R esearchers at the Massachusetts Institute of Technology (MIT) have made a new physics-based tool that can predict how ...

Melting of the Antarctic ice sheet due to global warming has long-term, irreversible societal impacts with important ...

The possibility that our entire universe merely exists inside a computer simulation is more than an idle science fiction ...

Optimal cue integration, Bayesian Causal Inference, spatial orienting, speech illusions and other key phenomena in audiovisual perception naturally emerge from the collective behavior of a population ...

A few days ago, I wrote about non-singular black hole models, specifically one known as the Hayward model. Since its introduction in 2006, several variations of the Hayward model have been introduced, ...

The PV Fault Detection System is an advanced real-time simulation and monitoring solution for photovoltaic panels in microgrids. This project combines Digital Twin technology with ...

The consortium running the European Space Agency's (ESA) Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms developed by UZH ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Sparse large language models (LLMs) based on the Mixture of Experts (MoE) framework have gained traction for their ability to scale efficiently by activating only a subset of parameters per token.

Introduction: Optimizing vancomycin dosing in neonates is a critical yet complex goal. Traditional trough concentration-based dosing strategies correlate poorly with therapeutic efficacy and often ...