China is developing in significance as a worldwide pioneer in
Artificial Intelligence (AI) examine, and there is an expanding pattern of scientists moving from the scholarly community to industry, particularly in the United States, as per new an investigation discharged by data examination business Elsevier.The report demonstrates that, all inclusive, AI look into has quickened, developing by over 12% every year in the previous five years (2013-2017), contrasting with under 5% for the past 5 years (2008-2012). On the other hand, look into yield by and large, all around over every single branch of knowledge, has developed by 0.8% every year in the course of recent years (2013-2017).The investigation finds that industry in the United States pulls in the most AI ability from both neighborhood and worldwide scholarly community. In Europe there’s a more grounded move of scholastic ability moving to non-European industry.Over the most recent three years, the information demonstrates Chinese scholarly community pulling in more AI ability than it is losing, affirming that the nation is on track to build up a main position in AI explore. Having overwhelmed the United States in AI examine yield in 2004, China is set to surpass Europe and turn into the greatest wellspring of AI explore all inclusive in four years, if the pace of current patterns proceeds.
The report is not a conclusion, but the start of a discussion on how we best enter the era of AI and increasingly symbiotic technology.
– Dan Olley, CTO, Elsevier
Another important revelation is that despite the increasing societal reference of AI and the media attention on the ethical implications of AI, academic research on the ethics of AI has been limited.
Dan Olley, Chief Technology Officer at Elsevier, said: “The new generation of technologies, commonly umbrellaed as AI, are so important and yet, there appears to be no shared understanding of its exact definition. With this comprehensive study of research performance in AI we aim to provide clarity on and insights into the field’s dynamics, trends and parameters. The report is not a conclusion, but the start of a discussion on how we best enter the era of AI and increasingly symbiotic technology.”
Enrico Motta, Professor of Knowledge Technologies at the Open University in the UK,expert contributor to the report, said: “This report applies extensive text mining and semantic analytics across literature from different sectors to uncover how to more comprehensively define the AI field – essentially using AI to map AI. It is the most comprehensive characterization of AI outputs across different sectors delivered so far.”
Reviewing 600 documents and over 700 field-specific key words across four sectors – research, education, technology, and media – the semantic analysis reveals that the field of AI focusses on seven distinct research areas:
- Search and Optimization,
- Fuzzy Systems,
- Natural Language Processing and Knowledge Representation,
- Computer Vision,
- Machine Learning and Probabilistic Reasoning,
- Planning and Decision Making, and
- Neural Networks.
Of these areas, research in machine learning and probabilistic reasoning, neural networks, and computer vision show the largest volume of research output and growth.
Other regional findings highlighted in the report:
- International mobility and collaboration patterns suggest that China operates in relative isolation from the wider research community.
- Europe is the largest and most diverse (in terms of research areas within AI) region in AI scholarly output, with high and rising levels of international collaborations outside of Europe.
- In 2017 India is the third largest country in terms of research output in AI after China and the US. Iran is ninth in publication output, on par with France and Canada. Germany and Japan remain the fifth and sixth largest in AI research output.