Abstract: Traditional thermal balance relies on artificial experience or simple control algorithms, which is difficult to adapt to complex heating networks and dynamic user needs. In this paper, a ...

The financial landscape of 2026 is defined by a paradox: machine learning systems are now more powerful and autonomous than ever, yet they operate under the strictest regulatory scrutiny in history.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

This article was co-authored with Emma Myer, a student at Washington and Lee University who studies Cognitive/Behavioral Science and Strategic Communication. In today’s digital age, social media has ...

Abstract: Maglev planar motor (MLPM) is a new kind of 6 degree-of-freedom (6-DOF) motor, which has attracted extensive attention, because it is very promising in precision and ultra-precision ...