文章摘要
孙效华,张义文,侯璐,周雯洁,张绳宸.人工智能产品与服务体系研究综述[J].包装工程,2020,41(10):49-61.
人工智能产品与服务体系研究综述
Review on Artificial Intelligence Products and Service System
投稿时间:2020-05-01  修订日期:2020-05-20
DOI:10.19554/j.cnki.1001-3563.2020.10.009
中文关键词: 人工智能  人工智能产品  服务体系  服务场景
英文关键词: artificial intelligence  AI products  service system  service scenario
基金项目:国家自然科学基金项目(51961028);博士启动基金(EA201901056)
作者单位
孙效华 同济大学上海 200092 
张义文 同济大学上海 200092 
侯璐 同济大学上海 200092 
周雯洁 同济大学上海 200092 
张绳宸 同济大学上海 200092 
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中文摘要:
      目的 在新一代人工智能发展背景下,分析并明确人工智能产品及其服务体系的特征与价值,指出未来发展趋势,为相关设计、技术与应用研究提供参考。方法 从人工智能的概念出发,给出人工智能产品及其服务体系的定义;收集并分析典型的人工智能产品和相关研究,总结整理人工智能产品的关键特征和支撑技术;探索人工智能产品的典型服务场景,对相关研究现状进行综述;基于前文分析对未来发展趋势及挑战进行预测。结论 指明了人工智能产品具有情境感知、自适应学习、自主决策、主动交互与协同的典型特征;描绘了以数据和计算能力为基础、算法为核心、多种底层技术与通用技术为支持的场景应用的人工智能产品支撑技术框架;分析了人工智能产品的服务体系在不同场景中可以被赋予的价值;预测了由技术驱动向设计驱动转化、由单品视角向服务体系视角转变的未来发展趋势。
英文摘要:
      In the era of a new generation of artificial intelligence, this work aims to analyze and identify the characteristics and value of artificial intelligence products and service systems, indicates the future development trends, and provides references for related design, technology and application research. Starting from the concept of artificial intelligence (AI), the concepts of AI products and service systems is defined in this paper. Typical AI products and related research are reviewed and analyzed, and the key features and supporting technologies of artificial intelligence products are summarized. Then, this paper explores the typical service scenarios of AI products and reviews the current status of relevant research. Finally, the future trends and challenges are predict based on the previous analysis. This paper indicates that the typical characteristics of AI products include context awareness, adaptive learning, autonomous decision-making, proactive interaction and collaboration. Framework of supporting technologies of AI products is described, that data and computing power as base, algorithms as core, and multiple underlying technologies and general technologies supporting applications in various scenarios. The value that the service system of AI products can bring is analyzed in different scenarios. The future trends are predicted as the transformation from tech-driven to design driven, and the switch of perspective from single AI product to service system.
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