Emerging Trends in Artificial Intelligence & Machine Learning

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Using machine learning to analyze published ML research papers, Dr. Augustyn's data-driven approach reveals the leaders and collaborations in the field of artificial intelligence and a useful taxonomy of topics and applications.

The development of artificial intelligence/machine learning (AI/ML) capabilities is unquestionably on the rise, as the United States and other nations seek to increase their military strength.

Less clear is the ranking of those nations – who is leading the way in AI/ML? How does U.S. AI/ML research and development compare to other nations, such as China?

This presentation summarizes a recent global AI/ML landscape report to provide the audience with a nuanced analysis of who’s leading in the AI/ML landscape, including top researchers, key research hubs, and patterns of collaboration among nations.

The goal of the webinar recording is to inform understanding of the scope and nature of the AI/ML landscape, collaboration, and competition based on an analysis of recent global research and development (R&D) trends.

The analysis used a data-driven approach to break the extremely broad domain of AI/ML into specific research clusters, such as computer vision, cybersecurity applications, neuromorphic computing, etc.

This result is a detailed and realistic look at global leadership that considers differences in R&D focus between the United States and emerging competitors.

Using machine learning to analyze published ML research papers, Dr. Augustyn's data-driven approach reveals the leaders and collaborations in the field of artificial intelligence and a useful taxonomy of topics and applications.

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