AI and the Future of OS: User Modeling and Semantic Frameworks

This report discusses the future of operating systems (OS) and the integration of Artificial Intelligence (AI). It explores the use of semantic frameworks to enhance OS capabilities, such as application integration and event planning, highlighting the importance of user intention and language in these frameworks. The report emphasizes the role of user modeling, including customized OS options and the use of APIs like Google Awareness, to understand, analyze, and respond to user data. It also examines the application of AI grammar, using 'WH' operators to facilitate user queries and interactions, along with the 'Why' and 'Why Not' operators for refining AI responses. The report concludes by summarizing how these technological combinations contribute to creating a more user-friendly and interactive OS that anticipates user needs and delivers a next-generation OS.

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AI and future of OS
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AI and the future of OS
The semantic framework for the first AI-Operating System is an interesting area to
discuss. The interaction of the application of the Operation system has aided to the enhancement
in the new age of technology like the Uber app can perform a call as Uber API is added
manually. The OS can also plan events for the user so, the apps satisfy the intension of the user
and those intensions are indicated by the language of the framework (Bura, 2016). The semantic
frameworks are needed to avoid several pitfalls like when Google Now does not acknowledge
objects it is required to add a card related to it in the operating system. That operating system has
some pre-existing primitives which are later used for expressing the new objects as well as
exploring the language for communication of the applications.
The modelling of the Operating System with the data of the user is an interesting area in
the world of technology. The customised operating system is the new trend in which preferences
of colour and scripts are available. Also, the operating system is utilising the data of the user for
understanding, analysing, classifying, relating and then reciprocating those data accordingly
(Chen et al., 2014). A set of APIs makes the user modelling that are presented to the developers;
one such example of user modelling is Google Awareness. The APIs enables feedback to the
activities taking place as the operating system gives recommendations and explain that
recommendation (Del Sole, 2017). This helps the user in accepting or rejecting the criteria.
Hence, these recommendations can be useful in the future for building queries and making the
Operating system more relevant according to the needs of the user. Therefore, as a whole, the
uniqueness of the user’s need can be taken into account, and the operating system can track the
current activities of the user.
The use of Artificial Intelligence grammar in the Operating System means using a set of

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“WH” operators. The data, operators such as When, How, What, and Where. These grammars
are used by the users for several searches on Google like to search any query we write “what”
plus the query we want to find out. “Where” and “When” can be solved by the introduction of
calendars and portable devices. “How” is answered by withdrawing information and using that
information to make plans. The above operators work by the black box, which involves the user
to acknowledge AI’s result (Nilsson, 2014). Whenever a query fails the operator “Why” comes
to issue any command to the AI and the “Why Not” operator comes, and the user explains itself
as well as the query that has failed earlier becomes a training data. The grammar of Artificial
Intelligence needs to be mapped to the NLP system in the form of a system of contextual card,
and the “why” operator unlocks the interactions of AI.
It is reflected from the article that using several combinations of technology like the use
of semantic frameworks to add values to the AI-Operating system. It has added features that ease
the normal life, such as calling facility through applications, planning of events etc. The
introduction of operating systems utilizing the data of user has brought revolution in the 21st
century. The customization has made the operating system more user-friendly and the feedbacks
from the APIs will help in bringing updated Operating System in the near future. The Artificial
Intelligence grammar will help with communication of the user with the Operating system more.
This can deliver a next-generation interactive Operation System which can understand the needs
of the user using their data only and can help them in fulfilling their needs.

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Reference
Bura, S. (2016). AI and the future of operating systems. Information Services & Use, 36(1-2),
127–131.
Chen, L.L., Mayrhofer, R., Steinbauer, M., Castillejo, E., Almeida, A. and López-de-Ipiña, D.,
2014. Modelling users, context and devices for adaptive user interface systems.
International Journal of Pervasive Computing and Communications.
Del Sole, A., 2017. Microsoft Computer Vision APIs Distilled: Getting Started with Cognitive
Services. Apress.
Nilsson, N.J., 2014. Principles of artificial intelligence. Morgan Kaufmann.