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...
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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...
A model to improve robots’ ability to hand over objects to humans
For decades, researchers worldwide have been trying to develop robots that can efficiently assist humans and work alongside them as they tackle a variety of everyday tasks. To do this effectively, however, the robots should be able to interact naturally with humans,...
The risks of attacks that involve poisoning training data for machine learning models
A growing number of studies suggest that machine learning algorithms can leak a considerable amount of information included in the data used to train them through their model parameters and predictions. As a result, malicious users with general access to the algorithm...
Using deep learning to predict users’ superficial judgments of human faces
Many psychology studies have confirmed the biased nature of human judgments and decision-making. When interacting with a new person, for instance, humans often make a series of automatic and superficial judgments based solely on their appearance, facial features,...
Fabricating qubits using advanced semiconductor manufacturing processes
Quantum computers are promising computing machines that perform computations leveraging the collective properties of quantum physics states. These computers could help to tackle many computational problems that are currently intractable with conventional computers.