Progression to Web 3.0, Image hosted at deniseholt.us

The lab focuses on Edge Intelligence and Spatial Web Standard to develop interactive tools that generate and process multimodal data. We train, evaluate, and engineer Generative AI models under the Active Inference framework. The continual training under uncertainty is performed on-prem, or using national HPC, including Quantum Hubs. The lab’s technical equipment includes Edge-enabled sensors and GPU/CPU-based AI edge computing platforms. With this infrastructure, we explore real-time human performances with XR Avatars, AI-enabled interfaces, reactive surfaces, and 3D spatial interaction.

These new technologies correspond to the full stack of Web 3.0 and can be applied in various fields, such as health (therapy and rehabilitation), embodied interaction and soma design, sonic interaction design, and cutting-edge media technologies.

members

• Anders R Bargum: Industrial PhD Student at Heka VR
• Signe T Henriksen: Collaborator in Machine Learning for Media Experiences and new AI Engineering EVU
• Ganga Katwal: Lab intern, Multimedia Design, Digital Marketing, Motion Graphics

internal collaboration

• Multisensory Experience Lab, Stefania Serafin
• Augmented Performance Lab, Dan Overholt

external collaboration

• ADIN Lab, SDU Adaptive Intelligence Laboratory, Melih Kandemir
• ILAB, AU Inference, learning, and action in the brain, Chris Mathys
• Bellardita Lab, KU Neuroscience, Carmelo Bellardita
• Pioneer Center for Artificial Intelligence
• Synthesis Center, Arizona State University, Xin Wei Sha

student projects finalized at the lab