Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

Most independent rappers don’t fail because the music is bad. They fail because they don’t understand the first 24 hours. Spotify’s Release Radar isn’t automatic, and it isn’t luck. Release Radar is ...

Parents may have more influence than they realize when it comes to shaping their children's behavior, especially for those at higher genetic risk for conduct problems, according to Rutgers Health-led ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: In social network analysis, the opinion maximization (OM) problem aims to locate several nodes as a seed set, which starts the information propagation and achieves the most positive opinion ...

A UNSW Sydney mathematician has discovered a new method to tackle algebra's oldest challenge—solving higher polynomial equations. Polynomials are equations involving a variable raised to powers, such ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...