Efficiently processing broadband signals using convolutional neural networks (CNNs) could enhance the performance of machine learning tools for a wide range of real-time applications, including image recognition, remote sensing and environmental monitoring. However,...
TECHXPLORE
New transistors integrating high-k perovskite oxides and 2D semiconductors
Over the past decades, electronics engineers and material scientists worldwide have been investigating the potential of various materials for fabricating transistors, devices that amplify or switch electrical signals in electronic devices. Two-dimensional (2D)...
A reconfigurable robotic system for cleaning and maintenance
Reconfigurable or "transformer" systems are robots or other systems that can adapt their state, configuration, or morphology to perform different tasks more effectively. In recent years, roboticists and computer scientists worldwide have developed new autonomous and...
A thin sensor for computer vision based on a micro lens array (MLA)
Recent technological advances have enabled the creation of increasingly sophisticated sensors that can track movements and changes in real-world environments with remarkable levels of precision. Many engineers are now working to make these sensors thinner so that they...
A new robotic system for automated laundry
Researchers at University of Bologna and Electrolux have recently developed a new robotic system that could assist humans with one of their most common everyday chores, doing laundry. This system, introduced in a paper published in SpringerLink's Human-Friendly...
Using graph neural networks to measure the spatial homogeneity of road networks
Researchers at Purdue University and Peking University have recently carried out a study aimed at better understanding road networks in cities worldwide using machine-learning tools. Their paper, published in Nature Machine Intelligence, outlines the results of...
A new approach to reproduce human and animal movements in robots
In recent years, developers have created a wide range of sophisticated robots that can operate in specific environments in increasingly efficient ways. The body structure of many among these systems is inspired by nature, animals, and humans.
Adding energy cost information to energy-efficiency class labels could affect refrigerator purchases
To guide consumers in their choice of electrical appliances and devices, over a decade ago the European Union introduced an energy efficiency labeling scheme. This scheme gives potential buyers an idea of much electrical energy is consumed by different devices, so...
A new approach to improve the power control of wind farms
To slow down climate change and prevent its adverse consequences, humans will need to transition to more sustainable energy sources. Engineers worldwide have thus been working on a wide range of technologies that can convert natural resources, such as sunlight, wind,...
Study traces the origins and diffusion of image memes online
Memes, images or videos with text overlays that convey funny messages to specific audiences are a well-known global phenomenon. As they tend to rapidly circulate online and become viral quickly, memes are also sometimes included in marketing and social engagement...