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2018 special issue on artificial intelligence 2.0: theories and applications

2018; Springer Science+Business Media; Volume: 19; Issue: 1 Linguagem: Inglês

10.1631/fitee.1810000

2095-9230

Yunhe Pan,

COVID-19 diagnosis using AI

In July 2017, the Chinese government issued a guideline on developing artificial intelligence (AI), namely, the 'New-Generation Artificial Intelligence Development Plan', through 2030 to the public, setting a goal of becoming a global innovation center in this field by 2030.According to the development plan, breakthroughs should be made in basic theories of AI in terms of big data intelligence, cross-media computing, human-machine hybrid intelligence, collective intelligence, autonomous unmanned decisionmaking, brain-like computing, and quantum intelligent computing.The next-generation AI would be never-ending (self) learning from data and experience, intuitive reasoning and adaptation (Pan, 2016(Pan, , 2017)).From the perspective of overcoming the limitation of existing AI, it is generally recognized that the crossdisciplinary collaboration is a key for AI having real impact on the world.Thanks for the efforts from researchers in computer science, statistics, robotics, and psychiatry, the topics in this special issue consist mainly of five subjects: (1) fundamental issues in AI such as interpretable deep learning and unsupervised learning (i.e., domain adaptation and generative adversarial learning); (2) brain-like learning such as spiking neural network and memory-augmented reasoning; (3) human-in-the-loop learning such as crowdsourcing design and digital brain with crowd power; (4) creative applications such as social chatbots (i.e., XiaoICe) and automatic speech recognition; (5) Dr.