25 Followers
44 Following
7 Posts
Alexander Hagg, computational creativity, evolutionary computation, AI interaction, researcher at BRSU, http://spiegelmaschine.com with Steffen Terk, personal webpage https://alexander-hagg.github.io, find my at https://www.researchgate.net/profile/Alexander-Hagg

Happy to do a late announcement on my funded project on full domain analysis for fluid mechanics problems. The main use case is a climate adaptivity and city planning problem. I found three enthusiastic master students who will be working on quality diversity optimization, encodings for city planning problems, ensemble visualization of diverse flows and using machine learning for flow prediction.

https://www.h-brs.de/en/full-domain-analysis-fluid-mechanics

Full Domain Analysis for Fluid Mechanics

Artificial intelligence methods can efficiently help us understand aftermath requirements, constraints, and decision-making processes at an early stage. Algorithms are typically used in late stages of engineering development projects. We want to reverse this and show engineers early on which types of solutions meet their requirements.

Hochschule Bonn-Rhein-Sieg (H-BRS)
I wonder how many of my colleague scientists have made the same decision as I have: only doing (applied) research on topics that have to do with climate adaptation, energy and resource efficiency, etc, and preferring efficient algorithms instead of power-hungry large models? #climatecrisis
Intro: I am an evolutionary/optimization/ml researcher with big interest in efficient co-creative design processes, fluid dynamics, architecture, writing a sci-fi novel about AI/climate change/wherecoulditallleadto, and using generative models in art (project spiegelmaschine.com with a real artist). Happy to be at Mastodon and planning to slowly leave the twitterverse.