A new tool for analyzing tissue damage seen on MRI brain scans can detect with more than 70% accuracy early signs of cognitive decline, new research shows.
Rice University engineers make 2D materials for valleytronics, a platform for information processing and storage that relies on the manipulation of electrons' positions in energetic 'valleys.'
With a training technique commonly used to teach dogs to sit and stay, Johns Hopkins University computer scientists showed a robot how to teach itself several new tricks, including stacking blocks. With the method, the robot, named Spot, was able to learn in days what typically takes a month.
Dr Constantino Carlos Reyes-Aldasoro and Dr Cefa Karabag collaborate with the Francis Crick Institute on a novel approach published in the PLoS ONE journal, which significantly reduces the amount of time taken to analyse the cell line named after Henrietta Lacks, an African-American woman whose contribution to medical science was only formally acknowledged decades after her death.
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.
Plant biology researchers at the University of Illinois and computer scientists at the University of California Irvine have developed a new method of fossil pollen identification through the combination of super-resolution microscopy and machine learning. The team developed and trained three convolutional neural network models to identify fossil pollen specimens from an unknown group of legumes.
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.
Time crystals sound like something out of science fiction, but they may be the next major leap in quantum network research. A team based in Japan has proposed a method to use time crystals to simulate massive networks with very little computing power. They published their results on October 16 Science Advances.
Computational astrophysics study modeled for the first time faint supernovae of metal-free first stars, yielding carbon-enhanced abundance patterns for star formation. Study investigated formation of first stars and the origin of elements heavier than hydrogen, helium, lithium. XSEDE allocations on systems Stampede2 of TACC and Comet of SDSC; Georgia Tech PACE Hive cluster aided researchers explorations of carbon-enhanced metal-poor stars.