From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...

Lithuanian science is gaining recognition on the global stage. This year, 6 researchers from Kaunas University of Technology (KTU) were ranked among ...

Physics-based machine learning unlocks 3D printing potential, thanks to work from Lehigh University's Parisa Khodabakhshi.

Nonlinear optical microscopy enables intrinsic optical sectioning, label-free contrast, and deep-tissue imaging, and as such ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Solving an equation means finding the value or values for which the two expressions on each side of the equals sign are equal. One of the most common methods used to solve equations is the balance ...

A number machine is a way of writing rules using a flow diagram. The equation \(3j - 6 = 9\) can be shown on a number machine by writing out the functions that have been applied to \(j\) in the order ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

Abstract: This letter proposes a novel complex-valued nonlinear function (CVNF) approximation method for adaptive nonlinear filter, which is used to digitally cancel the weak nonlinearity, a commonly ...