Researchers at the University of Porto in Portugal and KTH Royal Institute of Technology in Sweden have recently developed a framework that can estimate the depth and relative pose of two ground robots that are collaborating on a given task. Their framework, outlined...
Recombination, the rearrangement of genetic materials as a result of mating or of combining segments of DNA from different organisms, has numerous evolutionary advantages. For instance, it allows organisms to remove deleterious mutations from their genomes and take on...
Researchers at Taif University, Birzeit University and RMIT University have developed a new approach for software fault prediction (SFP), which addresses some of the limitations of existing machine learning SFP techniques. Their approach employs feature selection (FS)...
Two researchers at the University of St. Andrews, in Scotland, have recently developed a new machine learning-based method for understanding images of ancient coins. Their study, pre-published on arXiv applies computer vision and machine learning to ancient numismatics.
An unconventional company called HumanMachine has recently devised a unique theatre production called Improbotics, which involves both human performers and machines. This is the latest of a series of projects and initiatives that merge the world of theatre with...
Could behavioural economics and machine learning help to better understand consumers' movie preferences? A team of researchers from the University of Cambridge, the University of West England, and the Alan Turing Institute dove deeper into this question, in a...
Researchers at the University of Twente and CNRS have recently carried out a study that explores the relationship between users' opinions and the personalized recommendations they receive online. In their paper, which was pre-published on arXiv, they proposed a model...
A team of researchers at RWTH Aachen University's Institute of Information Management in Mechanical Engineering have recently explored the use of neuroscience techniques to determine how information is structured inside artificial neural networks (ANNs). In their...
Researchers at the FZI Research Center for Information Technology have developed a new method that could improve the motion planning of autonomous vehicles within uncertain environments or in conditions of limited visibility. Their paper, pre-published on arXiv,...
Researchers at the Royal Institute of Technology (KTH) and National Oceanography Centre have recently used behavior trees (BTs) to design modular, versatile, and robust control architectures for critical missions. Their study, pre-published on arXiv, specifically...