AI-Driven Model & Data Compression for Next-Generation Gaming

Location: Keynote Venue - 318 & 328

As gaming continues to evolve toward richer, more immersive experiences—including real-time rendering, volumetric environments, and AI-driven interactivity—efficient compression of both neural models and game data becomes critical. This presentation explores cutting-edge AI-driven compression techniques specifically designed for next-generation gaming applications. We examine how machine learning approaches can optimize asset storage, reduce bandwidth requirements, and maintain visual fidelity while enabling seamless streaming of complex game content across diverse hardware platforms.