Project Details
Description
Advanced Study group at the Pufendorf IAS
Popular science description
Deep Generative Models (DGMs ) — often referred to as deep fakes — have become famous because of their use to make fake videos of celebrities. However, artificial data produced using DGMs can be used to solve problems across a broad range of scientific disciplines. At a technical level DGMs use deep neural networks to produce synthetic data which has the same properties as real data.
This Advanced Study Group will bring together leading practitioners of this AI technique with researchers drawn from four faculties in order to explore the possible application of DGMs in a broad range of research disciplines.
The Advanced Study Group will begin by considering five science domains: astronomy, human geography, materials science, medicine and particle physics. The ASG therefore spans an enormous range of length scales: from the size of an individual atomic nucleus to the diameter of the Milky Way Galaxy. However, researchers face similar challenges in all five science areas: with the help of DGMs, we wish to de-noise, compress and search images, extract features and detect anomalies, as well as impute missing data and reduce dimensionality of our data.
This Advanced Study Group will bring together leading practitioners of this AI technique with researchers drawn from four faculties in order to explore the possible application of DGMs in a broad range of research disciplines.
The Advanced Study Group will begin by considering five science domains: astronomy, human geography, materials science, medicine and particle physics. The ASG therefore spans an enormous range of length scales: from the size of an individual atomic nucleus to the diameter of the Milky Way Galaxy. However, researchers face similar challenges in all five science areas: with the help of DGMs, we wish to de-noise, compress and search images, extract features and detect anomalies, as well as impute missing data and reduce dimensionality of our data.
Short title | Deep Generative Models |
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Status | Finished |
Effective start/end date | 2022/09/01 → 2023/05/01 |
Free keywords
- artificial data
- AI
- Data
- interdisciplinary research