Projects per year
Can scientific evidence outstretch what scientists have mentally entertained, or could ever entertain? This article focuses on the plausibility and consequences of an affirmative answer in a special case. Specifically, it discusses how we may treat automated scientific data-gathering systems - especially AI systems used to make predictions or to generate novel theories - from the point of view of confirmation theory. It uses AlphaFold2 as a case study.
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© 2023, The Author(s), under exclusive licence to Springer Nature B.V.
- Artificial intelligence
- Deep neural networks
- Machine learning