Creativity and machine learning: A survey

G Franceschelli, M Musolesi - ACM Computing Surveys, 2024 - dl.acm.org
There is a growing interest in the area of machine learning and creativity. This survey
presents an overview of the history and the state of the art of computational creativity …

Where and how machine learning plays a role in climate finance research

A Alonso-Robisco, J Bas, JM Carbo… - … Finance & Investment, 2024 - Taylor & Francis
The financial sector, by mobilizing capital, is fundamental to adapt and mitigate the impact of
climate change in the economy. This has led to the emergence of a new research field …

Agi for agriculture

G Lu, S Li, G Mai, J Sun, D Zhu, L Chai, H Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including
healthcare, finance, transportation, and education. Within healthcare, AGI is being utilized to …

Climatenerf: Extreme weather synthesis in neural radiance field

Y Li, ZH Lin, D Forsyth, JB Huang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Physical simulations produce excellent predictions of weather effects. Neural radiance fields
produce SOTA scene models. We describe a novel NeRF-editing procedure that can fuse …

Climate-sensitive Urban Planning through Optimization of Tree Placements

S Schrodi, F Briegel, M Argus, A Christen… - arXiv preprint arXiv …, 2023 - arxiv.org
Climate change is increasing the intensity and frequency of many extreme weather events,
including heatwaves, which results in increased thermal discomfort and mortality rates …

GAN-assisted Road Segmentation from Satellite Imagery

W Hu, Y Yin, YK Tan, A Tran, H Kruppa… - ACM Transactions on …, 2023 - dl.acm.org
Geo-information extraction from satellite imagery has become crucial to carry out large-scale
ground surveys in a short amount of time. With the increasing number of commercial …

An Architecture for the detection of GAN-generated Flood Images with Localization Capabilities

J Wang, O Alamayreh, B Tondi… - 2022 IEEE 14th Image …, 2022 - ieeexplore.ieee.org
In this paper, we address a new image forensics task, namely the detection of fake flood
images generated by ClimateGAN architecture. We do so by proposing a hybrid deep …

Machine Learning methods in climate finance: a systematic review

A Alonso, JM Carbó, JM Marqués - 2023 - papers.ssrn.com
Preventing the materialization of climate change is one of the main challenges of our time.
The involvement of the financial sector is a fundamental pillar in this task, which has led to …

Surfgenerator: Generative adversarial network modeling for synthetic flooding video generation

S Lamczyk, K Ampofo, B Salashour… - … Joint Conference on …, 2022 - ieeexplore.ieee.org
The current lack of labeled large-scale flooding video datasets hinders work in semantic
segmentation of flooding videos. Flooding video semantic segmentation is needed in many …

[PDF][PDF] Inteligencia Artificial Profunda y Ciencias Sociales Adversarias en el siglo XXI. Nuevos modelos de Redes Neuronales Convolucionales

C Reynoso - 2023 - academia.edu
Although this book is not an ethnography, it has an ethnographic situation. If it has a field
site, then it lies close to the places where the writing was done–in universities, on campuses …