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Heading toward Artificial Intelligence 2.0

Yunhe Pan

Engineering 2016, Volume 2, Issue 4,   Pages 409-413 doi: 10.1016/J.ENG.2016.04.018

Abstract: , physical space, and cyberspace, the information environment related to the current development of artificialintelligence (AI) has profoundly changed.adjustments, and scientific foundations are confronted with new breakthroughs, as AI enters a new stage: AI 2.060-year developmental history of AI, analyzes the external environment promoting the formation of AI 2.0with changes in goals, and describes both the beginning of the technology and the core idea behind AI 2.0

Keywords: Artificial intelligence 2.0     Big data     Crowd intelligence     Cross-media     Human-machine     hybrid-augmented     intelligence    

Special issue on artificial intelligence 2.0 Editorial

Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 1-2 doi: 10.1631/FITEE.1710000

Abstract: None

Keywords: None    

2018 special issue on artificial intelligence 2.0: theories and applications Editorial

Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 1-2 doi: 10.1631/FITEE.1810000

Abstract: 2017年7月,中国政府发布了人工智能(AI)开发指南,即《新一代人工智能发展规划》。该计划拟分三步走,推进中国人工智能研发,其目标是在2030年,中国人工智能理论、技术和应用总体达到世界领先水平,成为世界主要的人工智能创新中心。 根据新一代人工智能发展规划,要瞄准大数据智能、跨媒体计算、人机混合智能、群体智能、自主无人化决策、类脑计算、量子智能计算等人工智能基础理论进行深入研究,取得突破。 下一代人工智能具有从数据和经验中无限(自我)学习、直觉推理、自适应等特点(Pan, 2016, 2017)。为克服现有人工智能的局限,人们普遍认识到,跨学科领域合作是人工智能真正影响世界的关键因素。 本期特刊主要涵盖如下5个方面主题:(1)人工智能基本理论问题,如可解释性深度学习和无监督学习(即领域自适应学习和生成对抗性学习);(2)类脑学习,如脉冲神经网络和记忆增强推理;(3)人在回路智能学习,如众包设计和数字大脑;(4)创意智能应用,如社交聊天机器人(即小冰)和自动语音识别;(5)卡耐基梅隆大学Raj Reddy博士分享了他对新一代人工智能的看法,加州大学伯克利分校郁彬教授主张在人机协作中使用统计概念以提升智能,中国科学院程健研究员等综述了深度神经网络加速方法。

Keywords: None    

Crowd intelligence in AI 2.0 era Review

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 15-43 doi: 10.1631/FITEE.1601859

Abstract: based cyber-physical world has profoundly changed the information environment for the development of artificialintelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0.As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attractedSpecifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligenceIn this paper, we survey existing studies of crowd intelligence.

Keywords: Crowd intelligence     Artificial intelligence 2.0     Crowdsourcing     Human computation    

FinBrain 2.0: when finance meets trustworthy AI Review

Jun ZHOU, Chaochao CHEN, Longfei LI, Zhiqiang ZHANG, Xiaolin ZHENG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1747-1764 doi: 10.1631/FITEE.2200039

Abstract: Artificial intelligence (AI) has accelerated the advancement of financial services by identifying hiddenBased on these progress and limitations, we introduce FinBrain 2.0, a research framework toward trustworthy

Keywords: Artificial intelligence in finance     Trustworthy artificial intelligence     Risk management     Fraud detection    

FinBrain: when finance meets AI 2.0 Review Articles

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 914-924 doi: 10.1631/FITEE.1700822

Abstract:

Artificial intelligence (AI) is the core technology of technological revolution and industrial transformationAs one of the new intelligent needs in the AI 2.0 era, financial intelligence has elicited much attentionIn our current dynamic capital market, financial intelligence demonstrates a fast and accurate machineIn this paper, we survey existing studies on financial intelligence.We believe that these research directions can lay the foundation for the development of AI 2.0 in the

Keywords: Artificial intelligence     Financial intelligence    

Challenges and opportunities: from big data to knowledge inAI 2.0 Review

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 3-14 doi: 10.1631/FITEE.1601883

Abstract: In this paper, we review recent emerging theoretical and technological advances of artificial intelligencedata-driven model to data-driven with structured logic rules models; from task-oriented (domain-specific) intelligence(adherence to explicit instructions) to artificial general intelligence in a general context (the capabilityMotivated by such endeavors, the next generation of AI, namely AI 2.0, is positioned to reinvent computing

Keywords: Deep reasoning     Knowledge base population     Artificial general intelligence     Big data     Cross media    

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 4,   Pages 648-653 doi: 10.15302/J-FASE-2023505

Abstract: Therefore, this article proposes an interactive knowledge learning approach using artificial intelligence

Keywords: artificial intelligence     extension system     non-point source pollution control     smallholders     fertilization    

Artificial intelligence in gastroenterology: where are we heading?

