Glossary

Automated Reasoning allows using advanced algorithms and logical structures in computers for problem-solving requiring human-like intelligence – proving mathematical solutions or deducing new data facts.

Autoencoders are artificial neural networks developed for unsupervised learning. They are vital for learning efficient data coding, especially when reducing dimensionality in unlabeled data.

Discover the power of Attention Mechanisms, vital in machine learning models for differential input weighing and prediction accuracy enhancements.