Work
A retina-inspired device that can detect and recognize movements in the environment
Devices that can automatically detect and recognize moving objects have numerous valuable applications, for instance, enhancing remote environmental monitoring. Most existing motion detection and...
NeatNet: A model that can learn people’s tidying up preferences
As robots become increasingly advanced and affordable, more people could start introducing them into their homes. Many roboticists have thus been trying to develop systems that can effectively...
A new model that automatically generates movie trailers
Trailers, short video clips that introduce new movies, are often crucial elements in the promotional strategies employed by film production companies. To be most effective, trailers should briefly...
Möbius strip microlasers for non-Euclidean photonics applications
Photonics is a branch of technology development that specializes in the creation of devices that can generate, detect or manipulate light. Recently, researchers at Université Paris-Saclay coined a...
Study predicts the behavior of a Kondo cloud in a superconductor
In recent years, many physicists worldwide have been investigating the behavior of hybrid nanostructures. These are systems that are typically made up of two or more materials. Special attention in...
A deep learning method to automatically enhance dog animations
Researchers at Trinity College Dublin and University of Bath have recently developed a model based on deep neural networks that could help to improve the quality of animations containing quadruped...
A Q-learning algorithm to generate shots for walking robots in soccer simulations
RoboCup, originally named the J-League, is an annual robotics and artificial intelligence (AI) competition organized by the International RoboCup Federation. During RoboCup, robots compete with...
A soft magnetic pixel robot that can be programmed to take different shapes
Magnetic soft robots are systems that can change shape or perform different actions when a magnetic field is applied to them. These robots have numerous advantageous characteristics, including a...
Study explores the origin of clonal dominance in excitable cell networks
Clonal dominance is a phenomenon that occurs when descendants (i.e., clones) of one or more founder cells in an organism contribute disproportionally to the system's final structure as the tissue...
A deep learning technique for global field reconstruction with sparse sensors
Developing methods to accurately reconstruct spatial fields using data collected by sparse sensors has been a long-standing challenge in both physics and computer science. Ultimately, such methods...