Work
An electronically tunable metasurface that rotates polarization
Researchers at the University of Michigan and City University of New York have recently proposed and experimentally validated a transparent, electronically tunable metasurface. This metasurface,...
An end-to-end imitation learning system for speed control of autonomous vehicles
Researchers at Valeo, a tech company specialized in automotive innovation, have recently developed an end-to-end imitation learning system for car speed control. Their approach, outlined in a paper...
A neurorobotics approach for building robots with communication skills
Researchers at the Okinawa Institute of Science and Technology have recently proposed a neurorobotics approach that could aid the development of robots with advanced communication capabilities....
A new algorithm for solving archaeological puzzles
A team of researchers at Technion and the University of Haifa have developed a new computer vision approach for solving archaeological puzzles. In their paper, pre-published on arXiv, they introduce...
A new approach for steganography among machine learning agents
Researchers at the University of Wisconsin-Madison and Amherst College have recently introduced a new form of steganography in the domain of machine learning called "training set camouflage." Their...
A new deep learning model for EEG-based emotion recognition
Recent advances in machine learning have enabled the development of techniques to detect and recognize human emotions. Some of these techniques work by analyzing electroencephalography (EEG)...
A new framework to predict spatiotemporal signal propagation in complex networks
Past studies have found that a variety of complex networks, from biological systems to social media networks, can exhibit universal topological characteristics. These universal characteristics,...
A new genetic algorithm for traffic control optimization
Researchers at the University of Technology Sydney and DATA61 have recently developed a new method for optimizing the timing of signals in urban environments under severe traffic conditions. Their...
A new memristor-based neural network inspired by the notion of associative memory
Classical conditioning is a psychological process through which animals or humans pair desired or unpleasant stimuli (e.g., food or a painful experiences) with a seemingly neutral stimulus (e.g.,...
A new metric to capture the similarity between collider events
Researchers at the Massachusetts Institute of Technology (MIT) have recently developed a metric that can be used to capture the space of collider events based on the earth mover's distance (EMD), a...