A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...

Abstract: This paper develops a unified stochastic modelling framework to capture the uncertainty and variability of load-shedding events in electric power systems. The approach combines discrete and ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

Base Theory: SDEs and Path Signatures: The technical details motivating much of the library's foundations. Neural Network Solvers: The technical details driving the implementation of the neural ...

This document describes the technical needs that have given rise to a Fund’s technical assistance (TA) project for the development of a customized structural micro-founded (DSGE) model in the Ministry ...

sde-sim-rs is a high-performance library for simulating stochastic differential equations (SDEs), which are foundational in fields like quantitative finance, physics, and biology. By leveraging the ...