To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

A computer model developed by researchers from Japan and Seattle's Allen Institute could lead to new methods for studying ...

Simulation-driven firmware development decouples code from hardware constraints, enabling earlier testing and faster delivery ...

Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...

Dave Gray has put together a pretty solid free Python video tutorial that clocks in at around 9 hours. It came out in 2023, ...

Discover the secrets to generating random numbers in Python using the NumPy library. Unleash the full potential of your code ...

Abstract: In this article, the finite-time distributed aggregative optimal consensus (DAOC) problems for multivehicle systems (MVSs) with multiple time-varying constraints are investigated. First, we ...

Multi-Architecture Coupled Ensemble Physics-Informed Neural Networks (MACE-PINN) for solving coupled partial differential equations. Implements parallel subnetworks with Fourier embeddings and ...

Abstract: This article investigates the finite-time switching control issue based on switched observer for networked discrete implicit systems under dynamic event-triggered protocol (DETP) and ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

In this example, we demonstrate how to model power electronics devices that perform current control using MathWorks products, focusing on: The modeling style introduced in this example is not a ...