A new study provides public health planning authorities with a method of calculating the number of COVID-19 isolation beds they would need for people experiencing homelessness based on level of infection in the city. The research holds promise for controlling…
Tag: ALGORITHMS/MODELS
Researchers use ‘hole-y’ math and machine learning to study cellular self-assembly
PROVIDENCE, R.I. [Brown University] — The field of mathematical topology is often described in terms of donuts and pretzels. To most of us, the two differ in the way they taste or in their compatibility with morning coffee. But to…
Modeling can predict mutation “hotspots” and antibody escapers in SARS-CoV-2 spike protein
Study identifies structural basis of spike protein mutations with stronger binding and antibody resistance, which may explain transmissibility of new COVID-19 variants
Envisioning safer cities with AI
Researchers use crowdsourced data, neural networks, and supercomputers to simulate risks to cities and regions
UTSA builds personal AI for teaching kids living on autistic spectrum
UTSA has established a wearables and artificial intelligence laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD). Researchers will automate data collection and analysis of behavioral sensing data that can be used…
UTSA builds personal AI for teaching kids living on autistic spectrum
UTSA has established a wearables and artificial intelligence laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD). Researchers will automate data collection and analysis of behavioral sensing data that can be used…
Staying down on the farm
Researchers at Tokyo University of Agriculture and Technology (TUAT) use nonlinear dynamics to understand the origin of potentially dangerous self-excited oscillations during tractor operation, which may increase safety in industrial situations
Previously unrecognized tsunami hazard identified in coastal cities
CHAMPAIGN, Ill. –A new study found overlooked tsunami hazards related to undersea, near-shore strike-slip faults, especially for coastal cities adjacent to faults that traverse inland bays. Several areas around the world may fall into this category, including the San Francisco…
Mapping the ‘superhighways’ travelled by the first Australians
‘Superhighways’ used by a population of up to 6.5 million Indigenous Australians to navigate the continent tens of thousands of years ago have been revealed by new research using sophisticated modelling of past people and landscapes. The new insights into…
Algorithm scours electronic health records to reveal hidden kidney disease
NEW YORK, NY– Diagnosing chronic kidney disease, which is often undetected until it causes irreversible damage, may soon become automated with a new algorithm that interprets data from electronic medical records. The algorithm, developed by researchers at Columbia University Vagelos…
Do senior faculty publish as much as their younger colleagues?
Evidence from Ph.D. granting institutions in the United States
TBI: A new roadmap for advancing personalized treatment solutions
First of six publications reports on new tool to identify patient subgroups that enable personalized care
Pepper the robot talks to itself to improve its interactions with people
Ever wondered why your virtual home assistant doesn’t understand your questions? Or why your navigation app took you on the side street instead of the highway? In a study published April 21st in the journal iScience , Italian researchers designed…
COVID-19 peaks reflect time-dependent social activity, not herd immunity
Scientists developed a model showing that a fragile, temporary state of immunity emerged during the early epidemic but got destroyed as people changed their social behaviors over time, leading to future waves of infection.
Physicists develop theoretical model for neural activity of mouse brain
The new model may have applications for studying and predicting a range of dynamical systems
Unique macro-vertebrate at risk from blood sport and climate change
The kangaskhan, Australia’s only species of endemic Pokemon in Pokemon Go, is commonly poached within its natural habitat by Pokemon trainers for use in fighting contests Researchers used several species distribution modeling algorithms to predict how climate change, on top…
Keeping it fresh: New AI-based strategy can assess the freshness of beef samples
Scientists combine spectroscopy and deep learning in an efficient technique for detecting spoiled meat
SwRI researchers part of two collaborative teams awarded SAMF grants
Awards totaling $400,000 to fund cancer detection AI, COVID-19 drug research
US$1.28 trillion: The stark economic carnage of biological invasions threatening the world
A new analysis has revealed the stark US$1.28 trillion economic damage caused by the world’s invasive species
Why the middle is neglected in politics and other spectrums
Are we really living in a polarized world? A mathematical model reveals surprises — particularly about people in the middle.
A Skoltech method helps model the behavior of 2D materials under pressure
Scientists from the Skoltech Center for Energy Science and Technology (CEST) have developed a method for modeling the behavior of 2D materials under pressure. The research will help create pressure sensors based on silicene or other 2D materials. The paper…
Unique AI method for generating proteins will speed up drug development
Artificial Intelligence is now capable of generating novel, functionally active proteins, thanks to recently published work by researchers from Chalmers University of Technology, Sweden. “What we are now able to demonstrate offers fantastic potential for a number of future applications,…
New statistical method eases data reproducibility crisis
The new tool enhances the replicability of large genomic datasets
Algorithm-based music recommendations: Low accuracy for lovers of non-mainstream music
A team of researchers from Graz University of Technology, Know-Center GmbH, Johannes Kepler University Linz, University of Innsbruck, Austria and University of Utrecht, the Netherlands, compared how accurate algorithm-generated music recommendations were for mainstream and non-mainstream music listeners. They used…
New early warning system for self-driving cars
AI recognizes potentially critical traffic situations seven seconds in advance
How AI beats spreadsheets in modelling future volumes for city waste management
Growing cities tend to run out of land for waste management and new landfill sites. Artificial Intelligence can help city managers create more powerful long-term forecasts of solid waste volumes and landfill requirements, even with missing or inaccurate data. UJ…
Getting the inside track on street design
Pedestrian movements are tricky to track, but now the first large-scale statistical analysis of pedestrian flow using anonymous phone data collected in three European capital cities, London, Amsterdam and Stockholm, has been conducted by researchers from KAUST with Swedish colleagues…
Automated embryo selection system might rise likelihood of success in treating infertility
The AI-based system photographs the embryos every five minutes, processes the data of their development and notifies any anomalies observed. This increases the likelihood of choosing the most viable and healthy early-stage embryo for IVF procedures.
