Рубрика: Computers & Math

  • BioCro software for growing virtual crops improved

    A team has revamped the popular crop growth simulation software BioCro, making it a more user-friendly and efficient way to predict crop yield. The updated version, BioCro II, allows modelers to use the technology much more easily and includes faster and more accurate algorithms. «In the original BioCro, all the math that the modelers were…

  • Standards for studies using machine learning

    Researchers in the life sciences who use machine learning for their studies should adopt standards that allow other researchers to reproduce their results, according to a new article. The authors explain that the standards are key to advancing scientific breakthroughs, making advances in knowledge, and ensuring research findings are reproducible from one group of scientists…

  • A sibling-guided strategy to capture the 3D shape of the human face

    A new strategy for capturing the 3D shape of the human face draws on data from sibling pairs and leads to identification of novel links between facial shape traits and specific locations within the human genome. The ability to capture the 3D shape of the human face — and how it varies between individuals with…

  • Could EKGs help doctors use AI to detect pulmonary embolisms?

    Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists showed that artificial intelligence (AI) algorithms can detect signs of these clots in electrocardiograms (EKGs), a finding which may one day help doctors with screening. The results published in the European Heart Journal — Digital Health suggested that new machine learning algorithms, which…

  • Seeing is believing: Visualizing differences in RNA biology between single cells

    Researchers developed the novel and publicly available computational tool Millefy to visualize heterogeneity in RNA biology between single cells. Using mouse embryonic stem cells and cells from triple-negative breast cancer patients, they demonstrated the utility of Millefy to identify cell-to-cell variability in read coverage in scRNA-seq data. These findings could help understand disease formation and…

  • Survey of COVID-19 research provides fresh overview

    Researchers have explored all COVID-19 research published during the initial phase of the pandemic. The results, which were achieved by using a machine learning-based approach, will make it easier to direct future research to where it is most needed. In the wake of the rapid spread of COVID-19, research on the disease has escalated dramatically.…

  • Machine learning that works like a dream

    Researchers have developed a machine learning algorithm that classifies the sleep stages of mice with record accuracy. This work may be used to greatly enhance the field of sleep research. Scientists who study sleep often use mice as animal models to better understand the ways the activity in the brain changes during the various phases.…

  • Dark mode may not save your phone’s battery life as much as you think, but there are a few silver linings

    Dark mode is unlikely to make a big difference to battery life with the way that most people use their phones on a daily basis, says a new study. That doesn’t mean that dark mode can’t be helpful, though. But dark mode is unlikely to make a big difference to battery life with the way…

  • Development of an artificial vision device capable of mimicking human optical illusions

    Researchers have developed an ionic artificial vision device capable of increasing the edge contrast between the darker and lighter areas of an mage in a manner similar to that of human vision. This first-ever synthetic mimicry of human optical illusions was achieved using ionic migration and interaction within solids. It may be possible to use…

  • Are fertility apps useful?

    Researchers have carried out an analysis of the largest datasets from fertility awareness apps. Analyzing data from 200,000 users of the apps Sympto and Kindara, they have been able to make population-level observations regarding user demographics, tracking behavior patterns and accuracy in measuring menstrual health and ovulation. On the other hand, many women today are…