Results 231 to 240 of about 1,423 (254)
Some of the next articles are maybe not open access.

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Nature Machine Intelligence, 2021
Lu Lu, Pengzhan Jin, Guofei Pang
exaly  

Experimental quantum key distribution certified by Bell's theorem

Nature, 2022
Kirill Ivanov   +2 more
exaly  

Automated Theorem Proving with Disjunctive Constraints

1999
Automated theorem proving (ATP) is an important research area in artificial intelligence. The objective of an ATP system is to find out whether or not a query (or goal) is a logical consequence of a set of axioms (the query and the axioms have to be formally specified, for example in first-order clause logic).
openaire   +2 more sources

Automated Theorem Proving and Machine Learning

In this thesis, we present a framework for Automated Theorem Proving called plCoP, which builds on theleanCoP system and adds machine learning-guided Monte Carlo TreeSearch.
openaire   +1 more source

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