Work
A ferroelectric ternary content-addressable memory to enhance deep learning models
Most deep-learning algorithms perform well when trained on large sets of labeled data, but their performance tends to decline when processing new data. Researchers worldwide have thus been trying to...
A framework for AI-powered agile project management
Researchers at the University of Wollongong, Deakin University, Monash University and Kyushu University have developed a framework that could be used to build a smart, AI-powered agile project...
A framework to estimate and control leg trajectories of a quadrupedal microrobot
A team of researchers at Harvard University and Wyss Institute for Biologically Inspired Engineering has recently developed a computationally efficient framework for the estimation and control of...
A friction reduction system for deformable robotic fingertips
Researchers at Kanazawa University have recently developed a friction reduction system based on a lubricating effect, which could have interesting soft robotics applications. Their system, presented...
A generative memory approach to enable lifelong reinforcement learning
A key limitation of existing artificial intelligence (AI) systems is that they are unable to tackle tasks for which they have not been trained. In fact, even when they are retrained, the majority...
Researchers achieve quantum control of an oscillator using a Josephson circuit
Superconducting circuits, which have zero electrical resistance, could enable the development of electronic components that are significantly more energy-efficient than most chips used today....
A new approach for modeling central pattern generators (CPGs) in reinforcement learning
Central pattern generators (CPGs) are biological neural circuits that can produce coordinated rhythmic outputs without requiring rhythmic inputs. CPGs are responsible for most rhythmic motions...
Researchers violate Bell’s inequality with remotely connected superconducting qubits
The efficient generation of entanglement between remote quantum nodes is a crucial step in securing quantum communications. In past research, entanglement has often been achieved using a number of...
A deep learning technique to generate real-time lip sync for live 2-D animation
Live 2-D animation is a fairly new and powerful form of communication that allows human performers to control cartoon characters in real time while interacting and improvising with other actors or...
A new method to enable robust locomotion in a quadruped robot
One of the key challenges for robotics research is the development of effective and resilient control systems, which allow robots to navigate a variety of environments and deal with unexpected...