Intelligent standby list cleaner ISLC自动清理Windows备用内存ISLC v1.0.2.2，当剩余空闲内存小于一定值时，自动释放备用内存

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图灵1951年报告Intelligent Machinery, A Heretical Theory汉译文

Intelligent transport systems — Adaptive cruise control systems — Performance requirements and test procedures

智能交通系统 智能交通系统

作为M＆S（建模和仿真）应用程序的普遍支持，M＆S语言和平台可以有效地提高复杂对象和系统的M＆S功能。 本文提出了一种智能系统建模和仿真语言（IMSL），该语言将人工智能理论和M＆S技术相结合来描述智能模型的结构，行为，事实，知识和规则。 同时，建立了M＆S平台，为智能系统的M＆S提供了基本的支持，具有便利，高效，解决问题的能力。 我们的研究工作集中在智能系统的M＆S方法和语言规范，智能仿真资源库和集成开发环境上。 作为一个应用实例，进行了C3I（命令，控制，通信和信息）系统的M＆S，以评估IMSL和IMSL平台的性能。 仿真结果表明，IMSL可以有效解决实际问题。

The research on nanophotonic devices has made great progress during the past decades. It is the unremitting pursuit of researchers that realize various device functions to meet practical applications. However, most of the traditional methods rely on human experience and physical inspiration for structural design and parameter optimization, which usually require a lot of resources, and the performance of the designed device is limited. Intelligent algorithms, which are composed of rich optimized

This paper takes the p-adic representation of integers as the research object to realize the distance measurement of integers in the p-adic metric space. The authors firstly apply the Euclidean algorithm to infer the coefficients of a positive integer in polynomial representation, whose corresponding negative integer can be obtained with the help of the similar solution method of binary complement; secondly, the coefficients are respectively mapped into from mod p to mod the n-th power of p laye

ABSTRACT With the development of network-enabled sensors and articial intelligence algorithms, various human-centered smart systems are proposed to provide services with higher quality, such as smart healthcare, affective interaction, and autonomous driving. Considering cognitive computing is an indispensable technology to develop these smart systems, this paper proposes human-centered computing assisted by cognitive computing and cloud computing. First, we provide a comprehensive investigation of cognitive computing, including its evolution from knowledge discovery, cognitive science, and big data. Then, the system architecture of cognitive computing is proposed, which consists of three critical technologies, i.e., networking (e.g., Internet of Things), analytics (e.g., reinforcement learning and deep learning), and cloud computing. Finally, it describes the representative applications of human-centered cognitive computing, including robot technology, emotional communication system, and medical cognitive system.

Intelligent Sensing, Instrumentation and Measurements