The ACM SIGMM Multimodal Reasoning Workshop was held on 8–9 November 2025 at Indian Institute of Technology Patna (IIT Patna) in Hybrid mode. Organised by Dr. Sriparna Saha, faculty member of the Department of Computer Science and Engineering, IIT Patna and supported by ACM SIGMM, the two-day event brought together researchers, students, and practitioners to discuss the foundations, methods, and applications of multimodal reasoning and generative intelligence. The workshop registered 108 participants and featured invited talks, tutorials, and hands-on sessions by national and international experts. Sessions covered topics ranging from trustworthy AI, LLM fine-tuning, temporal and multimodal reasoning, to knowledge-grounded visual question answering and healthcare applications.
The ACM Multimedia Conference 2025, held in Dublin, Ireland from October 27 to October 31, 2025, continued its tradition as a premier international forum for researchers, practitioners, and industry experts in the field of multimedia. This year's conference marked an exciting return to Europe, bringing the community together in a city renowned for its rich cultural heritage, innovation-driven ecosystem, and welcoming atmosphere. ACM MM 2025 provided a dynamic platform for presenting state-of-the-art research, discussing emerging trends, and fostering collaboration across diverse areas of multimedia computing.
Multimedia research is framed through algorithms, datasets, and systems, but at its heart lies content that is deeply human. Few forms of content illustrate this better than classical music. Long before music becomes data to be recorded, generated, searched, or retrieved, it is imagined by composers and brought to life by performers. At ACM Multimedia 2025 in Dublin, this human origin of multimedia took centre stage in a unique social event that bridged classical music and multimedia content analysis. This event was the fourth supported by ACM SIGMM in the framework of Music Meets Science program (at CBMI'2022, CBMI'2023, CBMI'2024).
The Benchmarking Initiative for Multimedia Evaluation (MediaEval) organizes interesting and engaging tasks related to multimedia data. MediaEval is proud to be supported by SIGMM. Tasks involve analyzing and exploring multimedia collections, as well as accessing the information that they contain. MediaEval emphasizes challenges that have a human or social aspect in order to support our goal of making multimedia a positive force in society. Participants in MediaEval are encouraged to submit effective, but also creative solutions to MediaEval tasks: We carry out quantitative evaluation of the submissions, but also go beyond the scores in order to obtain insight into the tasks, data, metrics.
[Multimedia systems are evolving towards AI-driven, adaptive services, leading to a natural convergence of QoE and machine intelligence. In this context, machine intelligence can empower QoE through learning-based, context-aware, and semantic-driven modelling and optimization. At the same time, QoE can guide machine intelligence by providing a human-centred objective for AI system design and evaluation; see also [11]. Looking beyond human perception, toward agent-centric and hybrid QoE, future multimedia systems increasingly require unified experience objectives that support human-AI co-experience. QoMEX'26 in Cardiff stands as a major milestone highlighting the convergence of Quality of Multimedia Experience with Machine Intelligence. This column reflects on this evolution and outlines the key challenges ahead.
