Articles tagged with Computer Modeling
Researchers at The Hebrew University of Jerusalem have developed a new deep learning artificial infrastructure inspired by individual neurons. Their approach uses complex mathematical modeling to replicate the brain's electrical processes and create more intelligent AI systems.
A deep learning-based method developed by Kaunas University of Technology researchers can predict the possible onset of Alzheimer's disease from brain images with an accuracy of over 99%. The algorithm was trained on functional MRI images from 138 subjects and performed better than previously developed methods.
Researchers at Technical University of Munich have developed a new machine learning algorithm that can analyze complex markets and their equilibrium strategies. This breakthrough has potential applications in auction theory, wireless spectrum auctions, and more.
A simple stock assessment model applied to 500 years of catch data shows that northern Atlantic cod biomass is currently around 2% of its earlier level. Annual catches could have been sustained at around 200,000 tonnes if authorities had allowed rebuilding in the 1980s.
A study estimates that 103 million Americans had COVID-19 by the end of 2020, accounting for 31% of the population. Undocumented cases accounted for three-quarters of infections, which were often mild or asymptomatic.
Researchers from Binghamton University and Harvard Medical School are using computer modeling and advanced imaging to study brain folding and growth in fetuses. They hope to understand the underlying mechanism of how brains form and how early weeks affect later life.
Student researchers at the University of Cincinnati developed artificial intelligence to train robots to work together to move a couch around obstacles and through a narrow door. The robots successfully completed the task 95% of the time in simulations, with nearly equal success without re-training.
A new digital study has found that Tyrannosaurus rex's jaw had nerve sensors enabling it to better detect and eat its prey. The researchers used computed tomography to analyze the distribution of neurovascular canals in a fossil mandible, revealing complex branching patterns similar to those of modern-day crocodiles and birds.
A University of Missouri researcher is using a grant from the National Science Foundation to explore how time can factor in a building collapse. She's conducting thousands of hours of laboratory tests to determine the breaking points of reinforced concrete building materials.
Phasecraft's new research improves Hamiltonian simulation for near-term quantum computers by five orders of magnitude, making it possible to simulate complex materials and chemistry applications within 2-3 years. The breakthrough algorithm can run on noisy, intermediate-scale quantum hardware, accelerating the pace of real-world impact.
The deployment of thousands of autonomous robots called BGC-Argo floats is transforming our understanding of marine primary productivity on a global scale. By measuring oxygen production over time, researchers can estimate net primary productivity and shed light on the ocean's role in storing carbon.
Researchers at South Ural State University used computer modeling to identify a substance that can block the spread of coronavirus. The study found that ligands must match RNA polymerase as closely as possible to be effective, and scientists have developed an equation to test other ligands' effectiveness on receptors.
Researchers at KAUST developed a new method to simulate the spread of wildfires through forests, capturing complex dynamics involved. The model accurately predicts fire behavior at forest scale and can be used to optimize firebreaks and improve wildfire management.
Scientists aim to develop computer models that can forecast earthquake chances and impact, like weather forecasting. The project will also train students and researchers from diverse backgrounds to work on computational geoscience.
A recent study modelled social, economic, and personal factors influencing voters and parties to identify four key levers that tip the balance towards political extremes. Social contagion and macro-economic factors such as employment and economic growth play a significant role in driving polarization.
Slow slips, or silent earthquakes, are fractures of the Earth's crust that propagate slowly without producing seismic waves. The new database sheds light on the mechanisms behind these events and their potential to trigger regular earthquakes.
Researchers at OIST Graduate University develop robots capable of conducting complex experiments and analyzing data. The 'Nobel Turing Challenge' achieves significant advancements in scientific discovery by leveraging AI-driven robotics.
A new model incorporates human behavior and fears to predict multiple waves of COVID-19 infections. The 'Triple Contagion' model shows how fear can drive disease resurgence, as people may abandon protective measures prematurely or avoid vaccines due to misinformation.
Researchers found that large asteroids from the outer half of the main asteroid belt strike Earth at least 10 times more often than previously calculated
Researchers developed a novel computer model called CODYM to analyze conversational dynamics in seriously ill patients and their families. The model uses Markov Models to capture information flow patterns, providing concise summaries of dependencies in speaker turn lengths.
