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...
A team of researchers at the University of Luxembourg have developed a new feasible and efficient defense system for unmanned aerial vehicles (UAV). Their system, outlined in a paper pre-published on arXiv, consists of a defense UAV swarm that can self-organize its...
Synthetic biology is a relatively new area of research that could significantly impact a number of fields, including biology, nanofabrication and medicine. A primary challenge in this emerging field is that of embedding computation in molecular contexts, in situations...
The ability to represent and manipulate numerical quantities can be observed in many species, including insects, mammals and humans. This suggests that basic quantitative reasoning is an important component of intelligence, which has several evolutionary advantages.
Researchers at the University of Geneva have recently developed a new defense mechanism that works by bridging machine learning with cryptography. The new system, outlined in a paper pre-published on arXiv, is based on Kerckhoffs' second cryptographic principle, which...
Automated program repair (APR) is an emerging field of research that sets out to develop methods of fixing software bugs automatically, without intervention by human programmers. After development, APR techniques are typically evaluated on several benchmarks,...
Researchers at the University of Texas at Arlington have recently explored the use of machine learning for emotion recognition based solely on paralinguistic information. Paralinguistics are aspects of spoken communication that do not involve words, such as pitch,...
Researchers at the Electronics and Telecommunications Research Institute (ETRI) in South Korea have recently developed a neural network model that can generate sequences of co-speech gestures. Their model, trained on 52 hours of TED talks, successfully produced...