3rd Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE)

Scientists and engineers in diverse application domains are increasingly relying on using computational and artificial intelligence (AI) tools to accelerate scientific discovery and engineering design. AI, machine learning, and reasoning algorithms are useful in building models and decision-making towards this goal. We have already seen several success stories of AI in applications such as materials discovery, ecology, wildlife conservation, and molecule design optimization. This workshop aims to bring together researchers from AI and diverse science/engineering communities to achieve the following goals:

  1. Identify and understand the challenges in applying AI to specific science and engineering problems.
  2. Develop, adapt, and refine AI tools for novel problem settings and challenges.
  3. Community-building and education to encourage collaboration between AI researchers and domain area experts.

This year’s theme is AI for Materials and Manufacturing. Our invited speakers and panelists from AI, Materials and Manufacturing sciences community include:

Speakers

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Ying Diao

University of Illinois at Urbana-Champaign

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Koji Tsuda

University of Tokyo

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Roman Garnett

Washington University in St. Louis

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Tao Sun

Northwestern University

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John Gregoire

California Institute of Technology

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Vahid Babaei

Max Planck Institute for Informatics

Organizing Committee

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Aryan Deshwal

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Jana Doppa

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Syrine Belakaria

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Kaiyan Qiu

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Yolanda Gil