Entrepreneur Frank Giaoui has spent decades at the intersection of law, technology and economics, and discusses the benefits ...
Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning ...
Abstract: Converter-based microgrids are modern decentralized energy systems that integrate distributed energy resources, communication networks, and control systems. They manage energy generation, ...
“Industrial AI must start with trusted data,” said Steve Mason, COO of Canary Labs. “Our historian has long been the foundation for operational visibility. By natively integrating with SORBA.ai’ SORBA ...
This useful study supplements previous publications of willed attention by addressing a frontoparietal network that supports internal goal generation. The evidence is solid in analyzing two datasets ...
A machine learning model for prediction of preeclampsia risk using routinely collected data was feasible among pregnancies in ...
In the past few years, edge artificial intelligence (AI) has moved beyond experimental pilots and into real deployments ...
Abstract: Model predictive control (MPC) techniques in machine drives typically rely on the necessity of a preknown accurate mathematic model. However, the strong time-varying characteristics of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results