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Journal Club for February 2020: Machine Learning in Mechanics: simple resources, examples & opportunities

Submitted by mbessa on
research
machine learning
deep learning
data-driven
mechanics

Machine learning (ML) in Mechanics is a fascinating and timely topic. This article follows from a kind invitation to provide some thoughts about the use of ML algorithms to solve mechanics problems by overviewing my past and current research efforts along with students and collaborators in this field. A brief introduction on ML is initially provided for the colleagues not familiar with the topic, followed by a section about the usefulness of ML in Mechanics, and finally I will reflect on the challenges and opportunities in this field.

The Machine Learning as an Expert System

Submitted by Ajit R. Jadhav on
machine learning
expert systems
data science
artificial intelligence
deep learning

1.

To cut a somewhat long story short, I think that I can ``see'' that Machine Learning (including Deep Learning) can actually be regarded as a rules-based expert system, albeit of a special kind.

I am sure that people must have written articles expressing this view. However, simple googling didn’t get me to any useful material.

I would deeply appreciate it if someone could please point out references in this direction. Thanks in advance.

2.

Postdoctoral Fellow/Research Associate – Lamina Cribrosa Biomechanics: A Diagnostic Biomarker for Glaucoma? – National University of Singapore

Submitted by mgirard on
job
Ocular Biomechanics
Translational Biomechanics
In vivo biomechanics
deep learning
artificial intelligence

Job description: We are looking for a bright, dynamic, and highly motivated individual to perform research in translational biomechanics with applications to ophthalmology. For more information about our Laboratory, please visit: http://www.bioeng.nus.edu.sg/oeil/.

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