Mitsubishi Electric US, Inc., Industrial Automation Division announces the release of its new MELSEC MX Controller, a ...

Abstract: This paper presents a nonlinear model predictive control (NMPC) scheme based on sequential convex programming (SCP). We propose a modified SCP algorithm for nonlinear MPC that adaptively ...

Kicking off the POSSIBLE conference in Miami on Monday, Nielsen announced a new outcomes-based measurement capability called Predictive Sales Lift. The feature is designed to help media buyers predict ...

Most employee engagement strategies are reactive. A top performer resigns. A team misses targets. Productivity dips. Only then does leadership begin asking what went wrong. By that point, the damage ...

As ATE systems become increasingly complex and data-intensive, traditional rule-based optimization methods struggle to keep pace. In this Semicon Korea presentation, Cohu’s Wai-Kong Chen will be ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

Waiting for alerts is obsolete — predictive engineering lets cloud systems see trouble coming and fix it before users ever notice. For more than two decades, IT operations has been dominated by a ...

Objective: To evaluate and compare the performance of existing GDM prediction models constructed using AI algorithms and propose strategies for enhancing model generalizability and predictive accuracy ...

Can anyone remember their life before artificial intelligence (AI)? Many struggle with that, but what I do remember is how things worked in the business sector, especially in education.

Digital transformation is accelerating, and water systems are very quickly becoming the next frontier across the plumbing and mechanical sector. For decades, plumbing infrastructure has operated ...

Abstract: This article presents an adaptive generalized quasi-spectral model predictive convex programming (AGS-MPCP) framework for constrained guidance problems based on Gaussian orthogonal ...