Morning Overview on MSN

Rivian unveils self-driving chip and a $2,500 driver-assist pack

Rivian is betting that custom silicon and a relatively affordable software bundle can keep its electric trucks and SUVs on ...
Johns Hopkins University Applied Physics Laboratory

Johns Hopkins APL-Led Team Releases Predictive Space Weather Model to Public

A predictive space weather model developed by APL and partners that is designed to simulate how solar storms affect Earth is ...
Microgrid Knowledge

Beyond SCADA: Managing Operational Complexity in the Data Center Era

As global electricity demand surges driven by AI and data centers, microgrids are evolving into sophisticated, autonomous ...
The National InterestOpinion

AI Is About to Transform Nuclear Energy, and the United States Isn’t Ready

The convergence of nuclear technology and artificial intelligence is no longer a far-off possibility, but rather an ...
Automation World

AI-Driven Motion Control: How Machine Learning Optimizes Motors, Reduces Downtime and Cuts Energy Costs

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...
Medscape

AI Model May Help Predict Pediatric Sepsis Before Organ Dysfunction

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...
Frontiers

Intelligent Mechatronic Systems: Advances in Sensing, Control, and Integration for Next-Generation Automation

Mechatronic systems have evolved from traditional electromechanical devices into complex, intelligent, and interconnected systems that form the foundation ...
IEEE

Dual-Mode Model Predictive Control for Constrained Networked Control System With DoS Attacks and Disturbances

Abstract: A dual-mode model predictive control (MPC) strategy is tailored for a networked control system (NCS) operating in a constrained environment that is vulnerable to additive disturbances as ...
Forbes

Beyond Personalization: The Rise Of Predictive AI Personas

Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...
Frontiers

Conflict-based model predictive control for multi-agent path finding experimentally validated on a magnetic planar drive system

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...