Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Despite rapid robotic automation advancements, most systems struggle to adapt their pre-trained movements to dynamic ...

AI systems now operate on a very large scale. Modern deep learning models contain billions of parameters and are trained on ...

Researchers develop an adaptive motion system that allows robots to generate human-like movements with minimal data ...

The critical role of data centers in sustaining global economic health and societal function has been widely acknowledged and ...

A recent review concluded that artificial intelligence (AI) is revolutionising cardiology by transforming clinical practice.

Abstract: MPC has gained popularity for its ability to satisfy constraints and guarantee robustness for certain classes of systems. However, for systems whose dynamics are characterized by a high ...

Abstract: The high-performance tracking control of steering angle for steer-by-wire (SBW) system is foundation of vehicle driving safety. However, the variable steering load will reduce the tracking ...

This research from Keio University leverages Gaussian process regression, enabling robots to intuitively adjust grip based on object properties and stiffness.

To meet emerging regulatory expectations, AI governance in financial services must incorporate two complementary structural disciplines: architecture and topology. Architecture explains system design.

Market opportunities include leveraging advancements in AI and machine learning to enhance microbiome data analysis, ...