Person re-identification entails the automated identification of the same person in multiple images from different cameras and with different backgrounds, angles or positions. Despite recent advances in the field of artificial intelligence (AI), person...
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A global motion-planning approach based on local experiences
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 developing tools and techniques that allow...
A hierarchical RNN-based model to predict scene graphs for images
Researchers at Shanghai University have recently developed a new approach based on recurrent neural networks (RNNs) to predict scene graphs from images. Their approach includes a model made up of two attention-based RNNs, as well as an entity localization component.
All-perovskite tandem solar cells with 24.8% efficiency
A team of researchers at Nanjing University in China and the University of Toronto in Canada have recently fabricated all-perovskite tandem solar cells (PSCs), a type of solar cell with a key perovskite structured component. These new solar cells, presented in a paper...
A method for self-supervised robotic learning that entails setting feasible goals
Reinforcement learning (RL) has so far proved to be an effective technique for training artificial agents on individual tasks. However, when it comes to training multi-purpose robots, which should be able to complete a variety of tasks that require different skills,...
A method to introduce emotion recognition in gaming
Virtual Reality (VR) is opening up exciting new frontiers in the development of video games, paving the way for increasingly realistic, interactive and immersive gaming experiences. VR consoles, in fact, allow gamers to feel like they are almost inside the game,...
A method to reduce the number of neurons in recurrent neural networks
A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions from data. Their approach, presented in a...
A model for posture adaptation of legged robots while navigating confined spaces
Multi-legged robots are capable of navigating a variety of complex and unstructured terrains. Their many degrees of freedom allow them to adapt their walking posture to navigate several challenging environments, including confined spaces.
A model to classify cyberattacks using swarm intelligence
In recent years, new technological advances have led to a growing number of devices, ranging from more conventional computers to other gadgets and smart home appliances, communicating and sharing data with one another. Despite its advantages, this growing...
A model to determine the impact of DDoS attacks using Twitter data
Distributed denial of service (DDoS) attacks, which are designed to prevent legitimate users from accessing specific network systems, have become increasingly common over the past decade or so. These attacks make services such as Facebook, Reddit and online banking...