A team of researchers at NVIDIA has recently developed WaveGlow, a flow-based network that can generate high-quality speech from melspectrograms, which are acoustic time-frequency representations of sound. Their method, outlined in a paper pre-published on arXiv, uses...
Over the past few years, journalists and politicians have often highlighted the presence of state-sponsored online trolls with the mission of swaying public opinion on particular issues. Researchers at Cyprus University of Technology, UCL, University of Alabama at...
Researchers at the University of Pompeu Fabra, Cardiff University and the Technical University of Madrid used machine-learning algorithms to discover new things about the history of music.
Researchers at China University of Petroleum (CUP), in Beijing, have recently developed a new method for multiplayer violence detection based on deep 3-D convolutional neural networks (CNNs). Their method was presented in a paper published in ICNCC 2018: Proceedings...
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 features. They presented and outlined their...
Researchers at the University of Porto in Portugal and KTH Royal Institute of Technology in Sweden have recently developed a framework that can estimate the depth and relative pose of two ground robots that are collaborating on a given task. Their framework, outlined...
Recombination, the rearrangement of genetic materials as a result of mating or of combining segments of DNA from different organisms, has numerous evolutionary advantages. For instance, it allows organisms to remove deleterious mutations from their genomes and take on...
Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. Their approach employs feature selection (FS)...
Two researchers at the University of St. Andrews, in Scotland, have recently developed a new machine learning-based method for understanding images of ancient coins. Their study, pre-published on arXiv applies computer vision and machine learning to ancient numismatics.
Social robots are designed to communicate with human beings naturally, assisting them with a variety of tasks. The effective use of gestures could greatly enhance robot-human interactions, allowing robots to communicate both verbally and non-verbally.