English
Arabic
Chinese (Simplified)
Dutch
Esperanto
French
German
Greek
Italian
Japanese
Korean
Portuguese
Russian
Spanish
UrduA research team led by Dr Rosario Delgado from the UAB Department of Mathematics, in collaboration with the Hospital de Mataró, developed a new machine learning-based model that predicts the risk of mortality of intensive care unit patients according to…
Tag: ALGORITHMS/MODELS
Informing policy for long-term global food security
More than 820 million people in the world don’t have enough to eat, while climate change and increasing competition for land and water are further raising concerns about the future balance between food demand and supply. The results of a…
Oral and general health associations using machine learning prediction algorithms
Alexandria, Va., USA – Muthuthanthrige Cooray, Tohoku University, Sendai, Japan, presented the oral session “Oral and General Health Associations Using Machine Learning Prediction Algorithms” at the virtual 99th General Session & Exhibition of the International Association for Dental Research (IADR),…
Glass sponges have properties for the design of ships, planes and skyscrapers
Published in the journal Nature the first-ever simulation of the deep-sea Venus flower sponge and how it responds to and influences the flow of nearby water.
Millions of dollars saved when scheduled travel providers adapt to on-demand scheduling
New research based on commuter and traffic patterns
A machine learning breakthrough: using satellite images to improve human lives
Berkeley-based project could support action worldwide on climate, health and poverty
The Indus basin: Untapped potential for long-term energy storage
Hydropower has massive potential as a source of clean electricity, and the Indus basin can be a key player in fulfilling long-term energy storage demands across Africa, Asia, Europe, and the Middle East. IIASA researchers explored the role the Indus…
Machine learning models to help photovoltaic systems find their place in the sun
Scientists develop algorithms that predict the output of solar cells, easing their integration into existing power grids
Bonding’s next top model — Projecting bond properties with machine learning
Tokyo, Japan – Designing materials that have the necessary properties to fulfill specific functions is a challenge faced by researchers working in areas from catalysis to solar cells. To speed up development processes, modeling approaches can be used to predict…
Scientists adopt deep learning for multi-object tracking
Their novel framework achieves state-of-the-art performance without sacrificing efficiency in public surveillance tasks
EU project ADMIRE launched
Interdisciplinary consortium aims to develop intelligent adaptive storage systems
A mathematical model simulating the impact of new SARS-CoV-2 strains and vaccines
The MOMAT research group from Universidad Complutense de Madrid has worked with Universidad de Almería, to develop a mathematical model that simulates the impact of SARS-CoV-2 strains and vaccines together, combined with many other biological and social processes in the…
New web platform for planning flood prevention in cities
Heavy rain and flooding are currently making headlines – as they did last winter. Floods like these, but also rising sea levels and storm surges, together with storms, represent the greatest natural hazard in terms of economic damage and can…
COVID-19 vaccination: Examining negative dominance on social media
It’s not all negative
ComCor study on SARS-CoV-2: where are French people catching the virus?
ComCor study on places of infection with SARS-CoV-2: where are French people catching the virus?
Learning aids: Skoltech method helps train computer vision algorithms on limited data
Researchers from Skoltech have found a way to help computer vision algorithms process satellite images of the Earth more accurately even with very limited data for training. This will make various remote sensing tasks easier for machines and ultimately the…
Data privacy — are you sure you want a cookie?
Data privacy is an important topic in the digitalised economy. Recent policy changes have aimed to strengthen users’ control over their own data. Yet new research from Copenhagen Business School finds designers of cookie banners can affect users’ privacy choices…
Revealing the values in mathematics education through a variety of cultural lenses
Mathematics educators, mathematicians, teachers, and students come together to discuss the values that are espoused and developed through mathematics education today in different cultures
World’s first 3D-printed steel footbridge unveiled by robot in Amsterdam
The bridge, which is over four years in the making and is led by Dutch company MX3D, will be a ‘living laboratory’ in Amsterdam’s city centre. Using its vast network of installed sensors, Imperial College London researchers will measure, monitor…
Swarm of autonomous tiny drones can localize gas leaks
When there is a gas leak in a large building or at an industrial site, human firefighters currently need to go in with gas sensing instruments. Finding the gas leak may take considerable time, while they are risking their lives.…
Mathematical model predicts the movement of microplastics in the ocean
A new model tracking the vertical movement of algae-covered microplastic particles offers hope in the fight against plastic waste in our oceans
Simulating microswimmers in nematic fluids
A combination of two simulation techniques has allowed researchers to investigate how swimming microparticles propel themselves through ‘nematic liquid crystals’ — revealing some unusual behaviors
The rat’s whiskers: multidisciplinary research reveals how we sense texture
Mathematicians and neuroscientists achieve breakthrough in understanding how whiskers ‘amplify’ texture
Galactic gamma ray bursts predicted last year show up right on schedule
Sherlock Holmes story gives clue to successful prediction of bursts from nearby magnetar
Training an AI eye on the moon
A Moon-scanning method that can automatically classify important lunar features from telescope images could significantly improve the efficiency of selecting sites for exploration. There is more than meets the eye to picking a landing or exploration site on the Moon.…
Direct flights save lives! New airline routes can increase kidney sharing by more than 7%
