人工智能在无人作战飞机上的应用与展望

在未来高对抗环境下,夺取空中优势至关重要,无人作战飞机（UCAV）的参战将实现飞行员零伤亡。人工智能（AI）作为无人作战飞机未来发展的颠覆性技术之首,将从力量倍增器或作战支持转变为真正的人类替代者。从AI对UCAV的作用与意义出发,介绍了国外UCAV相关的人工智能项目的研究进展,总结了UCAV相关的AI智能算法,分析了UCAV的发展趋势。随着人工智能技术、机载处理技术以及传感器技术的进步,UCAV将在未来战争中实现智能协同、智能任务与智能飞行,成为空战的主力。     

构建WebGIS和人工智能技术的防震综合管理系统

作为对人类人身和财产危害最严重的自然灾害,地震灾害的预防和管理越来越受到重视。伴随着科技的不断发展和进步,处在互联网时代的人们利用各种先进技术来应对地震灾害,其中地理信息系统发展也趋向于结合网络技术的Web空间数据浏览、查询及分析等功能,从而逐渐形成了基于网络技术的地理信息系统(WebGIS)。WebGIS平台的出现将空间数据的共享变为现实,对防震减灾工作提供了非常大的帮助。     

论管理系统的分布化、综合化、动态化和智能化

在现今迅速变化的网络环境中,网络管理已经演化为对分布式系统的综合管理,管理系统正朝着分布化、综合化、动态化和智能化方向发展。本文分析了形成这些发展趋势的原因和所要解决的关键技术,提出了这四个方面的重要技术是相互关联的观点,并给出了它们间存在的层次关系。     

Machine learning-based zero-touch network and service management: a survey

The exponential growth of mobile applications and services during the last years has challenged the existing network infrastructures. Consequently, the arrival of multiple management solutions to cope with this explosion along the end-to-end network chain has increased the complexity in the coordinated orchestration of different segments composing the whole infrastructure. The Zero-touch Network and Service Management (ZSM) concept has recently emerged to automatically orchestrate and manage network resources while assuring the Quality of Experience (QoE) demanded by users. Machine Learning (ML) is one of the key enabling technologies that many ZSM frameworks are adopting to bring intelligent decision making to the network management system. This paper presents a comprehensive survey of the state-of-the-art application of ML-based techniques to improve ZSM performance. To this end, the main related standardization activities and the aligned international projects and research efforts are deeply examined. From this dissection, the skyrocketing growth of the ZSM paradigm can be observed. Concretely, different standardization bodies have already designed reference architectures to set the foundations of novel automatic network management functions and resource orchestration. Aligned with these advances, diverse ML techniques are being currently exploited to build further ZSM developments in different aspects, including multi-tenancy management, traffic monitoring, and architecture coordination, among others. However, different challenges, such as the complexity, scalability, and security of ML mechanisms, are also identified, and future research guidelines are provided to accomplish a firm development of the ZSM ecosystem.     

A review on SRAM-based computing in-memory: Circuits,functions, and applications

Artificial intelligence (AI) processes data-centric applications with minimal effort. However, it poses new challenges to system design in terms of computational speed and energy efficiency. The traditional von Neumann architecture cannot meet the requirements of heavily data-centric applications due to the separation of computation and storage. The emergence of computing in-memory (CIM) is significant in circumventing the von Neumann bottleneck. A commercialized memory architecture, static random-access memory (SRAM), is fast and robust, consumes less power, and is compatible with state-of-the-art technology. This study investigates the research progress of SRAM-based CIM technology in three levels: circuit, function, and application. It also outlines the problems, challenges, and prospects of SRAM-based CIM macros.     

