Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Hyundai-owned Boston Dynamics is also partnering with former owner Google's DeepMind on AI, in a full-circle moment for the ...

The 2026 Lucid Gravity has arrived and, in theory, should launch the automaker into the public consciousness because the ...

Abstract: We consider the problem of learning the dynamics of a linear system when one has access to data generated by an auxiliary system that shares similar (but not identical) dynamics, in addition ...

In the past, cams and pneumatic cylinders were the mainstays of motion control. While effective, these technologies were not very flexible. Today, engineers have myriad options that are fast, flexible ...

Data and code for the paper "Coherent streamflow variability in Monsoon Asia over the past eight centuries---links to oceanic drivers" ...

Implementing (in Python) and performing ablation studies for Chen and Poor's algorithm for learning mixtures of linear dynamical systems.

Abstract: Accurately detecting the transient signal of interest from the background signal is one of the fundamental tasks in signal processing. The most recent approaches assume the existence of a ...

Using highly sophisticated switching linear dynamical systems (SLDS) analyses applied to functional MRI data, this study provides important insights into network dynamics underlying threat processing.

The Linear Complementarity Models can be employed to analyze and simulate circuits with internal switching behavior. Power electronic converters can be considered as consisting of piecewise linear ...