Reports of the Association for the Advancement of Artificial Intelligence’s 2021 Fall Symposium Series
Adam Amos-Binks, Shelly Bagchi, Erik Blasch, Mihai Boicu, Dustin Dannenhauer, Thomas E. Doyle, Leilani Gilpin, Anuj Karpatne, Aisling Kelliher, Reuth Mirsky, Nikhil Muralidhar, Audrey Reinert, Reza Samavi, Elizabeth Sklar, Gita Sukthankar, Megan Zimmerman
The Association for the Advancement of Artificial Intelligence’s 2021 Fall Symposium Series was held virtually from November 4-6, 2021. There were seven symposia in the fall program: Artificial Intelligence for Human-Robot Interaction, Artificial Intelligence in the Government and Public Sector, Cognitive Systems for Anticipatory Thinking, Computational Theory of Mind for Human-Machine Teams, 5 Human Partnership with Medical AI: Design, Operationalization, and Ethics, Science-Guided AI, and Where AI Meets Food Security: Intelligent Approaches for Climate-Aware Agriculture.
Reports of the Association for the Advancement of Artificial Intelligence’s 2021 Spring Symposium Series
The Association for the Advancement of Artificial Intelligence’s 2021 Spring Symposium Series was held virtually from March 22-24, 2021. There were ten symposia in the program: Applied AI in Healthcare: Safety, Community, and the Environment, Artificial Intelligence for K-12 Education, Artificial Intelligence for Synthetic Biology, Challenges and Opportunities for Multi-Agent Reinforcement Learning, Combining Machine Learning and Knowledge Engineering, Combining Machine Learning with Physical Sciences, Implementing AI Ethics, Leveraging Systems Engineering to Realize Synergistic AI/Machine-Learning Capabilities, Machine Learning for Mobile Robot Navigation in the Wild, and Survival Prediction: Algorithms, Challenges and Applications. This report contains summaries of all the symposia.
By Mark Maybury, Chief Technology Officer, Stanley Black & Decker,
23-25 March 2020, AAAI hosted a Virtual Spring Symposium on AI and Manufacturing in which government, academia and commercial participants worked collaboratively to articulate how intelligent manufacturing solutions offer opportunities to improve efficiency, effectiveness and social responsibility.