Real-Time Personalized AI
The document, titled "A Research Protocol for Real-Time Idle AI Connection with Hyper-Personalization," outlines a research study focused on the development and evaluation of personalized real-time idle artificial intelligence systems. Authored by Kalle Björklund, the protocol emphasizes a commitment to scientific principles, objectivity, and data-driven conclusions. It details the research methodology, which combines software development principles, user-centered design, and quantitative analysis to explore the design, implementation, and evaluation of AI systems that utilize memory and adapt to individual user interactions. The research aims to contribute to a deeper understanding of personalized AI and its potential applications.
Institutions
- RISE Research Institutes of Sweden (SE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-28
- DOI
- https://doi.org/10.5281/zenodo.15101444
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00