Organic photovoltaics, solar energy devices based on organic semiconductors, have so far achieved very promising results in experimental settings, both in terms of efficiency and stability. However, engineers have not yet devised reliable strategies to fabricate these...
Recent advancements in the field of machine learning (ML) have greatly improved the quality of automatic translation tools. At present, these tools are primarily used to translate basic sentences, as well as short texts or unofficial documents.
Electronics engineers worldwide are trying to improve the performance of devices, while also lowering their power consumption. Tunnel field-effect transistors (TFETs), an experimental class of transistors with a unique switching mechanism, could be a particularly...
Virtual reality (VR) and augmented reality (AR) headsets are becoming increasingly advanced, enabling increasingly engaging and immersive digital experiences. To make VR and AR experiences even more realistic, engineers have been trying to create better systems that...
A team of researchers from University of Illinois at Urbana-Champaign and Stanford University led by Prof. Katie Driggs-Campbell, have recently developed a new deep reinforcement learning-based method that could improve the ability of mobile robots to safely navigate...
Recent technological advancements are opening new and exciting opportunities for communicating with others and visiting places remotely. These advancements include telepresence robots, moving robotic systems that allow users to virtually navigate remote environments...
Researchers at Tokyo Metropolitan University have created a robotic system that could automate the cleaning of restrooms in convenience stores and other public spaces. This system, introduced in a paper published in Advanced Robotics, will be competing in the...
Visual effects (VFX) can help to make videogames more engaging and immersive for players. However, they are often also designed to support players, for instance, by pointing them to specific locations or highlighting helpful game features.
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. For instance, GANs have been successfully...
Researchers at the Hybrid Robotics Group at UC Berkeley, Simon Fraser University and Georgia Institute of Technology have recently created a reinforcement learning model that allows a quadrupedal robot to efficiently play soccer in the role of goalkeeper. The model...