

Integrative AI often relies on combined models of multiple AI techniques and there are many ways to create those models and the algorithms that act on them.
Datalog rewriter for defeasible multi-relational Contextualized Knowledge Repositories in OWL RL
In Deep Micro-Dictionary Learning and Coding Networks fundamental convolutional layers are replaced by novel compound dictionary learning and coding layers.
A solver the HEX language which combines Logic Programming with Python-based plugins.
A new loss function for self-supervised representation learning, which is based on the whitening of the latent space features.
The Lyrics framework injects logic knowledge into a learner using Semantic Based Regularization
A Python library that integrates machine learning with constraint optimization using the AI Domain Definition Language.