Researchers at the University of Lorraine have recently devised a new type of transfer learning based on model-free deep reinforcement learning with continuous sensorimotor space enlargement. Their approach, presented in a paper published during the eighth Joint IEEE...
Researchers at the State University of New York in Korea have recently explored new ways to detect both machine and human-created fake images of faces. In their paper, published in ACM Digital Library, the researchers used ensemble methods to detect images created by...
Researchers at the University of Washington have recently developed a new technique to automate the synthesis of stochastic computing (SC) circuits. Their method, presented in a paper pre-published on arXiv, is based on stochastic synthesis, which is traditionally a...
Researchers at the Innovation and Enterprise Research Laboratory (The Magic Lab) of the University of Technology Sydney have proposed a new robotics architecture called fog robotics (FR). Their approach, outlined in a paper pre-published on arXiv, leverages the...
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...