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in plain language: they've made a statistical model that predicts curie temperature based on a few data points; the researchers justly called it ML, the hype hu
by akomtu 3y ago
in plain language: they've made a statistical model that predicts curie temperature based on a few data points; the researchers justly called it ML, the hype hunrgy copywriters called it AI (it helps to lie a little to get more clicks and show more ads). Edit: it would be AI if that model, after a day long analysis of the raw data, came up with a new principle explaining this data, and wrote down a formula with some explanations.
- haltist 3y agoLinear 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.
- potatoman22 3y agoDoes the distinction between AI and ML really matter outside of AI/ML research?
- akomtu 3y agoML is a discipline, like engineering, and AI is a product with certain characteristics, like a spaceship. Our engineering isn't good enough yet to build a spaceship.
- beardedwizard 3y agoI had a similar reaction, a better headline (to me) is researchers use statistics to predict superconducting magnetic metals. So sick of AI headlines now.
- pyinstallwoes 3y agoAnd another group called it statistics, and another one cybernetics. Oh the joy.