commercialization of innovative products.

The article proposes several key directions that, under current technological and economic conditions, exert a decisive influence on the future development and market success of new technical ideas and innovative products. These directions are presented as practical guidelines for improving the effectiveness of innovation management and increasing the commercial viability of advanced technological solutions.

Keywords

Overcoming technical technological and design stereotypes
Elements of artificial intelligence
Elements of artificial neural networks
Innovative products
Innovation analysis
Creative activity
Technical and technological stereotypes
Specific local domain
Digital technologies
The most effective and non-obvious technical solutions
Combined highly effective and non-obvious technical solutions
Foresight techniques
The potential for developing technical solutions with auxiliary innovative functionalities.

Authors

Dmytro Lysenko

Rubric:Technical sciences in general
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