CUDA programming has been a valuable component in the Nvidia ecosystem since 2006 and is a linchpin in the company's AI ...

The United States leads in quantum research and education, offering diverse programs that blend physics, computer science, mathematics and engineering ...

The top 20 spring courses with the highest enrollment numbers continue to be STEM dominated — even if the number of CS classes represented went done.

FinTech Magazine examines quantitative finance, where mathematics revolutionises trading, risk management and investment strategies ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

This asynchronous online bridge course is specifically designed to help students satisfy the linear algebra admissions requirements for Michigan Tech's Online MS in Applied Statistics, an innovative ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

Our method, that is based on Model Predictive Control (MPC) advances the PnP design procedure proposed in [1] in several directions. Notably, we show how critical steps in the design of a local ...

popularly known as model predictive control (MPC), has long been recognized as the winning alternative for constrained systems. The main limitation of MPC is, however, its online computational ...

After passing the course the student has obtained an understanding of the basic concepts of linear algebra. He/she has theoretical understanding of linear systems, least squares problems and ...

HMM inference is done with either expectation maximization (EM) or stochastic gradient descent (SGD). For SLDS, we use stochastic variational inference (SVI). Here's a snippet to illustrate how we ...