### Abstract: Tianmouc - The World's First Primal Representation-Based Neuromorphic Complementary Visual Perception Chip On November 19, 2024, the World Internet Conference's Leading Technology Award ceremony was held in Wuzhen, Zhejiang Province, China. Among the 20 winners selected by a panel of over 40 global experts, the "Tianmouc" (based on primal representation) neuromorphic complementary visual perception chip developed by the Brain-Inspired Computing Research Center at Tsinghua University's Department of Precision Instruments was awarded in the Basic Research category, one of only three recipients in this category. #### Key Events and People: - **Event**: Awarding of the Leading Technology Award at the World Internet Conference. - **Date**: November 19, 2024. - **Location**: Wuzhen, Zhejiang, China. - **Winners**: Tsinghua University's Brain-Inspired Computing Research Center. - **Project**: Tianmouc, a neuromorphic complementary visual perception chip. - **Lead Figure**: Professor Shiluping, the Director of the Brain-Inspired Computing Research Center at Tsinghua University. #### Background and Innovation: Traditional visual sensors face significant limitations due to the "power wall" and the "bandwidth wall." These constraints make it difficult for such sensors to simultaneously achieve high resolution, high frame rates, and high dynamic range, thereby limiting their effectiveness in complex environments. To address these challenges, the Tsinghua University team drew inspiration from the human visual system and introduced a novel paradigm based on primal representation for neuromorphic complementary visual perception. #### Technical Breakthroughs: The core innovation of Tianmouc lies in its primal representation theory, which decomposes visual information into fundamental visual primitives. These primitives are then organically combined to form two complementary visual perception pathways: one for cognitive processing and the other for action. This dual-pathway system effectively overcomes the performance bottlenecks of traditional visual sensors. Specifically, Tianmouc can capture high-precision, 7-bit temporal changes and 10-bit color information simultaneously. It is capable of recording videos at up to 10,000 frames per second and sensing a high dynamic range of 130dB, while reducing bandwidth by 90%. #### Significance and Applications: The development of Tianmouc marks a significant advancement in the field of neuromorphic computing and opens new avenues for primal data representation. This technology can be extended to other sensory systems such as auditory, tactile, and olfactory sensors, providing a fresh perspective on human perception. The chip has the potential to serve as a foundational technology for future visual perception and spatial intelligence, with broad applications in areas like autonomous driving, industrial automation, consumer imaging, and scientific measurement. #### Recognition and Impact: The groundbreaking research and development of Tianmouc were highlighted in a cover article in the prestigious journal *Nature*. Professor Shiluping, in his speech at the award ceremony, emphasized the chip's unique capabilities and its potential to revolutionize multiple industries. The award underscores the international recognition of Tsinghua University's contributions to advanced technology and its commitment to pushing the boundaries of scientific innovation. #### Conclusion: The "Tianmouc" chip, developed by Tsinghua University's Brain-Inspired Computing Research Center, represents a significant leap in neuromorphic visual perception technology. By emulating the human visual system and utilizing primal representation theory, Tianmouc addresses critical limitations in traditional visual sensors, making it a promising technology for a wide range of applications. The Leading Technology Award at the World Internet Conference further validates the importance and potential impact of this innovation on the global technology landscape.