Artificial Intelligence Resource Center

Free access to research and expert commentary on AI, machine learning and related technologies — updated 7 September 2018

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Artificial Intelligence Resource Center

We created this Artificial Intelligence Resource Center for researchers, research leaders, funders, representatives of corporations, policymakers and anyone else interested in AI and the impact it is having on R&D, science and wider society. The site will be updated as new resources and data become available.

Elsevier’s Artificial Intelligence Program

There is no universally agreed upon definition of AI. Using a semantic analysis across four different sectors – Research, Education, Media and Technology – we discovered lexicon overlap is minimal. Yet, we all talk about AI as one field.

To help research leaders, policy makers and others to still be able to navigate this “field”, Elsevier is undertaking a project to build a comprehensive global examination of artificial intelligence. We are combining semantic research with insights from AI experts, practitioners and policy makers.

Some of the questions that may be addressed include, how has AI evolved over the last 20 years? How do the education trends differ regionally? How does knowledge travel between sectors? What are the ethical considerations?

The report on Artificial Intelligence will be published in late 2018 and will be freely available for all.

To contact the program, please feel free to email us.

Comments by experts contributing the AI Program

Roberto M. CesarRoberto M. Cesar Jr., Adjunct Coordinator – FAPESP, Brazil

AI is an unforeseen revolution that has re-organized the scientific community, companies, government and society. A large amount of intellectual tasks are currently automated by AI procedures. Efforts and advances have been implemented in different scientific communities, institutions and companies spread all over the world. AI open-source libraries and training data sets are produced, shared and used interchangeably by researchers, programmers and students from all these communities. It is thus very important to count upon initiatives that help understanding the research landscape on AI, both to be a part of it as well as to analyze the possible outcomes of this ongoing revolution.

Prof. Tieniu TanProf. Tieniu Tan, Institute of Automation, Chinese Academy of Sciences

Governments can enforce policies and regulations, provide sufficient funding, and develop & maintain adequate infrastructure to support the Artificial Intelligence field. Different countries may have different initiatives and strategies and compete for AI talents. But they should also collaborate. In our era, international collaboration is essential – no country can strive in the AI field in isolation.

Prof. Zhenan SunProf. Zhenan Sun, Institute of Automation, Chinese Academy of Sciences

China's Artificial Intelligence research has developed very fast in recent years, increasing its global significance within the field. China has unique advantages in applied technology research and development, for example, in face recognition. AI education has been receiving more and more attention in recent years, not only in universities, but also in vocational colleges, and even in secondary and primary schools. This growing AI talent base will result in even greater future development of the AI field in China.

Raymond PerraultRaymond Perrault, Senior Technical Advisor, AI Center, SRI International

Because of the range of its problems of interest, diversity of its technical approaches, and dependence on other scientific areas for both fundamental techniques and applications, AI is a very hard field to circumscribe. Yet doing so is essential to understanding its technical progress, the resources it consumes, and its impact on society. The methodology being developed in this study is a major step in defining its contours.

Expert perspective

Q&A with Elsevier CIO Dan Olley in Forbes Magazine

AI tech trends, symbiotic technology – and a new era of “augmented intelligence”

Dan Olley in ForbesIn “A CIO Hall of Famer’s Approach to Machine Learning,” technology author Peter High interviewed Elsevier’s CIO and Executive VP of Product Development about tech trends and their applications at Elsevier and beyond.

During the interview, Dan commented: "This era of symbiotic technology – enabled by combining AI, device miniaturization, 5G and an API-rich ecosystem – will untether us from screens and keyboards. As we think about training rather than programming these systems, new problems around bias and ethics will arise that we need to consider carefully."

Read the full interview and summary.

Michelle Gregory, Elsevier's Vice President of Content & Innovation in Algemeen Dagblad (AD)

Michelle Gregory for AD article

Michelle Gregory, Elsevier Vice President of Content & Innovation, shares her thoughts on AI and how Amsterdam is developing into a technology hot spot - Algemeen Dagblad (17 July)

Read the full interview and English translation.

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Access to published research

The list covers a range of seminal, iconic and top-cited papers published by Elsevier in the space of AI. They have been carefully selected by our computer and data science experts and journal editorial teams. Those that are not published open access have been made freely available.

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