Overview
The 5th IEEE Workshop on Pervasive and Resource-Constrained Artificial Intelligence (PeRConAI) is set to take place from March 16 to 20, 2026, in Pisa, Italy, alongside the IEEE PerCom conference. This workshop aims to promote innovative ideas and research in the field of machine learning, particularly focusing on its applications in pervasive and resource-constrained environments. By bringing together researchers and practitioners, the workshop seeks to enhance collaboration and knowledge exchange between these two vital communities.
Background & Relevance
Pervasive computing refers to the integration of computation into everyday objects and environments, allowing for seamless interaction and data collection. As the demand for intelligent systems grows, the need for effective machine learning techniques that can operate under resource constraints becomes increasingly important. This workshop addresses the challenges and opportunities at the intersection of these fields, emphasizing the significance of developing efficient algorithms and models that can function in real-world scenarios where resources may be limited.
Key Details
- Event: 5th IEEE Workshop on Pervasive and Resource-Constrained AI (PeRConAI)
- Dates: March 16-20, 2026
- Location: Pisa, Italy
- Website: PeRConAI Website
- Submission Link: Submission Portal
- Paper Format: IEEE LaTeX or Microsoft Word templates, 6 pages (10pt font, 2-column format)
Eligibility & Participation
The workshop invites contributions from researchers, practitioners, and students who are working on machine learning applications in pervasive computing environments. It is particularly relevant for those focusing on resource-constrained devices and systems.
Submission or Application Guidelines
To submit a paper, authors must:
1. Prepare their manuscript according to the IEEE formatting guidelines.
2. Ensure the paper is no longer than 6 pages, including all figures and tables.
3. Submit the paper through the provided link before the deadline.
Additional Context / Real-World Relevance
The integration of machine learning in pervasive computing is crucial for advancing applications in various domains, including healthcare, anomaly detection, and natural language processing. As devices become more interconnected, the ability to efficiently process and analyze data in real-time is essential for developing intelligent systems that can adapt to user needs and environmental changes. This workshop will highlight cutting-edge research and practical applications, fostering discussions that could lead to significant advancements in the field.
Conclusion
The PeRConAI workshop represents a valuable opportunity for those interested in the intersection of machine learning and pervasive computing. Researchers are encouraged to submit their work, share their insights, and engage with the community to drive innovation in this exciting area. Explore the workshop’s website for more information and stay updated on the latest developments.
Category: CFP & Deadlines
Tags: pervasive computing, resource-constrained ai, machine learning, federated learning, health applications, anomaly detection, natural language processing, edge computing
