Deep learning models have proved to be highly promising tools for analyzing large numbers of images. Over the past decade or so, they have thus been introduced in a variety of settings, including research laboratories.
Computer Sciences
Simultaneous broadband image sensing and convolutional processing using van der Waals heterostructures
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,...
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 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...
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,...
A new approach to tackle optimization problems using Boltzmann machines
Ising machines are unconventional computer architectures based on physics principles, named after the German physicist Ernst Ising. In recent years, they have been found to be particularly promising tools for solving combinatorial optimization (CO) problems and create...
Silicon FinFETs hosting hole spin qubits at temperatures over 4 Kelvin
The idea of creating a spin-based quantum computer using quantum dots was first introduced by Daniel Loss and David Di Vincenzo in 1998. Since then, countless engineers and physicists worldwide have been trying to realize their vision using existing and newly...