The availability of large volumes of data is a key requirement in the development of efficient, robust, and advanced machine learning based prediction models. This paper introduces the ImageNet ...

In July 2025, we introduced the Sapient Hierarchical Reasoning Model (HRM), a hierarchical, brain-inspired model that achieves deep reasoning with minimal data.

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model Journal: Physical Review X Published: 2024-07-01 DOI: 10.1103/physrevx.14.031001 Affiliations: 2 Authors: 5 Go to article ...

Roman Geiselhart, Daniel Bergmann, Jens Niemeyer, Jörg Remele, Knut Graichen, Hierarchical Predictive Control of a Combined Engine/Selective Catalytic Reduction System with Limited Model Knowledge, ...