The purpose of this course is to explore collective decision making from an algorithmic point of view. We study settings where groups of agents need to make a joint decision by aggregating preferences ...

Abstract: Intelligent optimization algorithms are currently the mainstream methods for solving engineering design problems. This paper conducts a comprehensive analysis of the performance of five ...

Abstract: Support Vector Machine (SVM) is a new machine learning technology developed based on statistical learning theory. It has a solid theoretical foundation, superior learning ability and good ...

Modern AI research requires mastering dozens of specialized tools and frameworks. AI Researchers spend more time debugging infrastructure than testing hypotheses ...

WIRED is obsessed with what comes next. Through rigorous investigations and game-changing reporting, we tell stories that don’t just reflect the moment—they help create it. When you look back in 10, ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

However, in scenarios such as video conferencing, face recognition, and group photography, eyeglass wearers frequently ...

From market cap to ETF weightings, these visuals show how much the Magnificent 7 shape today’s market. Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various ...