|Next step in simulating the universe|
Researchers have developed a way to accurately represent the behavior of elementary particles called neutrinos in computer simulations of the Universe. The simulation results reveal the effects of neutrinos on the formation and growth of galaxies for different values of the uncertain neutrino mass. The work marks a milestone in simulating the Universe and could help determine the neutrino mass.
|Microfluidic system with cell-separating powers may unravel how novel pathogens attack|
To develop effective therapeutics against pathogens, scientists need to first uncover how they attack host cells. An efficient way to conduct these investigations on an extensive scale is through high-speed screening tests called assays.
|AI model uses retinal scans to predict Alzheimer's disease|
A form of artificial intelligence designed to interpret a combination of retinal images was able to successfully identify a group of patients who were known to have Alzheimer's disease, suggesting the approach could one day be used as a predictive tool, according to an interdisciplinary study.
|Computer-aided creativity in robot design|
RoboGrammar is a new system that automates and optimizes robot design. The system creates arthropod-inspired robots for traversing a variety of terrains. It could spawn more inventive robot forms with enhanced functionality.
|Lower current leads to highly efficient memory|
Researchers are a step closer to realizing a new kind of memory that works according to the principles of spintronics which is analogous to, but different from, electronics. Their unique gallium arsenide-based ferromagnetic semiconductor can act as memory by quickly switching its magnetic state in the presence of an induced current at low power. Previously, such current-induced magnetization switching was unstable and drew a lot of power, but this new material both suppresses the instability and lowers the power consumption too.
|AI detects COVID-19 on chest X-rays with accuracy and speed|
Researchers have developed a new artificial intelligence platform that detects COVID-19 by analyzing X-ray images of the lungs.
|AI system discovers useful new material|
When the words 'artificial intelligence' (AI) come to mind, your first thoughts may be of super-smart computers, or robots that perform tasks without needing any help from humans. Now, a multi-institutional team has accomplished something not too far off: They developed an AI algorithm called CAMEO that discovered a potentially useful new material without requiring additional training from scientists.
|Measuring risk-taking - by watching people move computer mouses|
How you move a computer mouse while deciding whether to click on a risky bet or a safe choice may reveal how much of a risk-taker you really are. Researchers found that people whose mouse drifted toward the safe option on the computer screen - even when they ended up taking the risky bet - may be more risk-averse than their choice would indicate.
|World's smallest atom-memory unit created|
Faster, smaller, smarter and more energy-efficient chips for everything from consumer electronics to big data to brain-inspired computing could soon be on the way after engineers created the smallest memory device yet.
|Showing robots how to drive a car...in just a few easy lessons|
Researchers have designed a system that lets robots autonomously learn complicated tasks from a very small number of demonstrations -- even imperfect ones. While current state-of-art methods need at least 100 demonstrations to nail a specific task, this new method allows robots to learn from only a handful of demonstrations.
|Three reasons why COVID-19 can cause silent hypoxia|
To crack the mystery of what causes silent hypoxia, a condition when oxygen levels in the body are abnormally low, biomedical engineers used computer modeling to test out three different scenarios that help explain how and why the lungs stop providing oxygen to the bloodstream.
|A neural network learns when it should not be trusted|
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output. The advance could enhance safety and efficiency in AI-assisted decision making, with applications ranging from medical diagnosis to autonomous driving.
|Meeting a 100-year-old challenge could lead the way to digital aromas|
Fragrances - promising mystery, intrigue and forbidden thrills - are blended by master perfumers, their recipes kept secret. In a new study on the sense of smell, researchers have managed to strip much of the mystery from even complex blends of odorants, not by uncovering their secret ingredients, but by recording and mapping how they are perceived. The scientists can now predict how any complex odorant will smell from its molecular structure alone. This study may not only revolutionize the closed world of perfumery, but eventually lead to the ability to digitize and reproduce smells on command. The proposed framework for odors was created by neurobiologists, computer scientists, and a master-perfumer.
|For neural research, wireless chip shines light on the brain|
Researchers have developed a chip that is powered wirelessly and can be surgically implanted to read neural signals and stimulate the brain with both light and electrical current. The technology has been demonstrated successfully in rats and is designed for use as a research tool.
|New test reveals AI still lacks common sense|
Natural language processing (NLP) has taken great strides recently -- but how much does AI understand of what it reads? Less than we thought, it seems. Despite advances, AI still doesn't have the common sense needed to generate plausible sentences.