Transistors, semiconducting devices that regulate, amplify and generate the flow of electrical current, are central components of most electronics. Electronics engineers have been trying to develop increasingly smaller transistors, as this could support the...
TECHXPLORE
An adaptive artificial cochlea that could enhance the performance of hearing aids
In recent years, electronics engineers have developed a wide range of systems inspired by human and animal biology. By closely replicating complex biological processes, these systems could ultimately tackle numerous real-world problems more reliably and effectively.
A worm-inspired robot based on an origami structure and magnetic actuators
Bio-inspired robots, robotic systems that emulate the appearance, movements, and/or functions of specific biological systems, could help to tackle real-world problems more efficiently and reliably. Over the past two decades, roboticists have introduced a growing...
A software package to ease the use of neural radiance fields in robotics research
Neural radiance fields (NeRFs) are advanced machine learning techniques that can generate three-dimensional (3D) representations of objects or environments from two-dimensional (2D) images. As these techniques can model complex real-world environments realistically...
Study tests the potential of two quantum machine learning algorithms for malware classification
Over the past decades, cyber attackers have become increasingly skilled at compromising systems and circumventing security measures. As a result, detecting and accurately identifying malware is a pressing challenge for many businesses and individuals worldwide.
A model that can realistically insert humans into images
The recent advent of generative models, computational tools that can generate new texts or images based on the data they are trained on, opened interesting new possibilities for the creative industries. For example, they allow artists and digital content creators to...
A new approach for map densification in visual place recognition
Visual place recognition (VPR) is the task of identifying the location where specific images were taken. Computer scientists have recently developed various deep learning algorithms that could effectively tackle this task, letting users know where within a known...
Self-healable and crack-resistant hydrogel microfibers inspired by spider silk
In recent years, material scientists have been creating new materials with a variety of advantageous properties that could enhance the performance of different technologies and devices. This includes hydrogel-based fibers and artificial skins, which could help to...
A technique to spin soft functional fibers for smart textiles and wearable devices
In recent years, material scientists have been trying to develop soft and flexible fibers that could be used to create new electronics. These fibers could, for example, be used to create smart sensing clothes, energy solutions, and wearable biometric devices.
A programmable surface plasmonic neural network to detect and process microwaves
AI tools based on artificial neural networks (ANNs) are being introduced in a growing number of settings, helping humans to tackle many problems faster and more efficiently. While most of these algorithms run on conventional digital devices and computers, electronic...