Overview
The DeepModAI 2025 workshop is set to take place on November 24, 2025, in Okinawa, Japan, as part of the ICONIP 2025 conference. This event aims to unite researchers and industry experts to tackle significant challenges in the field of deep multimodal learning, emphasizing the need for advanced techniques that can effectively learn from diverse data sources.
Background & Relevance
Multimodal learning is a crucial area within artificial intelligence and machine learning, where systems are designed to process and integrate information from multiple modalities, such as text, images, and audio. This approach is vital for developing more robust AI systems capable of understanding complex real-world scenarios. The workshop will explore innovative methodologies that transcend traditional unimodal approaches, making it a significant event for those interested in the future of AI applications across various domains.
Key Details
- Submission Deadline: September 30, 2025
- Workshop Date: November 24, 2025
- Location: Okinawa, Japan
- Topics:
- Multi-view and multi-modal architecture design
- Cross-modal alignment and translation
- Attention mechanisms for dynamic modality fusion
- Diversity-aware and ensemble learning methods
- Explainable and collaborative multimodal frameworks
- Adaptability to dynamic, incomplete, or context-dependent data
- Scalable deployment and computational efficiency
- Submission Types: Extended abstracts (2 pages) or regular papers (any length). Regular papers should be submitted to a preprint repository (e.g., arXiv) before workshop submission.
- Presentation Format: Accepted contributions will be presented orally or as posters and published on the workshop website.
- Website: DeepModAI 2025
Eligibility & Participation
The workshop is open to researchers, practitioners, and students interested in the advancements of deep learning techniques for multimodal data. It targets those who are working on or have an interest in the integration of various data types and the development of innovative AI solutions.
Submission or Application Guidelines
- Prepare your submission as an extended abstract (2 pages) or a regular paper (any length).
- For regular papers, submit to a preprint repository (e.g., arXiv) prior to the workshop submission.
- Submit your work via the workshop’s official website by the deadline.
Additional Context / Real-World Relevance
The integration of multimodal data is increasingly important in various fields, including healthcare, robotics, and environmental science. By addressing the challenges associated with deep learning in these contexts, the workshop will contribute to the development of more effective and adaptable AI systems. The discussions and presentations at DeepModAI 2025 will help shape future research directions and applications in this dynamic area.
Conclusion
DeepModAI 2025 presents an excellent opportunity for researchers and practitioners to share their work, gain valuable feedback, and engage with leading experts in the field. Interested individuals are encouraged to submit their contributions and participate in this important workshop to advance the understanding and application of multimodal deep learning.
Category: CFP & Deadlines
Tags: multimodal ai, deep learning, workshop, ICONIP, health monitoring, robotics, environmental modeling, explainable ai
