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Research Paper | Information Technology | United States of America | Volume 13 Issue 2, February 2024 | Rating: 5.1 / 10
Enhancing Mobile Application Development with Artificial Intelligence: Techniques and Implications
Stanislav Fedorov
Abstract: In mobile app development, artificial intelligence technologies play a crucial role. Both mobile apps and artificial intelligence are extremely popular sectors that have experienced enormous growth in a relatively short time and are expected to grow even more in the near future. The mobile app sector is expected to reach $755 billion by 2027. The AI sector has even more positive projections: $1.8 trillion by 2030. While mobile apps have been around for about a decade, AI has just begun its rise and is projected to earn trillions in less than a decade. ChatGPT, Dall - E and Open AI creators are considered the most funded machine learning companies on the planet, with over $1 billion in funding in 2023. It is no surprise that both of these markets will become intertwined over time, especially considering how efficient they can be together, with AI improving the mobile app experience in different ways. In mobile technology?s early stages, devices faced limitations in processing power and capacity. Developers worked in a relatively constrained environment, reflected in the early mobile apps? simplicity: calculators, calendars, and messaging tools that offered basic functionality to users. Additionally, the development during this period was labor - intensive, requiring extensive coding and manual testing to ensure compatibility between different mobile platforms. The mobile devices? limited nature required a more hands - on approach to providing application functionality. Today, machine learning and artificial intelligence (AI) are revolutionizing mobile app development. Thanks to machine learning, apps can now recognize speech, photos and gestures, and translate voices with high accuracy. In this regard, the study examines the possibilities of artificial intelligence in developing mobile applications. The article discusses AI - based applications? tools, the possibility of using text recognition, voice recognition, recorded photo - video images, people in real time, their gestures, mood and speech intonation, expanding potentially useful and interesting mobile applications, AI advantages in mobile application development. The work?s methodological foundations include the general scientific principles of integrity and specificity. The general scientific methods include analysis, synthesis, induction and deduction.
Keywords: mobile applications, artificial intelligence, recognition technology, machine learning, AI integration, mobile development innovations, intelligent mobile systems, AI - driven development, mobile user experience, smart application development
Edition: Volume 13 Issue 2, February 2024,
Pages: 1776 - 1779