Quantum Acceleration For Frontier AI: Does It Cut The Cost Of Training?

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
IEEE

Data-Driven Optimal Output Regulation for Continuous-Time Linear Systems via Internal Model Principle

Abstract: The data-driven techniques have been developed to deal with the output regulation problem of unknown linear systems by various approaches. In this article, we first extend an existing result ...
EurekAlert!

Decades-old mathematical theorem extended to unbounded linear systems for the first time

Yosra Barkaoui’s doctoral dissertation in mathematics at the University of Vaasa, Finland, has successfully generalised a fundamental theorem that has been limited to the bounded case. The research ...
IEEE

MPC for Linear Systems With Concave Inequality Constraints and Convexification Loss Analysis

Abstract: In this article, we propose a model predictive control (MPC) algorithm using sequential convex programming (SCP) to address concave inequality constraints. Based on traditional SCP, we ...
Live Science

AI is solving 'impossible' math problems. Can it best the world's top mathematicians?

When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. In October 2024, news broke that Facebook parent company Meta had cracked an "impossible" problem ...