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, pre-published on arXiv, provide interesting new...
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Researchers develop a dynamic keyboard character recognition system
Researchers at NIT Silchar, India, have recently developed a new dynamic hand-gesture-based keyboard character recognition system. This virtual keyboard system, presented in a paper published in Springer's Journal of Ambient Intelligence and Humanized Computing, uses...
A new approach to discover visual patterns in art collections
Researchers at UC Berkeley and Ecole des Ponts Paris Tech have recently developed a deep learning approach for discovering recurring visual patterns in art collections. Their paper, pre-published on arXiv, will be presented at CVPR 2019, a renowned computer vision...
Investigating the implications of social robots in religious contexts
Researchers at Siegen University and Würzberg University, in Germany, have recently carried out a study investigating the user experience and acceptability associated with the use of social robots in religious contexts. Their paper, published in Springer's...
A new approach allows robots to attract passersby without causing them discomfort
Researchers at NTT Corporation in Japan have recently developed a user-centered reinforcement learning approach that could be used to teach 'manners' to social robots. Their method, outlined in a paper pre-published on arXiv, allows a robot to greet or attract the...
Study explores the meaning of humanoid sex robots
In recent years, sex dolls have become increasing sophisticated and realistic in their resemblance to human beings, including mechanized components, and are thus now referred to as humanoid sex robots. Some media outlets have gone as far as to suggest that sex robots...
A new approach to address food security issues after natural disasters
Researchers at Colorado State University (CSU) have developed an approximate dynamic programming approach to improve the food security of communities affected by natural disasters. Their work exploring methods to aid community recovery spans several papers. Their most...
A technique to improve machine learning inspired by the behavior of human infants
From their first years of life, human beings have the innate ability to learn continuously and build mental models of the world, simply by observing and interacting with things or people in their surroundings. Cognitive psychology studies suggest that humans make...
Using machine learning to generate persuasive faces for ads
Researchers from the University of Pittsburgh have recently developed a conditional variational autoencoder that can produce unique faces for advertisements. Their study is grounded on their previous work, which explored automated methods of better understanding...
A web application to extract key information from journal articles
Academic papers often contain accounts of new breakthroughs and interesting theories related to a variety of fields. However, most of these articles are written using jargon and technical language that can only be understood by readers who are familiar with that...