Artificial Intelligence (AI) drives the creation of future technologies that disrupt the way humans live and work, creating new solutions that change the way we approach tasks and activities, but it requires a lot of data processing, large amounts of data transfer, and computing speed. It has led to a growing interest of research in developing a new type of computing platform which is inspired by the architecture of the brain specifically those that exploit the benefits offered by photonic technologies, fast, low-power, and larger bandwidth. Here, a new computing platform based on the photonic reservoir computing architecture exploiting the non-linear wave-optical dynamics of the stimulated Brillouin scattering is reported. The kernel of the new photonic reservoir computing system is constructed of an entirely passive optical system. Moreover, it is readily suited for use in conjunction with high performance optical multiplexing techniques to enable real-time artificial intelligence. Here, a methodology to optimise the operational condition of the new photonic reservoir computing is described which is found to be strongly dependent on the dynamics of the stimulated Brillouin scattering system. The new architecture described here offers a new way of realising AI-hardware which highlight the application of photonics for AI.
翻译:人工智能(AI)推动未来技术的创造,这些技术干扰了人类的生活和工作方式,创造了新的解决方案,改变了我们对待任务和活动的方式,但需要大量数据处理、大量数据传输和计算速度。它导致人们越来越有兴趣研究开发新型计算机平台,这种平台的灵感来自大脑的架构,特别是利用光学技术、快速、低功率和较大带宽所带来的好处的大脑结构。在这里,基于光学储油层计算结构的新计算机平台,利用刺激的布列纽因散射的非线性波波光动力。这里描述的新架构提供了一种全新的实现AI-硬软件的方式,该软件将显示光学软件的应用。