Nov 6 webinar: AI & Machine Learning in Natural Hazards Engineering

[announce at designsafe-ci.org]

*AI & Machine Learning in Natural Hazards Engineering:*
*Technical and Modeling Q&A*

Nov. 6, 1:00-2:00 pm Pacific time

Register online on the DesignSafe website
<https://www.designsafe-ci.org/learning-center/training/simcenter/2018/webinar-181106/>

*Abstract. *Artificial intelligence (AI) and machine learning (ML) have
shown unprecedented success in a wide range of research areas and practical
applications. In an earlier SimCenter webinar (“AI & Machine Learning in
Natural Hazards Engineering: Approaches to Deep Learning”) held on October
2, Dr. Yu described a few such projects in her computer vision group at UC
Berkeley, along with their goals for the SimCenter AI/ML team to empower
future structural engineering and natural hazard modeling. She introduced
the basic ideas and pipeline of deep learning approaches to a sample
computer vision task, e.g. convolutional neural networks for image
classification. This webinar will address technical and modeling questions
from the audience community on how AI/ML could be used in your respective
fields.

*Presenter. *Stella Yu received her Ph.D. from Carnegie Mellon University,
where she studied robotics at the Robotics Institute and vision science at
the Center for the Neural Basis of Cognition. She continued her computer
vision research as a postdoctoral fellow at UC Berkeley, and then studied
art and vision as a Clare Booth Luce Professor at Boston College, during
which she received an NSF CAREER award. Dr. Yu is currently the Director of
Vision Group at the International Computer Science Institute (ICSI) and a
Senior Fellow at the Berkeley Institute for Data Science (BIDS) at UC
Berkeley. Dr. Yu is interested not only in understanding visual perception
from multiple perspectives, but also in using computer vision and machine
learning to capture and exceed human expertise in practical applications.

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