Abstract: In this work, a novel event-triggered iterative learning model predictive control (ILMPC) framework is developed for a class of linear systems subject to input saturation and initial shift.

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...

Producers at a Quirino Future Lab warn kids animation’s model is breaking as creator-led, YouTube-first studios reshaping financing and IP ownership.

While the Truman-era linear model had its time and place, its underlying assumptions must be reassessed toward laying the ...

The sales pipeline as we once knew it is dead, built for an era defined by linear buying journeys, limited access to information and clear decision hierarchies. ​It’s static by design, relying on ...

With fast-moving markets and new AI capabilities, agencies need to differentiate themselves by helping clients speed up ...

War and geopolitical instability are reshaping packaging, exposing the limits of traditional linear systems through supply ...

For the last 80 years, the theory of quantum electrodynamics (QED), which describes all electromagnetic interactions, has ...

I did the math to see how much a new fridge saves compared to a 10-year-old model, and how long it'll take to pay back the ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Pavan Kumar N R's engagement with regional cinema, student-led digital platforms and independent music production highlights a non-linear trajectory that reflects broader shifts in how emerging ...

Zenflow Work is an expansion of its AI orchestration platform designed to accelerate “everything around the code” today, so ...