Frontiers in AI – Digital Ecai 2020

Frontiers in AI

Frontiers in AI consists of four sessions where selected invited speakers will be presenting appealing talks to make the AI community aware of particularly interesting new research results, directions, and trends. The invited speakers in ECAI2020 are, in order of appearance:

Blai Bonet, who will address recent work in planning and learning and how multiple problem instances can be solved using off-the-shelf planners
Rada Mihalcea, who will talk about how recent research in the emerging field of computational sociolinguistics shows we can effectively leverage the close interplay between language and people
Magdalena Ortiz, who will address some selected areas where Knowledge Representation has proved very successful, if not necessarily at replicating the whole spectrum of human intelligence, certainly at achieving more intelligent information systems.
Randy Goebel and Firas Lethaus, who will talk about salient aspects of challenges in the application of Artificial Intelligence to automotives and automated autonomous systems.

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August 31

Blai Bonet

Computer Science Professor

Recent work in planning and learning is concerned with the task of inferring general plans from either models or data that solve multiple problems from the same domain (e.g., any blocks world problem)

September 01

Rada Mihalcea

Professor of Computer Science, University of Michigan

Language is not only about the words, it is also about the people. While much of the work in computational linguistics has focused almost exclusively on words, recent research in the emerging field of computational sociolinguistics has shown that we can effectively leverage the close interplay between language and people.

September 02

Magdalena Ortiz

Assistant Professor, TU Wien

Since the early days of AI, Knowledge Representation and Reasoning (KR) has pursued the goal of capturing human knowledge in forms that can be stored in machines and used for automated inference, enabling computers to draw conclusions analogous to the ones we humans draw from our own knowledge.

September 03

Randy Goebel

Professor of Computing Science, University of Alberta (Canada)

The pace at which AI theory is being delivered to application has accelerated in the last decade, creating some impressive value in some areas (e.g., health and legal informatics, manufacturing, supply chain management), but raising warning flags about trust and ethics.

Firas Lethaus

Director of Machine Learning Volkswagen Group

The pace at which AI theory is being delivered to application has accelerated in the last decade, creating some impressive value in some areas (e.g., health and legal informatics, manufacturing, supply chain management), but raising warning flags about trust and ethics.

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