The idea of creating a spin-based quantum computer using quantum dots was first introduced by Daniel Loss and David Di Vincenzo in 1998. Since then, countless engineers and physicists worldwide have been trying to realize their vision using existing and newly...
TECHXPLORE
A diffractive neural network that can be flexibly programmed
In recent decades, machine learning and deep learning algorithms have become increasingly advanced, so much so that they are now being introduced in a variety of real-world settings. In recent years, some computer scientists and electronics engineers have been...
A highly performing transistor based on an inorganic metal halide perovskite
Transistors are electronic components that amplify and control the flow of electricity inside most existing electronic devices. Researchers at Pohang University of Science and Technology and the University of Electronic Science and Technology of China have recently...
New ferrocenium-based anion-exchange membranes for fuel cells
Anion exchange membranes (AEMs) are semipermeable fuel cell components that can conduct anions but reject cations and gases. This enables the partition of substances that could chemically react with one another, thus allowing the cells to operate properly.
Using Rubik’s cube to improve and evaluate robot manipulation
Researchers at University of Washington have recently developed a new protocol to train robots and test their performance on tasks that involve object manipulation. This protocol, presented in a paper published in IEEE Robotics and Automation Letters, is based on...
A new model to automatically detect and filter spam emails
Spam emails are undesired messages that are often sent to many random users in bulks. These messages can contain advertisements, but also phishing links or malware. The automatic filtering of emails and the identification of spam messages is highly advantageous, as it...
An indium oxide-based transistor created using atomic layer deposition
Over the past decades, engineers have created increasingly advanced and highly performing integrated circuits (ICs). The rising performance of these circuits in turn increased the speed and efficiency of the technology we use every day, including computers,...
Robotic telekinesis: Allowing humans to remotely operate and train robotic hands
Over the past few decades, computer scientists have developed increasingly advanced techniques to train and operate robots. Collectively, these methods could facilitate the integration of robotic systems in an increasingly wide range of real-world settings.
An approach to rapidly and efficiently improve the locomotion of legged robots
In recent years, roboticists have developed mobile robots with a wide range of anatomies and capabilities. A class of robotic systems that has been found to be particularly promising for navigating unstructured and dynamic environments are legged robots (i.e., robots...
Study highlights the potential of neuromorphic architectures to perform random walk computations
Over the past decade or so, many researchers worldwide have been trying to develop brain-inspired computer systems, also known as neuromorphic computing tools. The majority of these systems are currently used to run deep learning algorithms and other artificial...