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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 12, ISSUE 12, DECEMBER 2023

iPhone workspace in Artificial Intelligence: A Company Analysis

Kamala S, Dr.A. Jayanthiladevi

DOI: 10.17148/IJARCCE.2023.121220
Abstract - Apple's most recent performance seems to have chosen a more modest but astute approach, offering several new features and improvements that are powered by artificial intelligence. Customers will have exceptional experiences as a result of the integration of machine learning and artificial intelligence into Apple products, allowing them to achieve things they never imagined they were capable of. To enhance user experiences, secure the privacy of Apple clients and staff, and integrate hardware and software across all of the company's products, engineers and researchers at Apple are working together. The world's best storage, processing, and analytics tools are being developed in this way, and they will allow them to handle the most challenging problems in artificial intelligence and machine learning. In this article, artificial intelligence methods for the iPhone workplace are proposed.

Keywords: iPhone, artificial intelligence, workspace, user experience, analytics tools Cite: Kamala S, Dr.A. Jayanthiladevi, "iPhone workspace in Artificial Intelligence: A Company Analysis", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 12, no. 12, pp. 127-131, 2023, Crossref https://doi.org/10.17148/IJARCCE.2023.121220.

How to Cite:

[1] Kamala S, Dr.A. Jayanthiladevi, “iPhone workspace in Artificial Intelligence: A Company Analysis,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2023.121220