Work
Theoretical interpretations of the pulsar timing data recently released by NANOGrav
The North American Nanohertz Observatory for Gravitational Waves (NANOGrav) is a gravitational-wave detector that monitors areas in the vicinity of Earth using a network of pulsars (i.e., clock-like...
A design to improve the resilience and electrical performance thin metal film based electrodes
Flexible electrodes, electronic components that conduct electricity, are of key importance for the development of numerous wearable technologies, including smartwatches, fitness trackers and health...
A deep learning technique to solve Rubik’s cube and other problems step-by-step
Colin G. Johnson, an associate professor at the University of Nottingham, recently developed a deep-learning technique that can learn a so-called "fitness function" from a set of sample solutions to...
Researchers examine how multilingual BERT models encode grammatical features
Over the past few decades, researchers have developed deep neural network-based models that can complete a broad range of tasks. Some of these techniques are specifically designed to process and...
A robot that allows users to virtually navigate remote environments
Two students who graduated from VR Siddartha Engineering College in Kanuru, India, have created a virtual telepresence robot that allows users to see what is happening in a remote location as if...
Researchers observe stationary Hawking radiation in an analog black hole
Black holes are regions in space where gravity is very strong—so strong that nothing that enters them can escape, including light. Theoretical predictions suggest that there is a radius surrounding...
A system that automatically generates comic books from movies and other videos
Over the past few years, computer scientists have created numerous computational techniques that can automatically generate texts, images and other types of data. These models are highly...
A public digital atlas of extreme wind speeds for wind energy applications
Over the past few decades, researchers have developed increasingly advanced technologies that convert natural sources into electrical energy through the use of solar cells and wind turbines....
A new framework for robotics applications that merges reservoir computing with origami
Reservoir computing is a highly promising computational framework based on artificial recurrent neural networks (RNNs). Over the past few years, this framework was successfully applied to a variety...
Researchers gather numerical evidence of quantum chaos in the Sachdev-Ye-Kitaev model
Over the past few years, many physicists worldwide have conducted research investigating chaos in quantum systems composed of strongly interacting particles, also known as many-body chaos. The study...