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...
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.
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 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)...
Researchers at the University of Tartu's Computational Neuroscience Lab, in Estonia, have discovered that activations of deep convolutional neural networks are aligned with the gamma band activity of the human visual cortex. Their study, published in Communications...
A large group of researchers at Imperial College London, the University of Edinburgh, the University of Manchester, and Stanford University have recently collaborated on a project exploring the application of real-time localization and mapping tools for robotics,...
Every day, millions of users upload content on social media media platforms, including text, pictures and videos. While the creators of this content typically retain intellectual property (IP) rights once it is shared online, they often grant services hosting the...
Researchers at the AI Lab of Tsinghua University have recently developed an incremental encoder-based model that can generate story endings. An incremental encoder is a type of encoding compression algorithm that is often used to compress sorted data, such as lists of...
Could behavioural economics and machine learning help to better understand consumers' movie preferences? A team of researchers from the University of Cambridge, the University of West England, and the Alan Turing Institute dove deeper into this question, in a...
A team of researchers at RWTH Aachen University's Institute of Information Management in Mechanical Engineering have recently explored the use of neuroscience techniques to determine how information is structured inside artificial neural networks (ANNs). In their...