NeSyCat Torch Launch
NeSyCat Torch is a differentiable tensor implementation of categorical semantics for neurosymbolic learning, extending ULLER to subsume classical, fuzzy, probabilistic, and neural systems under a single inductive definition of truth. It provides a missing link in NeSyCat by interpreting computational symbols via neural networks.
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- AnnouncementJun 17, 2026, 04:56 PM 90%
NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning
NeSyCat Torch is a differentiable tensor implementation of categorical semantics for neurosymbolic learning, extending ULLER to subsume classical, fuzzy, probabilistic, and neural systems under a single inductive definition of truth. It provides a missing link in NeSyCat by interpreting computational symbols via neural networks.
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