Researchers from Apple and EPFL Introduce the Boolformer Model: The First Transformer Architecture Trained to Perform End-to-End Symbolic Regression of Boolean Functions

The optimism that deep neural networks, particularly those based on the Transformer design, will speed up scientific discovery stems from their contributions to previously intractable problems in computer vision and language modeling. However, they still need help to handle more complex logical problems. The combinatorial structure of the input space in these tasks makes it […]

The post Researchers from Apple and EPFL Introduce the Boolformer Model: The First Transformer Architecture Trained to Perform End-to-End Symbolic Regression of Boolean Functions …

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