AI Excellence Lecture on Hybrid & Causal Machine learning in the Earth sciences

ONLINE

Abstract: Most problems in Earth sciences aim to do inferences about the system, where accurate predictions are just a tiny part of the whole problem. Inferences mean understanding variables relations, deriving models that are physically plausible, that are simple parsimonious, and mathematically tractable. While machine learning models excel as approximators, they often disregard fundamental physics […]

ELLIS Multimodal Learning Systems Workshop on Multimodal Foundation Models

Mathematisches Forschungsinstitut Oberwolfach (MFO) Schwarzwaldstraße 9-11, Oberwolfach-Walke, Germany

Multimodal foundation models are a revolutionary class of AI models that provides impressive abilities to generate content (text, images, sound, videos, protein structures, and more), and do so by interactive prompts in a seemingly creative manner. These foundation models are often autoregressive, self-supervised, transformer-based models that are pre-trained on large volumes of data, typically collected […]