Robot Scientists and Machine Learning for Automated Modeling and Control of Complex Systems

Presentations

• The Adam and Eve Robot Scientists for the Automated Discovery of Scientific Knowledge

  COFFEE_KLATCH · Invited

  March 17, 2017, 8:00 AM – March 17, 2017, 8:36 AM

  Authors

  • Ross King

    • University of Manchester

  View abstract →

• Automated inference of biological and physical models

  COFFEE_KLATCH · Invited

  March 17, 2017, 8:36 AM – March 17, 2017, 9:12 AM

  Authors

  • Hod Lipson

    • Columbia University, Mechanical Engineering

  View abstract →

• Automated adaptive inference of phenomenological dynamical models

  COFFEE_KLATCH · Invited

  March 17, 2017, 9:12 AM – March 17, 2017, 9:48 AM

  Authors

  • Bryan Daniels

    • Arizona State University

  View abstract →

• Discovering governing equations from data by sparse identification of nonlinear dynamics

  COFFEE_KLATCH · Invited

  March 17, 2017, 9:48 AM – March 17, 2017, 10:24 AM

  Authors

  • Steven Brunton

    • Univ of Washington

  View abstract →

• Thinking in machines, not statistics

  COFFEE_KLATCH · Invited

  March 17, 2017, 10:24 AM – March 17, 2017, 11:00 AM

  Authors

  • Sarah Marzen

    • MIT

  View abstract →