The electrochemical reduction of carbon dioxide (CO2) into various multi-carbon products is highly desirable, as it could help to easily produce useful chemicals for a wide range of applications. Most existing catalysts to facilitate CO2 reduction are based on...
Researchers at Seoul National University have recently tried to train an artificial intelligence (AI) agent to create collages (i.e., artworks created by sticking various pieces of materials together), reproducing renowned artworks and other images. Their proposed...
In recent years, engineers and material scientists have been trying to create increasingly advanced battery technologies that are charged faster, last longer, and can store more energy. These batteries will ultimately play a crucial role in the advancement of the...
In recent years, roboticists have introduced increasingly advanced systems, which could open exciting new possibilities for surgery, rehabilitation, and health care assistance. These robotic systems are already helping to improve the quality of life of many people...
While most robots are initially tested in laboratory settings and other controlled environments, they are designed to be deployed in real-world environments, helping humans to tackle various problems. Navigating real-world environments entails dealing with high levels...
Researchers at Carnegie Mellon University and Google DeepMind recently developed RoboTool, a system that can broaden the capabilities of robots, allowing them to use tools in more creative ways. This system, introduced in a paper published on...
Transistors are crucial electronic components that regulate, amplify and control the flow of current inside most existing devices. In recent years, electronics engineers have been trying to identify materials and design strategies that could help to further improve...
Nature is the primary source of inspiration for many existing robotic systems, designed to replicate the appearance and behavior of various living organisms. By artificially reproducing biological processes, these robots can help tackle complex real-world problems...
Deep neural networks (DNNs) have proved to be highly promising tools for analyzing large amounts of data, which could speed up research in various scientific fields. For instance, over the past few years, some computer scientists have trained models based on these...
Computer simulations can greatly contribute to the study of new promising materials for technological applications. These include so-called phase-change materials (PCMs), substances that release or absorb thermal energy while melting and solidifying, which are...