Researchers at Northwestern University, McGill University, and the Indian Institute of Technology Kharagpur have recently developed a character level convolutional neural network (CNN) model that could help to detect abusive posts on Twitter. This model was found to...
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BinaryGAN: a generative adversarial network with binary neurons
Researchers at the Research Center for IT Innovation of Academia Sinica, in Taiwan, have recently developed a novel generative adversarial network (GAN) that has binary neurons at the output layer of the generator. This model, presented in a paper pre-published on...
A new coded caching scheme to improve online video delivery
Researchers at Imperial College London have developed a new method for coded caching that could improve the delivery of popular video content online. A research paper outlining their findings was pre-published on arXiv, outlining the technique and its performance in...
A new complex network-based approach to topic modeling
Researchers at Northwestern University, the University of Bath, and the University of Sydney have developed a new network approach to topic models, machine learning strategies that can discover abstract topics and semantic structures within text documents.
A new defensive technique could hold off attackers by making software buggier
Researchers at New York University have recently devised a new cyber defense technique, which works by adding so-called "chaff bugs," non-exploitable bugs, rather than eliminating existing ones. A pre-print version of their inventive study was uploaded to ArXiv last...
A new developmental framework could allow robots to optimize hyper-parameters autonomously
Researchers at Ecole Centrale de Lyon have recently devised a new developmental framework inspired by the long-term memory and reasoning mechanisms of humans. This framework, outlined in a paper presented at IEEE ICDL-Epirob in Tokyo and pre-published on arXiv, allows...
A new dynamic ensemble active learning method based on a non-stationary bandit
Researchers at the University of Edinburgh, University College London (UCL) and Nara Institute of Science and Technology have developed a new ensemble active learning approach based on a non-stationary multi-armed bandit and an expert advice algorithm. Their method,...
AI-assisted note-taking for electronic health records
Physicians currently spend a lot of time writing notes about patients and inserting them into electronic health record (EHR) systems. According to a 2016 study, doctors spend approximately two hours on administrative work for every hour spent with a patient. Thanks to...
Allusive machines: How new technologies could shape beliefs and theories about life
Two researchers at the IT University of Copenhagen have recently carried out a fascinating study that introduces the concept of "allusive machines," exploring how technical systems can persuade users into shaping their own beliefs, particularly beliefs related to the...
A model-free deep reinforcement learning approach to tackle neural control problems
Brian Mitchell and Linda Petzold, two researchers at the University of California, have recently applied model-free deep reinforcement learning to models of neural dynamics, achieving very promising results.