Coughs create complicated airflows. A new project explores how they spread viruses.
ANN ARBOR–Scientists don’t fully understand exactly how our coughs disperse virus particles into the air, but a new project led by the University of Michigan aims to provide a more accurate assessment of the dangers of close-proximity coughs and potentially…
No evidence that people alter daily travel after having symptoms that could be COVID-19
New George Mason University College of Health and Human Services study is one of first individual-level studies to track movements and symptoms during the COVID-19 pandemic
FDA grants Breakthrough Device Designation to Tempus’ ECG analysis platform
Platform developed in collaboration with Geisinger
Texas A&M researchers optimize materials design using computational technologies
Advanced computational and machine-learning techniques could reduce production time and costs
New research finds seating assignments on airplanes can reduce the spread of COVID-19
> CATONSVILLE, MD, March 24, 2021 – COVID-19 has been shown to spread on airplanes by infected passengers, so minimizing the risk of secondary infections aboard aircraft may save lives. New research in the INFORMS journal Service Science uses two…
Group testing method developed for COVID-19
Researchers Mario Guarracino the HSE Laboratory of Algorithms and Technologies for Networks Analysis in Nizhny Novgorod and Julius ?ilinskas and Algirdas Lančinskas from Vilnius University, have proposed a new method of testing for COVID-19. This group method allows results to…
Stay on track! Support system to help the visually impaired navigate tactile paving
Scientists develop improved image processing algorithm that can more accurately detect tactile paving in various lighting conditions and environments
A European monitoring and warning system on natural hazards for aviation
Volcanic eruptions, forest fires, electromagnetic radiation from the Sun or electrical storms, and sandstorms are among the phenomena that may pose a risk to air traffic safety and will be studied within the framework of this project. “Serious damage can…
Uncertain energy
Mathematicians and risk analysts are working to help modernize the country’s energy markets
Artificial neurons help decode cortical signals
Russian scientists have proposed a new algorithm for automatic decoding and interpreting the decoder weights, which can be used both in brain-computer interfaces and in fundamental research. The results of the study were published in the Journal of Neural Engineering…
International collaboration will use AI to enhance climate change projections
$10 million effort, backed by Schmidt Futures, to be led by NYU Courant researcher
Its curvature foreshadows the next financial bubble
New paper sheds light on the higher-order architecture of financial systems and allow analysts to identify systemic risks like market bubbles or crashes
Researchers’ algorithm designs soft robots that sense
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Teaching AI what’s fair
With support from Amazon and the National Science Foundation, Michigan State researchers are helping artificial intelligence understand fairness
Professor Christopher Musco receives NSF award for promising young researchers
BROOKLYN, New York, Monday, March 22, 2021 — The National Science Foundation (NSF) selected an NYU Tandon School of Engineering professor who is spearheading a project to democratize big data modeling with novel algorithms to receive one of its most…
Scientists develop AI platform to assess blood vessel anomalies and eye disease
An international team of scientists from Nanyang Technological University, Singapore (NTU Singapore), Brown University and the Massachusetts Institute of Technology (MIT) has developed an artificial intelligence (AI) platform that could one day be used in a system to assess vascular…
UNM study: As more are vaccinated, it makes economic sense to gradually open the economy
A University of New Mexico research team conducted a data analysis that has found that as a larger portion of the population gets vaccinated against COVID-19, it becomes economically advantageous to start relaxing social distancing measures and open businesses. Francesco…
Real “doodles of light” in real-time mark leap for holograms at home
Fast line-based algorithm turns hand-writing into holograms using standard CPUs
Technique based on artificial intelligence permits automation of crop seed analysis
Developed by researchers at the University of São Paulo, the non-invasive methodology facilitates identification of immature or poor-quality seeds without destroying them or creating residues.
Strengthening water resources planning in East Africa
IIASA researchers worked with local stakeholders from the East African Community to explore and co-develop regional water scenarios that can enhance understanding of the up- and downstream water sector interactions in the extended Lake Victoria Basin to facilitate rational water…
Using ships themselves to monitor and predict waves
An algorithm and some preparatory calculations are cheaper and faster than current alternatives
Developing new technologies that automatically reassure you older relatives are well
Researchers are developing new autonomous technologies that can help people check that isolated elderly family members are okay.