Exploring neuro-symbolic AI applications in geoscience: implications and future directions for mineral prediction
The integration of machine learning (ML) and deep learning (DL) into geoscience has
experienced a pronounced uptick in recent years, a trend propelled by the intricate nature of …
experienced a pronounced uptick in recent years, a trend propelled by the intricate nature of …
A generative adversarial network for climate tipping point discovery (tip-gan)
We propose a new Tipping Point Generative Adversarial Network (TIP-GAN) for better
characterizing potential climate tipping points in Earth system models. We describe an …
characterizing potential climate tipping points in Earth system models. We describe an …
Neuro-Symbolic Bi-Directional Translation--Deep Learning Explainability for Climate Tipping Point Research
In recent years, there has been an increase in using deep learning for climate and weather
modeling. Though results have been impressive, explainability and interpretability of deep …
modeling. Though results have been impressive, explainability and interpretability of deep …
Knowledge-Infused LLM Application in Data Analytics: Using Mindat as an Example
J Zhang - 2024 - search.proquest.com
The rapid advancement of Large Language Models (LLMs) has transformed various
scientific domains, yet their effective application in specialized fields such as geoscience …
scientific domains, yet their effective application in specialized fields such as geoscience …