Work
Classical music and white noise do not improve conflict processing–related cognitive functions
In the past, many neuroscientists have investigated the potential therapeutic value of classical music and other types of music or sounds for alleviating some of the symptoms or deficits associated...
A computing in-memory system based on stacked 3D resistive memories
Machine learning architectures based on convolutional neural networks (CNNs) have proved to be highly valuable for a wide range of applications, ranging from computer vision to the analysis of...
Using a GAN architecture to restore heavily compressed music files
Over the past few decades, computer scientists have developed increasingly advanced technologies and tools to store large amounts of music and audio files in electronic devices. A particular...
Bilayer tungsten diselenide transistors with ON-state current densities over 1.5 milliamperes per micrometer
2D semiconductors could have notable advantages over conventional bulk semiconductors, such as silicon. Most notably, their greater resistance to short-channel effects could make them particularly...
A deep learning framework to enhance the capabilities of a robotic sketching agent
In recent years, deep learning algorithms have achieved remarkable results in a variety of fields, including artistic disciplines. In fact, many computer scientists worldwide have successfully...
Microscopic carrier loss mechanisms in kesterite-based solar cells with a 12% efficiency
Kesterite Cu2ZnSn(S,Se)4 is an emerging and promising green photovoltaic material, as it is abundant on Earth, does not harm the environment, and has a stable structure, a great tunability and...
A strategy to improve perovskite absorbers for all-perovskite tandem solar cells
Tandem solar cells (TSCs), stacks of p-n junctions based on semiconductors with different bandgaps, are a highly promising energy solution that could help to reduce carbon emissions. Perovskites,...
A neural network–based strategy to enhance near-term quantum simulations
Near-term quantum computers, quantum computers developed today or in the near future, could help to tackle some problems more effectively than classical computers. One potential application for...
A reinforcement learning framework to improve the soccer shooting skills of quadruped robots
Researchers University of California, Berkeley (UC Berkeley), Université de Montréal and Mila have recently developed a hierarchical reinforcement learning framework to improve the precision of...
Aquabots: Ultrasoft liquid robots for biomedical and environmental applications
In recent years, roboticists have developed a wide variety of robotic systems with different body structures and capabilities. Most of these robots are either made of hard materials, such as metals,...