MODUL Technology is excited to announce that its participation in the TRANSMIXR project has begun,  backed by EU Horizon Europe funding of 9 million euros.

With the maturity of eXtended Reality (XR) and Artificial Intelligence (AI) technologies, a unique window of opportunity for the European Creative and Cultural Sector (CCS) exists to reimagine digital co-creation, interaction and engagement possibilities. The TRANSMIXR platform will provide (i) a distributed XR Creation Environment that supports remote collaboration practices, and (ii) an XR Media Experience Environment for the delivery and consumption of evocative and immersive media experiences. Ground-breaking AI techniques for the understanding and processing of complex media content will enable the reuse of heterogeneous assets across immersive content delivery platforms. Using the Living Labs methodology, TRANSMIXR will develop and evaluate four pilots that bring the vision of future media experiences to life in four important CCS domains: news media, broadcasting, performing arts, and cultural heritage.

TRANSMIXR Project Coordinator, Dr. Niall Murray of TUS and investigator in the SFI Adapt Centre said “TRANSMIXR is a very exciting project that will create a suite of user centric technologies to support the creation, consumption and understanding of new media experiences in distributed, collaborative and immersive ways. Underpinned by the convergence of AI and XR, the design of these new systems will be informed by and be evaluated with real end users. A key strength of the TRANSMIXR consortium is its interdisciplinary nature, bringing complimentary technical, methodological and domain expertise together to create impactful solutions for the creative and culture sectors.”

MODUL Technology CTO and project lead, Dr. Lyndon Nixon, added “TRANSMIXR will benefit immediately from the multilingual Web data collection and annotation pipeline of MODUL Technology, while we look forward to the opportunity to further innovate through AI in terms of content understanding and semantic search across heterogeneous, multimodal data collections.”

Website: https://www.transmixr.eu/