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 people with no visual impairments to complete simple tasks, such as...
TECHXPLORE
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 manufacturing processes by substituting or assisting human workers on...
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 artificially replicating them particularly challenging.
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 complex and sophisticated, which makes interpreting what they learned and...
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, published in Nature Machine Intelligence, could ultimately aid the...
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 devices. Magnetization switching could be achieved by inducing a phenomenon...
A model that can create unique Chinese calligraphy art
Over the past few years, computer scientists have developed increasingly advanced and sophisticated artificial intelligence (AI) tools, which can tackle a wide variety of tasks. This includes generative adversarial networks (GANs), machine-learning models that can...
A framework to evaluate the cognitive capabilities of machine learning agents
Over the past decade or so, computer scientists have developed machine learning (ML) techniques that perform remarkably well on a variety of tasks. While these algorithms are designed for artificially replicating human cognitive skills, there is still a lack of tools...
A new strategy to implement XY entangling gates in superconducting qubit architectures
Over the past decade or so, research teams worldwide have been trying to develop devices and hardware components for quantum information processing. The performance of most of these emerging devices depends in great part on optimized circuit implementations that can...
NEMS IDs: Secure nanoelectromechanical tags for identification and authentication
In recent years, hackers have become increasingly good at counterfeiting identification and authentication tags. This has led to an increase in cases of identity theft, fraud, security breaches and other concerning privacy or security related incidents.