Intelligent Radiation Sensor Readout System

i-RASE的愿景是在计算机科学和面向神经科学的人工智能（AI）开发方法的交叉点上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、测试和实施第一个具有变革潜力的逐光子辐射探测器，用于各种辐射应用，如医学成像、工业检测、科学空间仪器、环境监测等。i-RASE项目将开发受物理学启发的人工神经网络，用于全面的传感器信号处理和辐射相互作用的实时测量。它将把这项技术压缩成嵌入硬件（HW）的SP的终极愿景，作为一个“一体化”SIP，实现成本和能源效率高的检测和智能辐射数据输出，具有无与伦比的准确性和速度。这种方法提高了测量精度和速度，利用复杂的SP，事件表征，并在飞行中处理的入射辐射引起的信号在近实时。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.