Abstract
It is crucial to investigate pattern recognition in the quickly changing field of artificial intelligence. It is becoming more and more important to comprehend the nuances of AI-supported pattern recognition as we move through a time of unparalleled technological growth. This study undertakes a thorough investigation of the topic, exploring the fundamental elements that underpin AI-supported pattern recognition, looking into its various application areas, and casting a glance ahead to show upcoming developments. The ubiquitous influence of pattern recognition across multiple areas highlights the significance of AI in the current technological environment. The ability of AI systems to recognize and understand patterns in data is revolutionary in a variety of fields. The complexities of pattern recognition are becoming a focus for scholars, practitioners, and technologists alike as we approach a new era where AI is incorporated into our daily lives. In my research, I put forward three hypotheses that I am investigating during my research, and I am looking for the possible answers. H1: Artificial intelligence-supported pattern recognition will keep developing, and allowing machines to mimic and even exceed human abilities in seeing and processing complicated data. H2: Artificial intelligence will increasingly integrate with and improve a variety of industries as it develops. H3: The European Union has committed significant financial resources to support the development of AI in recognition of the technology's strategic importance. The main objective of this research is to get a deeper understanding of AI-supported pattern recognition by dissecting its complex components and illuminating its significant consequences for both the present and the future.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call