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> New AI tool calculates materials’ stress and strain based on photos Surely not - more accurately: New AI tool intuits materials’ stress and strain based on

> New AI tool calculates materials’ stress and strain based on photos Surely not - more accurately: New AI tool intuits materials’ stress and strain based on photos or New AI tool guesses materials’ stress and strain based on photos An experienced engineer could probably also guess roughly what shape the stress and strain gradients might take in a shape, but you wouldn't call such a guess 'calculation'.

LegitShady 6y ago
'estimates' This can be useful if you use it to automate review of regular inspection photos - you might be able to get the computer to recognize strain that would be hard to detect without a strain gauge.
ew6082 6y ago
Guesses poorly too, based on the examples. The crack growth example is almost laughable. These are nowhere close to where real cracks would form. Cracks start on the inside corner of brittle joints. The bar stretch is also completely wrong, there are no stress concentrations at the top and bottom; it should be uniform stress or concentrated strain in the center depending on what they're attempting to show.
- inglor_cz 6y ago
  The question is whether it can get better. Even small steps aggregate to great changes over time. First CGA monitors were bulky, energy hungry and blurry at the same time. 40 years of continuous development, and I am staring at a nice 4K screen that does not strain my eyes and is substantially more energy efficient.
anonytrary 6y ago
True, nothing stops me from wrapping a brick in a T-shirt and fooling the algorithm. Might be useful as a higher level classifer or bucketing heuristic.
r-zip 6y ago
Thank you for bringing sanity to the comment section. I'm getting really weary of all the "AI" snake oil (I'm a data scientist). There's no way that this will generalize to: 1. materials not in the training set 2. stresses substantially different from those in the training set So basically, it just memorizes a few patterns and can interpolate between the ones it's seen before. Big deal. A good rule of thumb for detecting this variety of bullshit is this: given infinite time and resources, would an intelligent enough human be able to perform the task given the input? In this case, the answer is probably no.

LegitShady 6y ago

'estimates' This can be useful if you use it to automate review of regular inspection photos - you might be able to get the computer to recognize strain that would be hard to detect without a strain gauge.

ew6082 6y ago

Guesses poorly too, based on the examples. The crack growth example is almost laughable. These are nowhere close to where real cracks would form. Cracks start on the inside corner of brittle joints. The bar stretch is also completely wrong, there are no stress concentrations at the top and bottom; it should be uniform stress or concentrated strain in the center depending on what they're attempting to show.

inglor_cz 6y ago
The question is whether it can get better. Even small steps aggregate to great changes over time. First CGA monitors were bulky, energy hungry and blurry at the same time. 40 years of continuous development, and I am staring at a nice 4K screen that does not strain my eyes and is substantially more energy efficient.

anonytrary 6y ago

True, nothing stops me from wrapping a brick in a T-shirt and fooling the algorithm. Might be useful as a higher level classifer or bucketing heuristic.

r-zip 6y ago

Thank you for bringing sanity to the comment section. I'm getting really weary of all the "AI" snake oil (I'm a data scientist). There's no way that this will generalize to: 1. materials not in the training set 2. stresses substantially different from those in the training set So basically, it just memorizes a few patterns and can interpolate between the ones it's seen before. Big deal. A good rule of thumb for detecting this variety of bullshit is this: given infinite time and resources, would an intelligent enough human be able to perform the task given the input? In this case, the answer is probably no.