Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

When a student writes their first line of code and sees a computer respond, something powerful happens -- curiosity turns ...

CNC machining has long been the foundation of precision manufacturing, but the pace of change heading into 2026 is unlike anything seen before.

Abstract: The need for an explicit system model limits the applications of model predictive control (MPC). In this paper, two data-driven MPC algorithms are developed for the trajectory tracking ...

GenAI may be accelerating a developmental transition in how learners conceptualize programming itself.

For performance-driven marketers, local broadcast is indispensable, as it offers rare consistency in a chaotic media ecosystem, with the power to build brand, influence behavior, and drive conversions ...

Introduction You are tasked to lead a 40-truck convoy resupplying combat troops at the front during large-scale combat ...

Explore how robotics technology trends and automation robotics are transforming manufacturing, healthcare, and logistics with ...

Abstract: Dear Editor, This letter investigates a low-complexity data-driven adaptive proportional-integral-derivative (APID) control scheme to address the output tracking problem of a class of ...