Deep neural networks (DNNs) have so far proved to be highly promising for a wide range of applications, including image and audio classification. Nonetheless, their performance heavily relies on the amount of data used to train them, and large datasets are not always...
Network science is an academic field that aims to unveil the structure and dynamics behind networks, such as telecommunication, computer, biological and social networks. One of the fundamental problems that network scientists have been trying to solve in recent years...
In recent years, machine learning algorithms have attained remarkable results in a variety of tasks, including the classification of both images and audio files. A class of algorithms that has proven to be particularly promising are deep neural networks (DNNs) that...
In order for robots to be used in a wide variety of settings, they need to be able to communicate seamlessly with humans. In recent years, researchers have thus been developing increasingly advanced computational models that could allow robots to process human...
Neuromorphic computing entails building architectures inspired by elements of the human brain, such as neural organization and synapses. These architectures have proved to be highly promising and advantageous for a number of applications, as they can have both memory...
In recent years, many research teams worldwide have been developing and evaluating techniques to enable different locomotion styles in legged robots. One way of training robots to walk like humans or animals is by having them analyze and emulate real-world...
Robots that are made of flexible materials that can be inflated have a number of desirable properties, including their light weight and high levels of compliance (i.e. the ability to undergo elastic deformation). These qualities make them ideal for completing tasks in...
Scientific texts, such as research articles or reviews, can sometimes be difficult to analyze and understand, particularly for non-expert readers. In recent years, engineers have thus tried to develop approaches that can automatically extract the most important...
Researchers at Konkuk University in South Korea recently created KUBeetle-S, a flying robot inspired by a species of horned beetle called Allomyrina dichotomy, which is among the largest insects on the planet. Allomyrina dichotomy weighs approximately 5 to 10 g and...
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 edge devices (i.e., edge nodes). This...