当前期刊: AI Perspectives Go to current issue    加入关注   
显示样式:        排序: IF: - GO 导出
我的关注
我的收藏
您暂时未登录!
登录
  • Can an AI learn political theory?
    AI Perspect. Pub Date : 2020-10-07
    Stephen J. DeCanio

    Alan Turing’s 1950 paper, “Computing Machinery and Intelligence,” contains much more than its proposal of the “Turing Test.” Turing imagined the development of what we today call AI by a process akin to the education of a child. Thus, while Turing anticipated “machine learning,” his prescience brings to the foreground the yet unsolved problem of how humans might teach or shape AIs to behave in ways

    更新日期:2020-10-07
  • AI-perspectives: the Turing option
    AI Perspect. Pub Date : 2020-09-04
    Frank Kirchner

    This paper presents a perspective on AI that starts with going back to early work on this topic originating in theoretical work of Alan Turing. The argument is made that the core idea - that leads to the title of this paper - of these early thoughts are still relevant today and may actually provide a starting point to make the transition from today functional AI solutions towards integrative or general

    更新日期:2020-09-07
  • Applications of AI in classical software engineering
    AI Perspect. Pub Date : 2020-07-26
    Marco Barenkamp; Jonas Rebstadt; Oliver Thomas

    Although Artificial Intelligence (AI) has become a buzzword for self-organizing IT applications, its relevance to software engineering has hardly been analyzed systematically. This study combines a systematic review of previous research in the field and five qualitative interviews with software developers who use or want to use AI tools in their daily work routines, to assess the status of development

    更新日期:2020-07-27
  • Digital reality: a model-based approach to supervised learning from synthetic data
    AI Perspect. Pub Date : 2019-09-03
    Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

    Hierarchical neural networks with large numbers of layers are the state of the art for most computer vision problems including image classification, multi-object detection and semantic segmentation. While the computational demands of training such deep networks can be addressed using specialized hardware, the availability of training data in sufficient quantity and quality remains a limiting factor

    更新日期:2019-09-03
  • Responsible AI: requirements and challenges
    AI Perspect. Pub Date : 2019-09-03
    Malik Ghallab

    This position paper discusses the requirements and challenges for responsible AI with respect to two interdependent objectives: (i) how to foster research and development efforts toward socially beneficial applications, and (ii) how to take into account and mitigate the human and social risks of AI systems.

    更新日期:2019-09-03
  • AI-Perspectives: an editorial
    AI Perspect. Pub Date : 2019-09-03
    Frank Kirchner

    In this journal we will have to discuss the many challenges and applications that AI in the time of increasing -computational- resources can achieve, how can it be applied and what the consequences of its application are. We will have to discuss about the feedback to basic AI research that is provided by the application of an AI-algorithm or concept to a given and real problem. Furthermore, we will

    更新日期:2019-09-03
Contents have been reproduced by permission of the publishers.
导出
全部期刊列表>>
微生物研究
亚洲大洋洲地球科学
NPJ欢迎投稿
自然科研论文编辑
ERIS期刊投稿
欢迎阅读创刊号
自然职场,为您触达千万科研人才
spring&清华大学出版社
城市可持续发展前沿研究专辑
Springer 纳米技术权威期刊征稿
全球视野覆盖
施普林格·自然新
chemistry
物理学研究前沿热点精选期刊推荐
自然职位线上招聘会
欢迎报名注册2020量子在线大会
化学领域亟待解决的问题
材料学研究精选新
GIANT
ACS ES&T Engineering
ACS ES&T Water
屿渡论文,编辑服务
阿拉丁试剂right
上海中医药大学
清华大学
复旦大学
南科大
北京理工大学
上海交通大学
隐藏1h前已浏览文章
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
清华大学-1
武汉大学
浙江大学
天合科研
x-mol收录
试剂库存
down
wechat
bug