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...
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Identifying deep network generated images using disparities in color components
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...
Using deep neural networks to hunt malicious TLS certificates
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...
Using machine learning to detect unreliable Facebook pages
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,...
A new approach for comparative document summarization via classification
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...
An evaluation of the accuracy-efficiency tradeoffs of neural language models
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...
Big Data Analytics to automatically detect events in smart cities
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...
Research explores the ethical implications of creating sentient and self-aware sexbots
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...
Urban swarms for autonomous waste management
Researchers at MIT Media Lab, the University of Pisa, and Université Libre de Bruxelles have recently explored the feasibility of using swarm robotic systems for autonomous waste management. Their approach, outlined in a paper pre-published on arXiv, applies...
Working toward partner-aware humanoid robot control
Researchers at the Italian Institute of Technology (IIT) have recently proposed a coupled-dynamics formalism and a new approach for exploiting helpful interactions with humanoid robots. Their paper, which was pre-published on arXiv, also presents a number of...









