Successful AI agents require enterprises to orchestrate interactions, manage shared knowledge and plan for failure.

AI algorithms are trained to observe patterns in large data sets to help predict outcomes. In Amazon’s case, its algorithm used all CVs submitted to the company over a ten-year period to learn how to ...

From arrays to trees, this guide makes data structures simple. Master the basics and start building smarter, faster code today.

Herein, a new out-degree based design structure is proposed for connected agents with directed topologies to collectively minimize the sum of individual objective functions and keep satisfying an ...

Proteins are among the most studied molecules in biology, yet new research from the University of Göttingen shows they can ...

In the coming years, small and medium-sized businesses must incorporate AI to remain competitive in an ever-changing business ...

The appropriate forecast for the CSO overflow ML model should be selected based on stakeholder objectives and the desired ...

Abstract: This paper investigates the optimal control of continuous-time multi-controller systems with completely unknown dynamics using data-driven adaptive dynamic programming ... HJB equation, a ...