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Local AI, Models-as-Media, and the Future of Entertainment
DescriptionWhile AI advances are disrupting many creative and economic models in the arts and entertainment, most popular efforts in these fields have focused on the impact of cloud-hosted, centralized capabilities. This talk will explore the opportunities in creative applications for the distribution and decentralization of AI models onto user (audience) devices, which has the potential for cost savings, enhanced privacy, lower latency, operation with limited connectivity, and device-to-device collaboration for new audience experiences. It will cover current research at UCLA in future fan experiences supported by the ability to run AI inference, including media generation and computer vision, directly on mobile devices, and the tradeoffs and challenges in comparison to other approaches. As a case study, we will discuss the porting of 2D and 3D media generation models and pose recognition to NPUs on contemporary mobile phones, and proof-of-concept entertainment applications conceived for these capabilities. Through this case study we will discuss the opportunities for hardware support of local AI processing in service of novel human-computer interactions and the potential evolution of traditional media formats towards AI models.