Auronda Scalera and Dr. Alfredo Cramerotti, an internationally recognized curatorial duo working at the intersection of ...

It is Meta’s next step toward achieving “advanced machine intelligence,” and could be useful in manufacturing automation, surveillance analytics, in-building logistics, robotics, and other more ...

Abstract: Modelling of contact-rich tasks is challenging and cannot be entirely solved using classical ... paper presents a data-driven control approach that employs a recurrent neural network to ...

Data analytics has ... time is critical, so predictive analytics is key for high-impact decisions. Teams charged with driving growth and improving financial lives use analytics to determine ...

The idealized assumption will limit the application of these methods. To address this problem, a data-driven model predictive control (DMPC) strategy is designed to stabilize the aperiodic ...

“We first developed a comprehensive data library of crop-specific irrigated and rainfed harvested areas for all countries,” Kebede said. “This involved two years of gathering data from ... available ...