A team of researchers at Yale University, Virginia Tech, Temple University and Peking University has recently developed a new approach to enable the collaborative coexistence of cognitive radio (CR) networks over TV white space (TVWS). The term TVWS refers to unused...
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This assistive robot is controlled via brain-computer interface
Researchers at the University of Cassino and Southern Lazio, in Italy, have recently developed a cutting-edge architecture that enables the operation of an assistive robot via a P300-based brain computer interface (BCI). This architecture, presented in a paper...
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 pre-published on arXiv, uses a neural network with long short-term...
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. Their approach, presented in a paper pre-published on arXiv, is based on...
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 general algorithm that can automatically reassemble fragments of...
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 framework, outlined in a paper pre-published on arXiv, allows a...
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) signals, which are essentially recordings of the electrical activity of the...
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 approach, presented in a paper pre-published on arXiv, entails the use...
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., the sound of a bell, the flash of a light, etc.) after these two stimuli...
A new model introduces the concept of adaptive virtual organisms (VOs)
Researchers at the University of Bucharest have recently developed a compositional model for complex hardware-software binding. Their model, outlined in a paper pre-published on arXiv, introduces the notion of a "virtual organism" (VO) that resides somewhere between...









