[HN Gopher] Simulation Intelligence: Towards a New Generation of... ___________________________________________________________________ Simulation Intelligence: Towards a New Generation of Scientific Methods (2022) Author : fastneutron Score : 58 points Date : 2023-01-19 19:19 UTC (3 hours ago) (HTM) web link (arxiv.org) (TXT) w3m dump (arxiv.org) | fastneutron wrote: | Submission statement: I came across this article earlier today | and it hit home on a lot of things that have been swirling in my | head lately on the current direction of scientific computing | methods. I work in R&D in this space, and would be curious to | hear the perspectives of others on the methods surveyed in this | paper. | [deleted] | nathias wrote: | Thanks for sharing, this looks really interesting, the approaches | of including AI in theory of science are extremely interesting | and will potentially create a new scientific paradigms. Things | really are happening right now. | m0llusk wrote: | The idea of improving quality and relevance of simulations with | machine learning makes a lot of sense to me and seems like it | might help to avoid some of the problems that so called AI can | have where they draw dramatically incorrect conclusions from | large but flawed data sets. At the same time it seems like these | technologies could be used to jump to completely bizarre | conclusions that quickly become contaminated with imperfections, | distortions, and other analysis about data. In a way it seems | like this is starting to duplicate problems humans have with the | irregular borders between brilliance and madness. | fastneutron wrote: | From a pragmatic perspective, being able to use AI to | accelerate or otherwise enhance computations for science and | engineering has a pretty big value proposition. Being able to | turn around high fidelity calculations in a fraction of the | time would yield much better product designs and scientific | results. | | On the flip side, like you suggest, the cost of being wrong can | much higher than many current uses of AI. This is where | research into AI interpretability, robustness, and uncertainty | quantification can really help. | dr_dshiv wrote: | I read recently about Francis Bacon's scientific method. It was | not the modern method. It focused more on creating lists of | contrasting cases, focusing on inductive reasoning. Honestly, I | didn't entirely understand. Robert Hooke had a method, too, which | he described as a philosophical "superstructure." | | Some variety in how knowledge is automatically/systematically | developed seems important. ___________________________________________________________________ (page generated 2023-01-19 23:00 UTC)