人工认知电路的光子硬件实现之路

E. Fazio
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引用次数: 3

摘要

我们使用的许多技术都是受到大自然的启发。这种情况发生在不同的领域,从力学到光学再到计算机科学。大自然有不可思议的潜力,人类还不知道,或者还在努力通过经验来学习。这些潜力涉及通过各种分布式智能方法解决复杂问题的能力。事实上,自然界中存在着与人类不同的智力形式,但它们都非常高效。人类经常把那些允许动物群体发展出极端复杂的居住场所或集体行为的分布式智能形式作为模型。最近,阿隆佐等人(科学众议员)。8, 5716(2018))发布了一种硬件实现,通过利用光提供的巨大可能性来解决现代信息网络中复杂的路由问题。本文提出了一种基于蚁群觅食决策过程的可寻址光子电路。当蚂蚁寻找食物时,它们会通过留下信息素的痕迹来改变周围的环境,信息素可能会被强化,并作为一种路径标记,表明它们何时找到了食物。这个过程是基于污名化,或环境的修改,以实现分布式决策过程。这项工作提出的光子硬件实现是一个光子x结,模拟了这种污名化过程。实验实施基于非线性基质的使用,即可以被光修饰的材料,模拟蚂蚁在留下信息素痕迹时对周围环境造成的修饰。在这里,两个激光束产生两个交叉通道,其中折射率相对于整个衬底增加。这些通道就像集成波导(几乎是自写的光纤),光信息可以在其中传播(就像蚂蚁跟随已经“写”的信息素的痕迹一样)。所提出的器件是具有两个交叉波导的x结,其折射率对比度由写入光束的强度定义。书写强度越高,诱导指数变化越大,仿佛是一个越来越强烈的信息素痕迹。信息将遵循结的最对比伤害,它被驱动并最终由写入光强度切换。任何将被发送到设备的光信息将遵循最强烈的轨迹,即对比度最大的波导。本文展示了一种可以完全使用光操作的装置,它可以作为复杂硬件配置的基础,可以再现分布式智能。这是电子和光子技术领域的一个非常重要的创新,其中人工认知和决策过程被实现到硬件电路中,而不是在软件代码中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Road Towards the Photonic Hardware Implementation of Artificial Cognitive Circuits
Many technologies we use are inspired by nature. This happens in different domains, ranging from mechanics to optics to computer sciences. Nature has incredible potentialities that man still does not know or that he striving to learn through experience. These potentialities concern the ability to solve complex problems through approaches of various types of distributed intelligence. In fact, there are forms of intelligence in nature that differ from that of man, but are nevertheless exceedingly efficient. Man has often used as a model those forms of distributed intelligence that allow colonies of animals to develop places of housing or collective behaviors of extreme complexity. Recently, M. Alonzo et alii (Sci.Rep. 8, 5716 (2018)) published a hardware implementation to solve complex routing problems in modern information networks by exploiting the immense possibilities offered by light. This article presents an addressable photonic circuit based on the decision-making processes of ant colonies looking for food. When ants search for food, they modify their surroundings by leaving traces of pheromone, which may be reinforced and function as a type of path marker for when food has been found. This process is based on stigmergy, or the modification of the environment to implement distributed decisionmaking processes. The photonic hardware implementation that this work proposes is a photonic X-junction that simulates this stigmergic procedure. The experimental implementation is based on the use of non-linear substrates, i.e. materials that can be modified by light, simulating the modification induced by the ants on the surrounding environment when they leave the pheromone traces. Here, two laser beams generate two crossing channels in which the index of refraction is increased with respect to the whole substrate. These channels act as integrated waveguides (almost self-written optical fibers) within which optical information can be propagated (as happens for the ants that follow traces of pheromone already “written”). The proposed device is a X-junction with two crossing waveguides, whose refractive index contrast is defined by the intensities of the writing light beams. The higher the writing intensity, the greater the induced index variation, as if it were an increasingly intense pheromone trace. The information will follow the most contrasted harm of the junction, which is driven and eventually switched by the writing light intensity. Any optical information that will be sent to the device will follow the most intense trace, i.e. the most contrasted waveguide. The paper demonstrates a device that can be wholly operated using the light and that can be the basis of complex hardware configurations that might reproduce the stigmergic distributed intelligence. This is a highly significant innovation in the field of electronic and photonic technologies, within which artificial cognition and decision processes are implemented into a hardware circuit and not in a software code.
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