INFORMS Journal Management Science Study Key Takeaways: Lack of direct airline routes limit the flexibility of organ transplantation policies. A new airline route can increase the number of kidneys shared between different regions by more than 7% while also decreasing…
Phasecraft reveals a more efficient method for modelling electrons in materials
UK quantum software startup Phasecraft, spun out of UCL and University of Bristol, releases peer-reviewed research that shows significant improvement beyond previous techniques for simulating fermions on quantum computers
Of the same stripe: Turing patterns link tropical fish and bismuth crystal growth
Scientists prove Turing patterns, usually studied in living organisms and chemical systems, also manifest at the nanoscale in monoatomic bismuth layers
Regular rapid testing detects COVID-19 soon enough to stop transmission in schools
Professors Caroline Colijn and Paul Tupper used a mathematical model to simulate COVID-19’s spread in the classroom
Obscuring the truth can promote cooperation
People are more likely to cooperate if they think others are cooperating, too; new research by biologists in the School of Arts & Sciences shows that overstating the true level of cooperation in a society can increase cooperative behavior overall
Heavy rain and heat — New details on climate change
Possible climate changes on county level — a new climate service from GERICS
SMU professor awarded NSF grant for models to better aid evacuees after natural disasters
‘We can do better with a systems approach…instead of catching up after each hurricane’
Predicting the future of cod
Hereon scientists develop new fisheries management planning tool — fewer stocks expected
Rethinking southeast asia’s energy plans
Scientists in Singapore are calling for revisions in planned hydropower expansions in light of the rapidly decreasing cost of solar photovoltaic systems
Danish invention to make computer servers worldwide more climate friendly
An elegant new algorithm developed by Danish researchers can significantly reduce the resource consumption of the world’s computer servers. Computer servers are as taxing on the climate as global air traffic combined, thereby making the green transition in IT an…
Improved prediction of Indian Monsoon onset three months in advance using machine learning
The result is encouraging as the Indian monsoon might become less regular due to future global warming
Stanford research shows muskrats are a bellwether for a drying delta
The muskrat, a stocky brown rodent the size of a Chihuahua – with a tail like a mouse, teeth like a beaver and an exceptional ability to bounce back from rapid die-offs – has lived for thousands of years in…
New chatbot can explain apps and show you how they access hardware or data
Hey GUI helps you find information on apps and their user interfaces with a simple conversation rather than complex tools or code
Using computation to improve words: Novel tool could improve serious illness conversations
Conversations between seriously ill people, their families and palliative care specialists lead to better quality-of-life. Understanding what happens during these conversations – and particularly how they vary by cultural, clinical, and situational contexts – is essential to guide healthcare communication…
Machine learning for solar energy is supercomputer kryptonite
Scientists have found a way to predict the band gap of photovoltaics materials in milliseconds with a conventional PC, potentially leaving the world’s most powerful and expensive processing machines gathering dust
Ben-Gurion U. scientists invent an artificial nose for continuous bacterial monitoring
BEER-SHEVA, Israel, June 21, 2021 – A team of scientists at Ben-Gurion University of the Negev (BGU) have invented an artificial nose that is capable of continuous bacterial monitoring, which has never been previously achieved and could be useful in…
We cannot cheat ageing and death
New study finds fresh evidence for our inevitable death
When testing Einstein’s theory of general relativity, small modeling errors add up fast
Small modeling errors may accumulate faster than previously expected when physicists combine multiple gravitational wave events (such as colliding black holes) to test Albert Einstein’s theory of general relativity, suggest researchers at the University of Birmingham in the United Kingdom.…
New models predict fewer lightning-caused ignitions but bigger wildfires by mid century
CORVALLIS, Ore. – Human-caused wildfire ignitions in Central Oregon are expected to remain steady over the next four decades and lightning-caused ignitions are expected to decline, but the average size of a blaze from either cause is expected to rise,…
Machine learning can now reduce worry about nanoparticles in food
Researchers at Texas A&M can predict whether metallic nanoparticles in soil are likely to be absorbed by plants, which could cause toxicity
Greenhouse gas data deep dive reaches new level of ‘reasonable and true’
URBANA, Ill. – For the most accurate accounting of a product’s environmental impact, scientists look at the product’s entire life cycle, from cradle to grave. It’s a grand calculation known as a life cycle assessment (LCA), and greenhouse gas emissions…
Predicting the spread of invasive carp using river water flows
University of Missouri engineers are partnering with the US Geological Survey to better understand how to stop invasive carp from damaging both the economy and the environment
New AI model helps understand virus spread from animals to humans
A new model that applies artificial intelligence to carbohydrates improves the understanding of the infection process and could help predict which viruses are likely to spread from animals to humans. This is reported in a recent study led by researchers…
Malicious content exploits pathways between platforms to thrive online, subvert moderation
New research demonstrates how stopping the spread of harmful content will require inter-platform action
Predicting the evolution of a pandemic
The inclusion of biological uncertainty and the latest case data can significantly improve the prediction accuracy of standard epidemiological models of virus transmission, new research led by KAUST and the Kuwait College of Science and Technology (KCST) has shown. Modern…