The spread of infections requires collaboration between biology and physics to understand superspreaders, who account for 80% of transmission. Researchers develop computer models considering family context, work context, and random contexts, highlighting the importance of time in modeling disease behavior.
Researchers at Imperial College London have developed nanocapsules that target specific blood clots, potentially reducing the risk of life-threatening bleeding and increasing the effectiveness of a clot-dissolving drug. The new nanocapsules are designed to attach to activated platelets and release tPA, which dissolves clots.
A research team created a computer model that can simulate the impact of individual receptor types on brain activity. The model uses data from three imaging techniques to quantify receptor-specific modulations of brain states. By predicting changes in brain dynamics after receptor activation, the researchers hope to develop new diagnos...
Scientists Simin Wang and Witold Nazarewicz develop a computer model to reconstruct protons inside the nucleus based on detector data, enabling predictions about nuclear behavior. The model helps understand rare nuclei decay by emitting pairs of particles.
A computer model has been developed to potentially improve bionic eye technology by enhancing clarity and granting color vision to future retinal prosthetic devices. The model, which replicates the shapes and positions of millions of nerve cells in the eye, identifies ways to increase signal transmission and processing efficiency.
A Skoltech researcher has discovered a new model of quantum computation, the variational model, which enables universal computation using limited control over a quantum simulator. This breakthrough bridges the gap between traditional quantum simulators and quantum computers.
Researchers at Northwestern University have created data-driven movies of how RNA folds in the cell, revealing unexpected mechanisms and dynamics. These findings could lead to breakthroughs in understanding and treating RNA-related diseases.
A new machine learning model uses computer algorithms to measure poverty in different countries, providing a more holistic and multi-dimensional approach. The model can predict future poverty levels and plan interventions to alleviate the problem.
Researchers have developed a new computational method called Wasserstein-induced flux (WIF) to validate the accuracy of images in scientific research. WIF provides statistical confidence that specific data points in an image are accurate, enabling scientists to evaluate model performance and improve their models.
Researchers used computer models to analyze COVID-19 pandemic-related changes in human activity and its impact on air pollution. The study found that global nitrogen dioxide concentrations decreased by nearly 20%, with significant reductions observed in 50 of the analyzed cities, including Wuhan, China, Milan, and New York.
A Stanford-led team created a computer model that accurately predicted the spread of COVID-19 in 10 major cities by analyzing three factors: daily destinations, duration, and crowd density. The model reveals that most infections occur at 'superspreader' sites and disproportionately affect minority and low-income populations.
Researchers study insect brain computation to develop faster, more efficient machine learning algorithms. The fruit fly's ability to generalize experiences in complex environments informs the creation of an AI model capable of rapid adaptation.
A holistic causal model is being developed to improve software traceability, leveraging evolutionary histories and intelligent agents for accurate link evaluation. The goal is to enhance trace link quality and facilitate causal reasoning.
Researchers at Princeton University developed a tool to uncover potential biases in visual data sets, such as stereotypical images and underrepresentation. The tool, REVISE, uses statistical methods to inspect data sets for object-based, gender-based, and geography-based biases.
Researchers at UTA are working on a framework to share sensor data through the cloud, reducing costs for businesses and individuals. The sensing-as-a-service model provides incentives for data holders to participate, allowing flexibility and preserving anonymity.
A team of Penn State researchers suggests that simpler models may be a better choice for determining some climate risk due to their ability to better sample uncertainties. This approach can help decision-makers quantify risks more effectively, even if it means sacrificing some detail in the model.
Swiss Center for Electronics and Microtechnology engineers developed an approach to overcome the initial trial-and-error phase of reinforcement learning. This allows computers to quickly find the right path without extreme fluctuations, slashing energy use by over 20% in complex systems.
A new approach to evaluating bridge strength and remaining life is being developed by a University of Texas at Arlington engineer, combining non-destructive evaluation (NDE) techniques with computer modeling and full-scale load testing. The method aims to prioritize repairs without closing roads.
A new open-source computer model is being developed to simulate production and quantify the environmental effects of management decisions on dairy farms. The Ruminant Farms Systems Model project aims to address limitations of current farm management models and provide tools for economic and environmentally balanced decision-making.
A team at the University of Bath has developed Touche, a data-driven computer model that generates responsive animations against attacks and eliminates non-reactive behavior from characters. This framework simplifies the necessary technical work to achieve a convincing simulation, resulting in more realistic results for game developers.
