AI Models Are Starting to Learn by Asking Themselves Questions

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Dot Physics on MSN

Python physics simulation: Modeling rigid objects with springs

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

AI river forecasts may be accurate, but based on flawed logic

Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British ...
IEEE

ANN-Assisted Model Predictive Control Method for IPMSM Drive Using Torque-Deviations Mapping

Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
BMJ Open

Development and evaluation of a diagnostic aiding tool for differentiating tropical fevers using artificial intelligence approach: a study protocol from tertiary care hospital ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
IEEE

Adaptive Moment Estimation-Based Model Predictive Control for PMSM Motor With Low Tracking Error

Abstract: To address the tracking error issue in finite control set model predictive control (FCS-MPC) systems, this article proposes an online optimization MPC ...