Researchers at Oxford University have recently tried to recreate human thinking patterns in machines, using a language guided imagination (LGI) network. Their method, outlined in a paper pre-published on arXiv, could inform the development of artificial intelligence...
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Researchers develop a new system to detect abuse in online communities
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...
Autonomous visual inspection of large-scale infrastructures using micro aerial vehicles (MAVs)
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...
Researchers explore interactions between preschoolers and robotic partners
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...
Using deep learning to localize human eyes in images
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...
A new approach for unsupervised paraphrasing without translation
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...
Investigating the self-attention mechanism behind BERT-based architectures
BERT, a transformer-based model characterized by a unique self-attention mechanism, has so far proved to be a valid alternative to recurrent neural networks (RNNs) in tackling natural language processing (NLP) tasks. Despite their advantages, so far, very few...
Investigating robot illusions and simulations of reality
To evaluate the performance of robotics algorithms and controllers, researchers typically use software simulations or real physical robots. While these may appear as two distinct evaluation strategies, there is a whole other range of possibilities that combine...
Using artificial neural networks (ANNs) to predict bus arrival times
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...
Study highlights the potential of nanotube digital electronics
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...