Linear and logistic regression are also AI. Language models do not come up with new principles and ideas but they're still called AI. The AI these days is just

Linear and logistic regression are also AI. Language models do not come up with new principles and ideas but they're still called AI. The AI these days is just a marketing term for "we took some data and fit a curve to it". In this case I think the application of optimization to predict material properties is a very good use case for AI. AI after all is basically regression scaled up with lots of variables and large data sets. Anything with well defined inputs and outputs should be using "AI" to reduce human effort in uncovering statistical patterns that can accelerate research and development. Material science and drug chemistry are obvious use cases. Compiler optimization is another one but I haven't yet seen any real effort for optimizing software development with AI other than copilots for code completion.