Intelligent Radiation Sensor Readout System

i-RASE的愿景是在计算机科学和面向人工智能（AI）开发的神经科学方法的交叉领域开创一类新的辐射传感器系统级封装（SIP）芯片。i-RASE项目旨在设计、建造、测试和实现第一个具有各种辐射应用潜力的实时光子辐射探测器，如医学成像、工业检测、科学空间仪器、环境监测等。i-RASE项目将开发物理启发的人工神经网络（ann），用于综合传感器信号处理（SP）和辐射相互作用的实时（RT）测量。该公司将把这项技术压缩成嵌入硬件（HW）的SP的终极愿景，作为“一体化”SIP，以无与伦比的精度和速度实现低成本、高能效的检测和智能辐射数据输出。该方法利用复杂SP、事件表征和近实时的入射辐射诱导信号的动态处理，提高了测量精度和速度。因此，它有助于检索入射辐射的综合信息，最终提高测量精度和速度，同时减少数字数据输出。

The vision of i-RASE is to pioneer a new class of radiation sensor system-in-package (SIP) chips at the intersection of computer scienceand neuroscience-oriented approaches to artificial intelligence (AI) development. The i-RASE project aims to design, build, test, and implement the first on-the-fly photon-by-photon radiation detector with transformational potential for various radiation applications, such as medical imaging, industrial inspection, scientific space instrumentation, environmental monitoring, and more. The i-RASE project will develop physics-inspired artificial neural networks (ANNs) for comprehensive sensor signal processing (SP) and real-time (RT) measurement of radiation interactions. It will compact this technology into an ultimate vision for SP embedded in hardware (HW) as an "all-in-one" SIP, enabling cost- and energy-efficient detection and intelligent radiation data output with unparalleled accuracy and speed. This approach enhances measurement precision and speed by utilizing complex SP, event characterization, and on-the-fly processing of incident radiation-induced signals in near real-time. As a result, it facilitates the retrieval of comprehensive information on incident radiation, ultimately improving measurement accuracy and speed while reducing digital data output.