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...
Computer Sciences
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 map management process for visual localization in outdoor environments
Researchers at ETH Zürich's Autonomous Systems Lab have recently developed a map management process for visual localization systems, specifically designed for operations in outdoor environments involving several vehicles. Their study, presented at this year's...
A new method to instill curiosity in reinforcement learning agents
Several real-world tasks have sparse rewards and this poses challenges for the development of reinforcement learning (RL) algorithms. A solution to this problem is to allow an agent to autonomously create a reward for itself, making rewards denser and more suitable...
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...
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...
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.
Analyzing book reading behavior on Goodreads to predict Amazon Bestsellers
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...
An emotional deep alignment network (DAN) to classify and visualize emotions
Researchers at the Polish-Japanese Academy of Information Technology and Warsaw University of Technology have developed a deep alignment network (DAN) model to classify and visualize emotions. Their method was found to outperform state-of-the-art emotion...









