On November 29th, the Distributed & Interactive Systems (DIS) group was invited to participate at the Immersive Tech Week 2023 (www.immersivetechweek.co), where innovation and inspiration converge in the dynamic world of eXtended Reality (XR) technologies.
At Immersive Tech Week 2023, Jiahuan Pei, postdoctoral research from CWI working in the VoxReality project, was invited to share her expertise in a special discussion panel titled "Maximizing Efficiency in NLP Model Training and XR Environments: Real-Time Language Processing for Seamless Interactions". The panel focused on critical aspects of Natural Language Processing (NLP) within the context of extended reality (XR).
NLP has transformed digital interactions, but the resource-intensive nature of NLP models raises concerns about environmental impact, energy consumption, and scalability. The interactions in XR environments also start to heavily rely on NLP tools for applications such as virtual meetings, training simulations, and immersive experiences, hence requiring efficient, optimised and seamless integration of language models, where latency is heavily reduced and user experience is maximised. The seamless interactions also require real-time processing for such models to provide a maximised experience for the users.