Electronics engineers are continuously trying to develop thinner, more efficient and better performing transistors, the semiconductor devices at the core of most modern electronics. To do this, they have been evaluating the potential of a broad range of materials.
While artificial intelligence (AI) models are becoming increasingly advanced, training and running these models on conventional computer hardware is very energy consuming. Engineers worldwide have thus been trying to create alternative, brain-inspired hardware that...
Researchers at Universidad Autónoma de Madrid have recently created an innovative, AI-powered platform that could enhance remote learning, allowing educators to securely monitor students and verify that they are attending compulsory online classes or exams.
Simultaneous localization and mapping (SLAM) is a promising technology that can be used to improve the navigation of autonomous systems, helping them to map their surrounding environment and track other objects within it. So far, it has primarily been applied to...
Face recognition tools are computational models that can identify specific people in images, as well as CCTV or video footage. These tools are already being used in a wide range of real-world settings, for instance aiding law enforcement and border control agents in...
Magnetic random access memories (MRAMs), are among the most promising next-generation memory technologies. Their primary advantages over conventional computer memories and other emerging memory designs include their potential to achieve remarkably high speeds and...
To tackle global warming, engineers have been trying to develop increasingly advanced technologies that can generate and store electrical energy more sustainably. The most renowned among these technologies are solar cells, devices based on photovoltaic materials that...
While many automotive companies are now invested in the development of self-driving cars, the vehicles created so far have not yet attained the safety levels necessary for them to be deployed on a large-scale. For this to happen, the vehicles will need to be able to...
Over the past few decades, the performance of machine learning models on various real-world tasks has improved significantly. Training and implementing most of these models, however, still requires vast amounts of energy and computational power.
Hydrogels are three-dimensional (3D) polymer networks that do not dissolve in water but retain large amounts of liquids. Due to this advantageous property, hydrogels are particularly promising material platforms for both biomedical and environmental applications, as...