Abstract: Learning self-supervised visual correspondence is a long-studied task fundamental to visual understanding and human perception. However, existing correspondence methods largely focus on ...

Abstract: Servo control systems exhibit strong coupling among multiple control parameters, posing dual challenges of efficiency and stability during optimization. Traditional parameter tuning ...

Add Decrypt as your preferred source to see more of our stories on Google. Hermes Agent saves every workflow it learns as a reusable skill, compounding its capabilities over time—no other agent does ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...