AI News, AI Resource Center artificial intelligence

Elsevier Released 2018 AI Report: "How knowledge is created, transferred, and used"

In August this year, Elsevier, one of the world’s major providers of scientific, technical, and medical information has announced their new AI Resource Center.

Through its Artificial Intelligence Program, Elsevier wants to build a comprehensive global examination of artificial intelligence by combining semantic research with insights from AI experts and practitioners.

Today, Elsevier released a comprehensive report clarifying the scope and activity within the large field of artificial intelligence (AI).

The report is divided into 5 chapters: “Identifying Artificial Intelligence research”, “Artificial Intelligence: a multifaceted field”, “Artificial Intelligence research growth and regional trends”, “Artificial Intelligence education” and “The imperative role of ethics in Artificial Intelligence”.

Welcome to

Artificial Intelligence (AI) will change our lives – transforming how we work, how we travel, how we treat disease, how we communicate, and how we learn.

Researchers at the University of Waterloo are developing intelligent systems that can detect cancer and heart disease, understand language and emotion, and navigate roadways and factory floors better than ever before.

Waterloo’s track record of partnership with industry will allow us to deliver effective AI innovation for hundreds and thousands of businesses across Canada – a truly inclusive AI revolution.

Center for the Governance of AI - Future of Humanity Institute

The Center for the Governance of AI, housed at the Future of Humanity Institute, University of Oxford, strives to help humanity capture the benefits and mitigate the risks of artificial intelligence.

The Center seeks to guide the development of AI for the common good by conducting research on important and neglected issues of AI governance, and advising decision makers on this research through policy engagement.

The Center produces research which is foundational to the field of AI governance, for example mapping crucial considerations to direct the research agenda, or identifying distinctive features of the transition to transformative AI and corresponding policy considerations.

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