Computer Sciences
Ising machines are unconventional computer architectures based on physics principles, named after the German physicist Ernst Ising. In recent years, they have been found to be particularly promising tools for solving combinatorial ...
Computer Sciences
Optimization problems involve the identification of the best possible solution among several possibilities. These problems can be encountered in real-world settings, as well as in most scientific research fields.
Electronics & Semiconductors
Combinatorial optimization problems are a class of hard computational problems that are commonly solved by computers for a variety of applications. Combinatorial optimization algorithms, for instance, allow economists to ...
Robotics
Robots are rapidly making their way into a variety of settings, including industrial and manufacturing facilities. So far, they have shown great potential for speeding up and automating a number of manufacturing processes ...
Electronics & Semiconductors
Over the past few years, many researchers have tried to develop techniques and technologies that can solve combinatorial optimization problems, which entail identifying an optimal item or solution within a set number of possibilities. ...
Computer Sciences
Edge computing is an innovative computing method that can enhance the efficiency of machine learning and other computational techniques by running fewer processes in the cloud and distributing the processing load across nearby ...
Computer Sciences
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 ...
Robotics
While humans can execute motions naturally and instantaneously, robots require advanced motion planning strategies in order to navigate their surroundings. Motion planning is thus a key area of robotics research, aimed at ...
Internet
A team of researchers at Avignon University has recently developed a system to automatically detect abuse in online communities. This system, presented in a paper pre-published on arXiv, was found to outperform existing approaches ...
Computer Sciences
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.
