Computer Sciences

Using Spotify data to predict what songs will be hits

Two students and researchers at the University of San Francisco (USF) have recently tried to predict billboard hits using machine-learning models. In their study, pre-published on arXiv, they trained four models on song-related ...

Internet

Simulating quantum many-body systems on Amazon Web Services

Quantum many-body systems (QMBs), which are physical systems made up of multiple interacting particles, are among the most challenging structures to reproduce in numerical simulations. In the past, researchers have attempted ...

Computer Sciences

A deep learning technique for context-aware emotion recognition

A team of researchers at Yonsei University and École Polytechnique Fédérale de Lausanne (EPFL) has recently developed a new technique that can recognize emotions by analyzing people's faces in images along with contextual ...

Internet

Study explores interactions between world leaders on social media

Researchers at the University of Southern California (USC) have recently carried out a study investigating the interactions among different world leaders and influential political figures on social media. Their findings, ...

Computer Sciences

A new genetic algorithm for traffic control optimization

Researchers at the University of Technology Sydney and DATA61 have recently developed a new method for optimizing the timing of signals in urban environments under severe traffic conditions. Their approach, presented in a ...

Computer Sciences

SPFCNN-Miner: A new classifier to tackle class-unbalanced data

Researchers at Chongqing University in China have recently developed a cost-sensitive meta-learning classifier that can be used when the training data available is high-dimensional or limited. Their classifier, called SPFCNN-Miner, ...

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