Geographical Gaussian Process Regression (GGPR): A Spatial Machine Learning Model Based on Spatial Similarity: defined as A-Xing Zhu et al. (2018): "The more similar geographic configurations of two ...

To run the Race Car example execute: main_singletrack.m A Gaussian process is used to learn unmodeled dynamics $$x_{k+1} = f_d(x_k,u_k) + B_d * ( GP(z_k) + w ...

Abstract: A novel method is proposed for forecasting the capacity of lithium-ion battery cells. The method uses a Gaussian Process Regression model, a machine learning framework. Besides the high ...

Abstract: Gaussian process regression (GPR) models are becoming increasingly tightly integrated into robotic systems, particularly in the context of robot model predictive control (MPC) operating in ...

Want to DIY a perfect model of a local landmark to sit on your shelf in a 'dry snow globe' style? Now you can with a ...

Nvidia’s paper on its ArtFixer tool begins with a line that is absolutely incomprehensible if you’re not already AI-pilled: ...

To harness biological systems (plants and microbes) for next-generation energy production and advanced materials, researchers ...

Venture investors poured more than $3 billion into world model startups in 2026, betting AI that can simulate the physical ...

A drifter is a buoyant surface float tethered to a weighted sea anchor, called a drogue, that hangs about 50 feet (15 meters) below the surface. The anchor lets the float track the water’s motion ...

Astronomers identify 613 dual pulse events in the solar corona, enhancing understanding of plasma activity and magnetic ...