Joseph JY Sung, Nicholas CH Poon

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 511-517 doi: 10.1007/s11684-020-0742-4

Abstract: Artificial intelligence (AI) is coming to medicine in a big wave.

Keywords: artificial intelligence     endoscopy     robotics     gastrointestinal diseases    

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Engineering doi: 10.1016/j.eng.2023.07.006

Abstract: The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence(AGI) to the forefront of the artificial intelligence (AI) field once again.

Keywords: Artificial general intelligence     Artificial intelligence benchmark     Artificial intelligence evaluation     Embodied artificial intelligence     Value alignment     Turing test     Causality    

HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1,   Pages 150-154 doi: 10.15302/J-FASE-2021419

Artificial intelligence in radiotherapy: a technological review

Ke Sheng

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 431-449 doi: 10.1007/s11684-020-0761-1

Abstract: modulation, and robotics, created challenges and opportunities for the next breakthrough, in which artificialintelligence (AI) will possibly play important roles.

Keywords: artificial intelligence     radiation therapy     medical imaging     treatment planning     quality assurance     outcome    

Application of artificial intelligence in surgery

Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 417-430 doi: 10.1007/s11684-020-0770-0

Abstract: Artificial intelligence (AI) is gradually changing the practice of surgery with technological advancements

Keywords: artificial intelligence     surgical autonomy     medical robotics     deep learning    

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 488-497 doi: 10.1007/s11684-020-0762-0

Abstract: The artificial intelligence (AI) diagnosis model was constructed according to the dynamic uncertain causality

Keywords: knowledge representation     uncertain     causality     graphical model     artificial intelligence     diagnosis     dyspnea    

Artificial intelligence and statistics Perspective

Bin YU, Karl KUMBIER

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 6-9 doi: 10.1631/FITEE.1700813

Abstract: Artificial intelligence (AI) is intrinsically data-driven.

Keywords: Artificial intelligence     Statistics     Human-machine collaboration    

Title Author Date Type Operation

Heading toward Artificial Intelligence 2.0

Yunhe Pan

Journal Article

Special issue on artificial intelligence 2.0

Yun-he PAN

Journal Article

2018 special issue on artificial intelligence 2.0: theories and applications

Yun-he PAN

Journal Article

Crowd intelligence in AI 2.0 era

Wei LI,Wen-jun WU,Huai-min WANG,Xue-qi CHENG,Hua-jun CHEN,Zhi-hua ZHOU,Rong DING

Journal Article

FinBrain 2.0: when finance meets trustworthy AI

Jun ZHOU, Chaochao CHEN, Longfei LI, Zhiqiang ZHANG, Xiaolin ZHENG

Journal Article

FinBrain: when finance meets AI 2.0

Xiao-lin ZHENG, Meng-ying ZHU, Qi-bing LI, Chao-chao CHEN, Yan-chao TAN

Journal Article

Challenges and opportunities: from big data to knowledge inAI 2.0

Yue-ting ZHUANG,Fei WU,Chun CHEN,Yun-he PAN

Journal Article

INTERACTIVE KNOWLEDGE LEARNING BY ARTIFICIAL INTELLIGENCE FOR SMALLHOLDERS

Journal Article

Artificial intelligence in gastroenterology: where are we heading?

Joseph JY Sung, Nicholas CH Poon

Journal Article

The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social

Yujia Peng,Jiaheng Han,Zhenliang Zhang,Lifeng Fan,Tengyu Liu,Siyuan Qi,Xue Feng,Yuxi Ma,Yizhou Wang,Song-Chun Zhu,

Journal Article

HIGH-PERFORMANCE COMPUTATION AND ARTIFICIAL INTELLIGENCE IN PESTICIDE DISCOVERY: STATUS AND OUTLOOK

Journal Article

Artificial intelligence in radiotherapy: a technological review

Ke Sheng

Journal Article

Application of artificial intelligence in surgery

Xiao-Yun Zhou, Yao Guo, Mali Shen, Guang-Zhong Yang

Journal Article

Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph

Yang Jiao, Zhan Zhang, Ting Zhang, Wen Shi, Yan Zhu, Jie Hu, Qin Zhang

Journal Article

Artificial intelligence and statistics

Bin YU, Karl KUMBIER

Journal Article