Researchers at Northwestern University, Microsoft Research India, and the Indian Institute of Technology Kharagpur have recently developed a model to predict whether a book will become a bestseller on Amazon within 15 days of its publication. Their model, outlined in...
Researchers at UC Davis have recently developed a new machine learning based tool to verify multimedia rumors online. Their paper, pre-published on arXiv, proposes cross-lingual and cross-platform features for rumor verification, which leverage the semantic similarity...
Researchers at Stanford have recently explored the use of machine learning to measure the severity of depressive symptoms by analyzing people's spoken language and 3-D facial expressions. Their multi-model method, outlined in a paper pre-published on arXiv, achieved...
Researchers at Shenzhen University have recently devised a method to detect images generated by deep neural networks. Their study, pre-published on arXiv, identified a set of features to capture color image statistics that can detect images generated using current...
A team of researchers at Cyxtera Technologies has recently proposed a neural network-based method for identifying malicious use of web certificates. Their approach, outlined in a paper published in ACM Digital Library, uses the content of transport layer security...
A growing number of companies and individuals worldwide are creating Facebook pages for marketing and advertising purposes. This is because Facebook offers the possibility to communicate to potential or existing customers free of charge, advertising new products,...
Researchers at the Australian National University (ANU) have recently carried out a study exploring extractive summarization in comparative settings. The term 'extractive summarization' defines the task of selecting a few highly representative articles from a large...
A team of researchers at the University of Waterloo in Canada has recently carried out a study exploring accuracy-efficiency tradeoffs of neural language models (NLMs) specifically applied to mobile devices. In their paper, which was pre-published on arXiv, the...
With a growing number of devices connected to the internet and countless people sharing their live experiences online, a huge amount of useful data is being generated every minute. The analysis of this data could improve the dissemination and understanding of...
So far, robots have primarily been developed to fulfill utilitarian purposes, assisting humans or serving as tools to facilitate the completion of particular tasks. As robots become more human-like, however, this could pose significant challenges, particularly for...