Brain-computer interfaces have seen a large influx of research in an effort to allow precise and accurate control of physical systems. By measuring brain signals and implementing a clever feedback scheme, researchers from India and the UK have reduced the positional error in brain-controlled robot arms by a factor of 10, paving the way to greatly enhancing the quality of life for people suffering from strokes and neuro-muscular disorders.
Which is more important in the initial phase of a pandemic: taking precautionary actions or responding to its severity? That is the question that researchers from SUTD set out to address in an article published in BioEssays.
A research team from North Carolina A&T State University has, for the first time, designed a cloud-based autonomous system framework utilizing the standard messaging protocol for the internet-of-things (IoT). This framework is robust to network-denied environments by utilizing each vehicle, along with a clustering algorithm, to maximize the network coverage area.
Distributed systems are becoming more and more essential in everyday life. From power plants to autonomous vehicles, modular, interconnected systems, colloquially referred to as Cyber-Physical Systems (CPS), provide crucial services and capabilities while being technologically cost effective. Researchers have developed a novel control architecture that defends complex, interconnected systems previously vulnerable to cyberattacks.
Based on a quantum cascade laser (QCL) emitting mid-infrared light, the researchers developed a basic optical neuron system operating 10,000× faster than biological neurons. Their report is published in Advanced Photonics.
As much of Europe is engulfed by a second wave of Covid-19, and track and trace struggles to meet demand, modelling support tools are being increasingly used by policymakers to make key decisions. Most notably, models have been used to predict the Covid-19 R0 rate - the average rate of secondary infections from a single infection, which has formed the basis for many lockdown decisions across the UK.
Tiny movements in Earth's outermost layer may provide a Rosetta Stone for deciphering the physics and warning signs of big quakes. New algorithms that work a little like human vision are now detecting these long-hidden microquakes in the growing mountain of seismic data.
Scientists from the Japan Advanced Institute of Science and Technology have created a mathematical model combining aspects from psychology and the physics of motion to objectively analyze the appeal of games and its evolution throughout history. Their findings show that changes in certain game-related measures are in line with cultural trends from various eras, demonstrating that their model is a promising approach to understanding human enjoyment derived from games.
The Fourier transform is a mathematical operation essential to virtually all fields of physics and engineering. Although there already exists an algorithm that computes the Fourier transform in quantum computers, it is not versatile enough for many practical applications. In a recent study, scientists from Tokyo University of Science tackle this problem by designing a novel quantum circuit that calculates the Fourier transform in a much quicker, versatile, and more efficient way.
Researchers at Institut national de la recherche scientifique (INRS) have discovered a cost-effective way to tune the spectrum of a laser to the infrared, a band of great interest for many laser applications. They collaborated with Austrian and Russian research teams to develop this innovation, which is now the subject of a patent application. The results of their work were recently published in Optica, the flagship journal of the Optical Society (OSA).