The very first link shows that this is incremental benefit that’s been taking place since 2010. Computational tools are useful, but you’re providing mostly links of algorithms/learning models to sort pictures for medical purposes and diagnosis (useful and cool), and saying that somehow that means fusion will be solved by AI
I’m not saying we should exclude any tools, I’m just skeptical about the trend of calling everything AI, attributing all computational advances to AI, and jumping into the bandwagon of businesses trying to oversell any and all computating as AI.
Like if I go to Journal of Fusion Energy – https://link.springer.com/journal/10894 – the latest article is titled ‘Artificial Neural Network-Based Tomography Reconstruction of Plasma Radiation Distribution at GOLEM Tokamak’ and the 4th-latest is ‘Deep Learning Based Surrogate Model a fast Soft X-ray (SXR) Tomography on HL-2 a Tokamak’. I am sorry if that upsets you but that’s the way the field is.
Please give me the examples
https://www.frontiersin.org/research-topics/66705/the-future-of-oncology-digital-twins-and-precision-cancer-care
https://www.frontiersin.org/research-topics/66585/artificial-intelligence-based-multimodal-imaging-and-multi-omics-in-medical-research
https://www.frontiersin.org/research-topics/65016/deep-learning-for-industrial-applications
etc.: https://www.frontiersin.org/journals/artificial-intelligence/research-topics
https://www.nature.com/articles/s42256-024-00883-x
https://www.nature.com/articles/s42256-024-00882-y
https://engineering.princeton.edu/news/2024/02/21/engineers-use-ai-wrangle-fusion-power-grid
The very first link shows that this is incremental benefit that’s been taking place since 2010. Computational tools are useful, but you’re providing mostly links of algorithms/learning models to sort pictures for medical purposes and diagnosis (useful and cool), and saying that somehow that means fusion will be solved by AI
I’m mostly answering the question I was asked: what are some examples of technical research in the field.
How can we solve plasma control without AI? And why exclude that tool?
I’m not saying we should exclude any tools, I’m just skeptical about the trend of calling everything AI, attributing all computational advances to AI, and jumping into the bandwagon of businesses trying to oversell any and all computating as AI.
That’s just cosmetic stuff. Why care about what words people use?
Because the words people use are very very important.
Because that’s how you end up with dipshits calling federal funding of the CIA socialism.
Socialism is when the government does stuff. If it does a lot of stuff that’s communism.
That’s the least plausible slippery-slope argument I have heard this month.
And yet I can go to some TYT video or a DSA meeting and hear some dipshit lib say socialism is when the government does stuff IRL.
Hell, I can go find a few coworkers who say that too, and immediately follow it up with calling Kamala a communist and Biden a Maoist.
But I suppose that’s A-okay with you since
Like if I go to Journal of Fusion Energy – https://link.springer.com/journal/10894 – the latest article is titled ‘Artificial Neural Network-Based Tomography Reconstruction of Plasma Radiation Distribution at GOLEM Tokamak’ and the 4th-latest is ‘Deep Learning Based Surrogate Model a fast Soft X-ray (SXR) Tomography on HL-2 a Tokamak’. I am sorry if that upsets you but that’s the way the field is.