Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Abstract: Nonlinear Model Predictive Control (NMPC) is a state-of-the-art approach for locomotion and manipulation which leverages trajectory optimization at each control step. While the performance ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

Theory guides teaching, patient care, and research. Most are unaware of psychiatry’s and medicine’s guiding theory. Their present reductionistic theory has been discarded by all other sciences.

Start with heat. Rising temperatures across MENA dry soils, weaken vegetation cover and expand desert margins. This is not merely a land-use problem; it is an atmospheric one. As soils desiccate, fine ...

Learn how convexity adjustments in bonds affect interest rates and prices using key formulas. Understand their importance in accurately predicting bond price changes.

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.

Chances are, you’ve seen clicks to your website from organic search results decline since about May 2024—when AI Overviews launched. Large language model optimization (LLMO), a set of tactics for ...

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: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...