Work
The long-range transport of deconfined magnetic hedgehogs
Spintronics is an emerging area of research that aims to develop devices that transmit, process and store information leveraging the intrinsic angular momentum of electrons, known as spin. A key...
A technique that allows robots to estimate the pose of objects by touching them
Humans are able to find objects in their surroundings and detect some of their properties simply by touching them. While this skill is particularly valuable for blind individuals, it can also help...
Exploring the role of competitive brain processes in artistic cognition
For many years, neuroscientists worldwide have been trying to understand the neural and cognitive processes underpinning artistic expression. While past findings have identified a number of brain...
An algorithm for optimizing the cost and efficiency of human-robot collaborative assembly lines
Robots are rapidly making their way into a variety of settings, including industrial and manufacturing facilities. So far, they have shown great potential for speeding up and automating a number of...
Evolvable neural units that can mimic the brain’s synaptic plasticity
Machine learning techniques are designed to mathematically emulate the functions and structure of neurons and neural networks in the brain. However, biological neurons are very complex, which makes...
Bound-charge engineering: A new strategy to develop nanowire transistors
In recent years, physicists and electronic engineers have been trying to identify materials that could be used to fabricate new types of electronic devices. One-dimensional (1-D) and two-dimensional...
Concept whitening: A strategy to improve the interpretability of image recognition models
Over the past decade or so, deep neural networks have achieved very promising results on a variety of tasks, including image recognition tasks. Despite their advantages, these networks are very...
The realization of a single-quantum-dot heat valve
While many research teams worldwide are trying to develop highly performing quantum computers, some are working on tools to control the flow of heat inside of them. Just like conventional computers,...
A framework to assess the importance of variables for different predictive models
Two researchers at Duke University have recently devised a useful approach to examine how essential certain variables are for increasing the reliability/accuracy of predictive models. Their paper,...
The demonstration of exchange bias switching in antiferromagnet/ferromagnet structure
The identification of effective methods to manipulate both magnetization and exchange bias in thin antiferromagnet/ferromagnet films could facilitate the development of new types of spintronic...