Insects typically have a variety of complex exoskeleton structures, which support them in their movements and everyday activities. Fabricating artificial exoskeletons for insect-inspired robots that match the complexity of these naturally-occurring structures is a key...
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FoodTracker: An AI-powered food detection mobile application
A research team at McGill University in Canada has developed a mobile application that can recognize food items inside an overall meal in real-time, providing useful nutrition-related information. The team outlined the new mobile application, called FoodTracker, in a...
From motion to emotion: The potential of robot swarms in artistic performances
Researchers at the Georgia Institute of Technology have recently carried out an interesting study exploring how motion and shape descriptors that are associated with particular emotions can be incorporated into swarm behaviors to create evocative artistic expositions....
Circular all-or-nothing: A new approach to protect data from key exposure
A team of researchers at Telecom ParisTech has developed a new method to protect encrypted data against key exposure. Their algorithm, presented in a paper pre-published on arXiv, transforms, fragments and disperses data so that it remains protected, unless all...
CycleMatch: a new approach for matching images and text
Researchers at Leiden University and the National University of Defense Technology (NUDT), in China, have recently developed a new approach for image-text matching, called CycleMatch. Their approach, presented in a paper published in Elsevier's Pattern Recognition...
DeepCrack: a new hierarchical CNN-based method for crack segmentation
Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, researchers have been trying to develop...
DeepWiTraffic: A Wi-Fi based traffic monitoring system using deep learning
A team of researchers at the University of Memphis has recently developed a low-cost and portable traffic monitoring system (TMS) called DeepWiTraffic. This new system, presented in a paper pre-published on arXiv, combines Wi-Fi devices and deep learning.
Defense against wireless attacks using a deep neural network and game theory
A growing number of devices are now connected to the internet and are capable of collecting, sending and receiving data. This interconnection between devices, referred to as the Internet of Things (IoT), poses serious security threats, as cyberattackers can now target...
A swarm robotics approach inspired by behavior observed in microorganisms
Many animals and microorganisms are able to complete complex tasks, such as finding food or building nests, as a team, or "swarm." One of the most obvious examples of this is bees, as their survival as a group heavily depends upon cooperation with other members of...
A system to automatically detect and collect garbage
Numerous countries worldwide are currently facing major problems related to waste collection, particularly in urban areas, due to the large amount of waste generated daily by the population. Technology could play a significant role in tackling these issues, for...