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...
TECHXPLORE
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.
Teaching AI agents to type on a Braille keyboard
In recent years, computer scientists have developed artificial intelligence-based techniques that can complete a wide variety of tasks. Some of these techniques are designed to artificially replicate the human senses, particularly vision, audition and touch.
Chitrakar: A system that can transform images of human faces into drawings
Researchers at the TCS Robotics Research Lab in India have recently developed an artificial intelligence (AI) system that can automatically convert an image of a person's face into a recognizable non-self-intersecting loop, known as a Jordan curve. Subsequently, this...
Exploring the notion of shortcut learning in deep neural networks
Over the past few years, artificial intelligence (AI) tools, particularly deep neural networks, have achieved remarkable results on a number of tasks. However, recent studies have found that these computational techniques have a number of limitations. In a recent...
Exploring the potential of near-sensor and in-sensor computing systems
As the number of devices connected to the internet continues to increase, so does the amount of redundant data transfer between different sensory terminals and computing units. Computing approaches that intervene in the vicinity of or inside sensory networks could...
LUCIDGames: A technique to plan adaptive trajectories for autonomous vehicles
While many self-driving vehicles have achieved remarkable performance in simulations or initial trials, when tested on real streets, they are often unable to adapt their trajectories or movements based on those of other vehicles or agents in their surroundings. This...