A team of researchers at Avignon University has recently developed a system to automatically detect abuse in online communities. This system, presented in a paper pre-published on arXiv, was found to outperform existing approaches for detecting abuse and moderating...
A team of researchers at Luleå University of Technology, in Sweden, has developed a new framework for performing visual inspections of large 3-D infrastructures using fully autonomous micro aerial vehicles (MAVs). In their paper, pre-published on arXiv, they introduce...
The relationship between humans and robots has become the focus of an increasing number of research studies, in light of the approaching integration of robots within a variety of fields, including professional and educational contexts. An international and...
A team of researchers at China University of Geosciences and Wuhan WXYZ Technologies in China has recently proposed a new machine learning-based technique to locate people's eyes in images of their faces. This technique, presented in a paper published in Elsevier's...
In recent years, researchers have been trying to develop methods for automatic paraphrasing, which essentially entails the automated abstraction of semantic content from text. So far, approaches that rely on machine translation (MT) techniques have proved particularly...
Over the past decade or so, advances in machine learning have paved the way for the development of increasingly advanced speech recognition tools. By analyzing audio files of human speech, these tools can learn to identify words and phrases in different languages,...
Water and energy are closely linked, as current electricity generation methods often require water, and extracting water typically consumes energy. This connection between water and energy, also known as the "water-energy nexus," has been the focus of several...
Accurately predicting the arrival times of buses is of key importance, particularly in hectic urban environments. Providing people with efficient and timely transportation can discourage them from using private vehicles, consequently reducing both fuel consumption and...
Some experts in the field of electronics engineering have suggested that the use of silicon complementary metal-oxide semiconductors (CMOS) will start declining rapidly by the end of 2020. Despite their predictions, a class of alternative materials that can...
In recent years, researchers have developed deep neural networks that can perform a variety of tasks, including visual recognition and natural language processing (NLP) tasks. Although many of these models achieved remarkable results, they typically only perform well...