Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

The strength model of willpower enjoys both supporters and critics, earning both influence and critique since its development in the mid-'90s. It is often cited in discussions around psychology’s ...

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 ...

Abstract: In this paper, we consider the design of model predictive control (MPC) algorithms based on deep operator neural networks (DeepONets) (Lu et al. 2021). These neural networks are capable of ...

The social model of disability frames disability as something that is created by society, rather than only by medical conditions or physical differences. The model acknowledges that people have ...

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Zohar Bronfman is the cofounder and CEO of Pecan AI, a predictive analytics platform making advanced AI accessible to business teams. For decades, predictive analytics was a capability largely ...

Abstract: This paper addresses the longitudinal control problem of an on-ramp vehicle merging into a platoon on the main road. To tackle this challenge, a finite-time model predictive control (MPC) ...