Research models show that repeated coughing can degrade face mask efficiency by allowing more droplets through. Even when worn, masks can still let out droplets up to 1 meter away during mild coughing.
New computer model simulations suggest that Neanderthals' rapid decline was due to competition with Homo sapiens for resources. The model, which considers climate change and interbreeding, shows that Homo sapiens had a significant advantage in exploiting existing food resources.
A new computer model developed by scientists can accurately predict brain age using different types of brain scan data, including MRI scans and magnetoencephalography tests. This model has the potential to be used clinically to combine various tests and predict patient outcomes such as cognitive decline or depression.
A Tsukuba University study shows that comprehensive implementation of COVID-19 infection prevention measures boosts effectiveness, while partial implementation compromises it. The study found that implementing measures either individually or in partial combinations yields limited results.
Researchers from Max Planck Institute for Dynamics and Self-Organization analyzed COVID-19 case numbers in Germany, examining the effectiveness of interventions. They found that measures slowed down the spread of the virus but did not completely halt it, and their model calculations show how different scenarios play out.
A study found that ants use cooperative transport to overcome navigational challenges, demonstrating the potential advantages of group living and collective cognition in making certain environments habitable. The team discovered that non-carrying ants played a crucial role in guiding the group and extending their sensing range.
Researchers are creating computer modeling systems to predict the spread of SARS-CoV-2 virus across four northern Arizona counties. The model can track hospital visits and stress on facilities, providing critical informatics support for strategic management of the current crisis.
Researchers have found that polymers filled with carbon nanotubes could potentially improve how unmanned vehicles dissipate energy. These materials are also less susceptible to corrosion, lightweight, and have higher electrical conductivity than traditional elastomers.
Researchers develop AI-based computer models to calculate an individual patient's risk of requiring a ventilator or intensive care. The models will analyze vast amounts of data from multiple sources, including electronic health records and test results.
The Network for Computational Modeling in Social and Ecological Sciences (CoMSES Net) is a global clearinghouse for computer models that can simulate the spread of the coronavirus. Thousands of scientists are developing these models, but their assumptions and algorithms need to be scrutinized and improved upon.
New research suggests that 86% of COVID-19 infections in China were undocumented prior to travel shutdowns, with these cases being highly contagious. The study highlights the importance of increased awareness and personal protective measures in reducing the spread of the virus.
A new computer model explains how gas bubbles form large methane hydrate deposits, advancing understanding of climate change and energy security. The model suggests that gas flowing through subsurface layers can accumulate into concentrated hydrate reservoirs suitable for future energy sources.
A new mathematical computer model predicts that soybean crops lose up to 13% of their productivity due to minute-by-minute light fluctuations. The study aims to improve photosynthesis and equip farmers with higher-yielding crops to ensure global food security.
A UBC study reveals people's worries about smart speakers extend to their housemates accessing devices, ordering online, or overhearing conversations. Researchers found that users' mental models of how smart speakers work influence their attitudes towards shared devices.
Researchers develop technique to evaluate reliability of patient risk models, which often fail to accurately predict outcomes. The method generates an unreliability score, indicating when a model's predictions are less trustworthy, helping doctors avoid ineffective or unnecessarily risky treatments.
Researchers used computer modeling to refine graphite's melting curve, finding it actually undergoes sublimation. Graphene was found to 'melt' into a gaseous state, enabling better understanding of phase transitions in low-dimensional materials.
A team of researchers created a computer model that predicts the migration patterns of sea turtle hatchlings after they leave Florida's shores. The model takes into account ocean circulation data and sea turtle nesting and stranding information to inform conservation efforts and guide policies.
A new EU project, HUBCAP, aims to enable small and medium-sized enterprises (SMEs) to adopt computer-based models for cyber-physical systems. The project provides a cloud-based platform for testing and implementing modern computer models, as well as funding opportunities for SMEs to work on specific projects.
Emerging methods aim to simulate the net-forming molecule behind clots, highlighting advances in understanding vWF behavior and potential therapies targeting platelet aggregation and ADAMTS13 enhancement. Researchers collaborate across biology and computer science to build an improved model for predicting thrombus formation.
Scientists discover that tiny holes in materials like concrete increase strength by spreading force and protecting weak zones. The phenomenon only applies where strong and weak zones are unevenly distributed, and it has the potential to predict material failure.