Do Your AI Models Know What Day It Is?

For each AI system making operational decisions in your organization, what does it know about the world outside your own data ...
AZoBuild

ANN-Based Lighting Control Cuts Energy Use in Intelligent Buildings

A real-world smart office study shows how neural network lighting control can reduce energy use and support adaptive building ...
Tech Xplore

An AI-powered control system for robots with legs

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

Noteefy Acquires Metolius Golf To Boost Course Operations Platform

Noteefy has acquired Metolius Golf in a pairing that combines Noteefy's demand optimization tools with Metolius' intelligence ...
Semiconductor Engineering

Observability Is A Missing Layer In AI-Era Chiplet Design

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
IEEE

Optimization of Model Predictive Control for Autonomous Vehicles Through Learning-Based Weight Adjustment

Abstract: Model Predictive Control (MPC) method is widely used in autonomous vehicle control technology. The adjustment of MPC weights is crucial for optimizing its control performance, ensuring ...
IEEE

Model-Free Predictive Current Control for PMSMs Based on a Physics-Informed Recurrent Neural Network

Abstract: Model-free predictive current control (MFPCC) based on the ultra-local model addresses the high parameter sensitivity characteristic of conventional model predictive current control (MPCC).