Qualcomm explores innovative approaches to maximize throughput within fixed bandwidth constraints, emphasizing the importance of codec choice for optimal data reconstruction. The discussion highlights advancements in graph neural networks, particularly the development of Mesh CNN, which integrates geometry to improve performance on tasks like shape segmentation. Additionally, an upcoming workshop on neural compression aims to unite experts in information theory and deep learning to advance codec technology.
