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ETH mathematician Juan Gamella has built special miniature laboratories that can be used as test beds for new AI algorithms.
The mini-labs are built around well-understood physics, so that researchers can use this knowledge to check whether their algorithms arrive at the correct solution for a variety of problems.
If an AI fails the test, researchers can make targeted improvements to the underlying mathematical assumptions and algorithms.
Causality research and causal AI are a key area of statistics and theoretical computer science.
For AI models to function reliably and correctly, they should understand causal relationships.
Causal AI refers to AI models that recognize cause-and-effect relationships.
New statistical methods are needed to develop causal AI .
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