Temporal-Spatial Fusion Vision Hardware Enables Streamlined In-Sensor Computing for Dynamic Scenes (opens in new tab)

Time and space constitute fundamental dimensions of physical reality, making their integrated processing crucial for advanced vision perception systems. Current visual information processing faces dual limitations: von Neumann architecture-induced data-transfer bottlenecks and spatial-feature processing often disregard temporal dynamics, while temporal analyzers oversimplify spatial complexity. Here we propose an artificial vision hardware enabling intrinsic temporal-spatial fusion through vo...