This AI Model Can Intuit How the Physical World Works

Researchers have developed an AI system that learns about the world via videos and demonstrates a notion of “surprise” when ...
Tech Xplore on MSN

Fully digital design paves the way for scalable probabilistic computing

Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer ...
eLife

Multiscale dynamical characterization of cortical brain states: from synchrony to asynchrony

We conclude that brain states are shaped by local circuit mechanisms, large-scale connectivity and neuromodulation. A unified multiscale theory of cortical dynamics is relevant not only for ...
IEEE

On the Regret of Model Predictive Control With Imperfect Inputs

Abstract: Implementing model predictive control (MPC) in practice faces many subtle but prevalent problems, including modeling errors, solver errors, and actuator faults. In essence, the real control ...
IEEE

Robust Deadbeat Predictive Current Control of Permanent Magnet Linear Synchronous Machines Based on Time-Varying Asymmetric Model

Abstract: In permanent magnet linear synchronous machines, the longitudinal end effect gives rise to the manifestation of asymmetric and time-varying characteristics. When employing the model-based ...