Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

This fragmented approach may neglect the potential correlation and shared characteristics between compensation and reconstruction. Consequently, this article presents a novel nonlinear activation-free ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Tackling complex puzzles requires a different set of skills than simple writing tasks. Borrowing the non-linear techniques detectives use to organize data can help.

This article proposes a data-efficient model-free reinforcement learning (RL) algorithm using Koopman operators for complex nonlinear systems. A high-dimensional data-driven optimal control of the ...