Core Insights - The article discusses a new navigation system called LENS developed by researchers at Queensland University of Technology, which mimics human brain perception to enable robots to navigate without GPS or high energy consumption [1][2]. Group 1: Technology and Innovation - LENS is inspired by the brain's neural information encoding, aiming to allow robots to perform complex tasks with minimal energy, similar to the human brain's efficiency of processing information with just 20 watts [1]. - The system utilizes a novel "dynamic vision sensor" or "event camera" that activates pixels only when detecting changes in brightness or motion, significantly reducing unnecessary energy consumption [1][2]. - The neural architecture designed for LENS processes information through electrical pulses, simulating real neuronal signal transmission and enabling adaptive learning [2]. Group 2: Performance and Applications - LENS operates with energy consumption less than 10% of traditional navigation systems and occupies only 180 KB of storage, making it highly efficient for recognizing locations within an 8-kilometer range [2]. - The system is particularly advantageous in environments where traditional navigation methods fail, such as disaster sites, tunnels, dense forests, or extraterrestrial locations, as it does not rely on external positioning support [2]. - Initial tests indicate that LENS demonstrates comparable positioning accuracy and system stability to traditional navigation methods [2]. Group 3: Future Development and Challenges - The LENS system is still in the research and development phase, with potential for significant advancements as processor performance, sensor accuracy, and algorithm models improve [3]. - Key challenges for widespread application include enhancing the stability of the system in response to non-continuous event information and improving the capabilities of neuromorphic processors [3]. - Successful industrialization of this technology will depend on achieving deep collaboration among various sensory modalities, efficient support from brain-like chips, and the continuous evolution of adaptive algorithms [3].

现在 @stable 这个情况我想到一件事以前 AAVE 那个创始人，也是 LENS 创始人 stani 说要公布一件很大的事情，大家等了很久之后他开了一个space在 space 里又等了十分钟以上，他宣布说自己老婆怀孕了 ...