Seismologie und Artifizielle Intelligenz
- Frankfurt am Main, Germany
- August 2020
- Frankfurt Institute for Advanced Studies
The complex nature of seismic events makes it particularly challenging to efficiently extract information from the geophysical data by just using the classical statistical tools. Furthermore, due to simplified assumptions, analytical methods might encounter certain limitations. The cutting-edge research in Deep Learning/Machine learning is already providing powerful tools in handling massive data and in extracting desired features. Our group focuses on developing deep learning based tools to improve Early Warning and Forecasting of Earthquake and Volcanic events.
- Open source
- 45/55/0 (% m/f/d)
- Federal Government Funding
Project stage (in ):
Implemented/Running Project
Implemented by:
Inhouse
Industrial Sectors:
Professional, scientific and technical activities
Usage of AI:
Natural Language Processing, Computer Vision, Data Management and Analysis, Information Retrieval, Generative Models
Generation of AI:
Traditional Machine Learning (Linear Regression, CART, SVM, etc.), Deep Learning (CNN, Transformers, etc.)
Model training:
Supervised Learning, Semi-supervised Learning, Unsupervised Learning, Transfer Learning
Contact
Responsible Person
Dr. Nishtha Srivastava
Motivation and values
How did the idea of your project come about?
Internal in our organization
Design & Safeguards
Have the project results been validated by third parties?
Unknown
Have the design and the results of the project been made transparent to the public?
Unknown
Is your project directly or indirectly contributing to solutions for the climate crisis or other UN sustainability goals?
Directly