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Categories: Mathematics: Statistics, Offbeat: Computers and Math

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Mathematicians have developed statistical methods that lay the framework for the crucial first step of determining whether there are any linkages between exposures and health outcomes from the 2010 Deepwater Horizon oil spill, which is considered the largest marine oil spill in the history of the U.S.

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Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the sport. Drawing on recent advances in natural language processing and computer vision, their approach would completely change, and could enhance, the way the state of a game and a player's impact on the game is measured.

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Professional organizations in science, technology, engineering and mathematics (STEM) fields could more effectively collect data on underrepresented groups in their fields, according to a new survey. With more robust information, STEM organizations could better target efforts to recruit and retain a more diverse membership.

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Power functional theory is a new approach that makes it possible to describe precisely the dynamics of many-particle systems over time.

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An artificial intelligence (AI)-based computer algorithm accurately predicted a person's likelihood of suffering heart problems related to clogged arteries based on voice recordings alone.

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Researchers have developed an algorithm that uses the most quantum bits to date to calculate ground state energy, the lowest-energy state in a quantum mechanical system. The discovery could make it easier to design new materials.

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A quantum ensemble -- a set of quantum states with their corresponding probabilities -- is essential to the encoding of classical information for transmission over quantum channels. But receivers must be able to 'guess' the transmitted quantum state, incurring a cost called 'guesswork.' Recently, researchers have derived analytical solutions of the guesswork problem for when the ensemble is subject to a finite set of conditions. The results constitute a first step towards future algorithms for quantum software.

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Scientists are evaluating machine-learning models using transfer learning principles.

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A new data analysis tool has revealed the specific immune cell types associated with increased risk of death from COVID-19.

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Researchers have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train.

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Time for a road trip. You punch the destination into your GPS and choose the suggested route. But is this shortest route the safest? Not necessarily, according to new findings.

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Despite being among the most researched topics on supercomputers, a fundamental understanding of the effects of turbulent motion on fluid flows still eludes scientists. A new approach aims to change that.

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Researchers have developed a system based on computer vision techniques that allows automatic analysis of biomedical videos captured by microscopy in order to characterize and describe the behavior of the cells that appear in the images.

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Community structure, including relationships between and within groups, is foundational to our understanding of the world around us.

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Asymptomatic COVID-19 cases are the bane of computer modelers' existences -- they throw off the modeling data to an unknown degree. A new approach explores using historic epidemic data from eight different countries to estimate the transmission rate and fraction of under-reported cases.

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Researchers have built a machine learning framework that can define the mathematical equations describing a cell's trajectory from one state to another, such as its development from a stem cell into one of several different types of mature cell. The framework, called dynamo, can also be used to figure out the underlying mechanisms -- the specific cocktail of gene activity -- driving changes in the cell.

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Retrieving an accurate picture of what a tagged animal does as it journeys through its environment requires statistical analysis, especially when it comes to animal movement, and the methods statisticians use are always evolving to make full use of the large and complex data sets that are available. A recent study by researchers at the Institute for the Oceans and Fisheries (IOF) and the UBC department of statistics has taken us a step closer to understanding the behaviours of northern resident killer whales by improving statistical tools useful for identifying animal behaviours that can't be observed directly.

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Mathematicians created a statistical model that can be used to detect misinformation in social posts.

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Novel software for grouping immunological T-cell receptors may enable the identification of shared patterns that could be used to determine if a person has previously been infected or vaccinated against a given pathogen.

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By observing how strange particles called anyons dissipate heat, researchers have shown that they can probe the properties of these particles in systems that could be relevant for topological quantum computing.