基于AI的无线网络感知技术研究综述

在无线通信网络中使用感知技术,可以从海量网络数据中提取所需特征信息,以便实现网络的智能管理。传统感知技术往往与感知对象密切相关,依赖使用者的经验与知识,有很大的局限性。未来无线通信网络结构将会日益庞杂异构,海量数据、快速变化的业务使得传统信息感知技术无法有效实现感知需求,而人工智能(Artificial Intelligence, AI)技术兴起后也逐渐应用于无线通信领域,因具有高效、灵活等优势,所以利用AI技术在无线网络中实现感知需求成为可能。综述了无线通信中的AI感知技术的概念、机制、关键技术,对比分析了不同算法的性能,并探讨了AI感知技术未来可能面临的挑战。     

Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey

How to explore and exploit the full potential of artificial intelligence(AI)technologies in future wireless communications such as beyond 5G(B5G)and 6G is an extremely hot inter-disciplinary research topic around the world.On the one hand,AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities.On the other hand,embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks.This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective,not only considering the radio resource(e.g.,spectrum)management but also other types of resources such as computing and caching.We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks.     

Probabilistic Quantitative Temporal Constraints: Representing,Reasoning, and Query Answering

In many applications and domains, temporal constraints between actions, and their probabilities play an important role. We propose the first approach in the literature coping with probabilistic quantitative constraints. To achieve such a challenging goal, we extend the widely used simple temporal problem (STP) framework to consider probabilities. Specifically, we propose i) a formal representation of probabilistic quantitative constraints, ii) an algorithm, based on the operations of intersection and composition, for the propagation of such temporal constraints, and iii) facilities to support query answering on a set of such constraints. As a result, we provide users with the first homogeneous method supporting the treatment (representing, reasoning, and querying) of probabilistic quantitative constraints, as required by many applications and domains.     

信息物理系统技术现状分析与趋势综述

随着国民经济中各个产业信息化程度的提升和产业间深度交叉融合,信息物理系统(Cyber-Physical System, CPS)正成为支撑这一发展的关键技术,也被誉为是引领全球新一轮产业技术变革的核心体系。通过将客观物理世界中实体、行为以及交互环境等精准映射至信息空间,进行实时处理并反馈回物理空间,CPS能够从系统视角和不同层面解决复杂系统的分析建模、决策优化、不确定处理等难题。该文从CPS的体系架构和设计开发流程分析了其关键技术和难点瓶颈,探讨了CPS与边云协同计算、数字孪生、人工智能和区块链等前沿技术间相互支撑关系,综述了CPS在工业生产、能源电力、交通驾驶和医疗健康4个应用领域研究现状。最后,对CPS未来的技术发展进行了展望。以希望为信息物理系统及相关研究领域的专家和学者提供参考,为我国产业科技变革和智能化转型提供技术支持。     

Insights on Artificial Interphases of Zn and Electrolyte: Protection Mechanisms,Constructing Techniques,Applicability, and Prospective

Aqueous zinc-ion batteries (ZIBs) with metallic Zn anodes have emerged as promising candidates for large-scale energy storage systems due to their inherent safety and competitive capacity. However, challenges of Zn anodes, including dendrite growth and side reactions, impede the commercialization of ZIBs. The regulation of the Zn/electrolyte interphase is a feasible method to achieve high-performance ZIBs with prolonged lifespan and high reversibility. Considering the as-made artificial interphase is the result of a combination of protection materials, protection mechanisms, and construction techniques, this review comprehensively summarizes the recent progress of interphase modulation and provides a systematic guideline for constructing ideal artificial layers. In addition to revealing the entanglement relationship between the failure behaviors of Zn anodes and timely concluding the emerging protection mechanisms for stable Zn/electrolyte interphase, this review also evaluates the constructing techniques in regard of commercialization, including engineering workflow, strength, shortcoming, applicable materials, and protection effect, aiming to pave the way to practical application. Finally, this review presents noteworthy points of ideal artificial layer. It is expected that this review can enlighten researchers to not only explore ideal interphases of Zn anodes for practical application, but also design other metal anodes in aqueous batteries with similar failure behaviors.