AI-Based Pervasive Application Services

Dear Colleagues,

It is well known that generative AI has revolutionized our expectations of computer-generated results in recent years, which has led to various types of simulated multimodal data, such as generative images, generative sounds, and even generative videos. However, while these technologies are rapidly advancing and evolving, significant barriers remain to their widespread application in everyday services for general households. Practical application services require explicit purposes and needs while considering computational resources, cost, user privacy, security, deployment, maintenance, and even ethical, moral, and cultural considerations.

It is a significant challenge to effectively match the continuous stream of advanced technologies with people's real-world needs to create widely adoptable application services. Additionally, for existing application services, there are significant challenges in effectively integrating emerging technologies to achieve upgrades and transformations. Evaluating and efficiently analyzing the next-generation application services' feasibility, appropriateness, utility, accuracy, and scalability are also critical issues.

As AI technology has developed, our cognition and daily lives need to be continually improved and transformed. As researchers in the relevant fields, we carry a responsibility and mission that require deep contemplation.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

- Pervasive application services;

- AI with multimodal data;

- Generative AI for general households;

- Application services for general households;

- AI upgrades and transformations;

- Evaluating and analyzing with AI;

- Next-generation application services.

We look forward to receiving your contributions.

Dr. Sinan Chen
Dr. Jialong Li
Guest Editors

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• practical technologies by XAI
• high capability of humanity with AIGC
• application services affordable for everyone
• upgrades and transformations
• personalized or easy-to-deploy
• DX real-world evaluation and analysis
• good usability and extendability