Quantum many-body systems (QMBs), which are physical systems made up of multiple interacting particles, are among the most challenging structures to reproduce in numerical simulations. In the past, researchers have attempted to simulate these systems using a variety...
Researchers at the Bristol Robotics Laboratory and the University of Bristol have recently developed a new soft robotic skin-like sensor that is based on fluidic transmission. This sensor, presented at the second IEEE International Conference on Soft Robotics...
Optical illusions, images that deceive the human eye, are a fascinating research topic, as studying them can provide valuable insight into human cognition and perception. Researchers at Flinders University, in Australia, have recently carried out a very interesting...
In recent years, a growing number of researchers have explored the use of robotic arms or dexterous hands to solve a variety of everyday tasks. While many of them have successfully tackled simple tasks, such as grasping or basic manipulation, complex tasks that...
Researchers at MIT Media Lab have developed a wearable platform that provides real-time, personalized, and context-aware health and cognition support. Their system, called personalized active learner (PAL), was presented in a paper pre-published on arXiv.
Researchers at Chongqing University in China have recently developed a cost-sensitive meta-learning classifier that can be used when the training data available is high-dimensional or limited. Their classifier, called SPFCNN-Miner, was presented in a paper published...
Recent advancements in robotics have enabled the development of systems to assist humans in a variety of tasks. A type of robotic system that has gained substantial popularity over the past few years is wearable robotic arms remotely operated by a third party.
Researchers at Deakin University and the University of Hong Kong have recently designed a hybrid green architectural wall system for high-rise buildings that integrates a vertical micro-farm and a media screen. They presented this wall, called PixelGreen, in a paper...
Researchers at NVIDIA, University of Washington, Stanford University, and University of Illinois Urbana-Champaign have recently developed a Rao-Blackwellized particle filter for 6-D pose tracking, called PoseRBPF. The approach can effectively estimate the 3-D...
Researchers at ETH Zürich and the University of Bologna have recently created PULP Dronet, a 27-gram nano-size unmanned aerial vehicle (UAV) with a deep learning-based visual navigation engine. Their mini-drone, presented in a paper pre-published on arXiv, can run...