Рубрика: Computers & Math

  • Social media addiction linked to cyberbullying

    New research suggests that these increased hours spent online may be associated with cyberbullying behaviors. According to a study, higher social media addiction scores, more hours spent online, and identifying as male significantly predicted cyberbullying perpetration in adolescents. New research suggests that these increased hours spent online may be associated with cyberbullying behaviors. According to…

  • A game changer: Virtual reality reduces pain and anxiety in children

    Randomized clinical trial shows that engaging in virtual reality can significantly reduce pain and anxiety in children undergoing intravenous catheter placement. For nearly two decades, Jeffrey I. Gold, PhD, an investigator at The Saban Research Institute of Children’s Hospital Los Angeles, has been investigating the use of virtual reality (VR) as a technique to help…

  • Gauging the resilience of complex networks

    Whether a transformer catches fire in a power grid, a species disappears from an ecosystem, or water floods a city street, many systems can absorb a certain amount of disruption. But how badly does a single failure weaken the network? And how much damage can it take before it tips into collapse? «After a certain…

  • 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…

  • Human-Artificial intelligence collaborations best for skin cancer diagnosis

    Artificial intelligence (AI) improved skin cancer diagnostic accuracy when used in collaboration with human clinical checks. The global team tested for the first time whether a ‘real world’, collaborative approach involving clinicians assisted by AI improved the accuracy of skin cancer clinical decision making. UQ’s Professor Monika Janda said the highest diagnostic accuracy was achieved…

  • Machine learning speeds up simulations in material science

    Research, development, and production of novel materials depend heavily on the availability of fast and at the same time accurate simulation methods. Machine learning, in which artificial intelligence autonomously acquires and applies new knowledge, will soon enable researchers to develop complex material systems in a purely virtual environment. How does this work, which applications will…

  • Re-engineering antibodies for COVID-19

    A researcher is using ‘in silico’ analysis to fast-track passive immunity. Antibody tests look for the presence of antibodies, which are specific proteins made in response to infections. Antibodies are disease specific. For example, measles antibodies will protect you from getting measles if you are exposed to it again, but they won’t protect you from…

  • Computer vision app allows easier monitoring of diabetes

    A computer vision technology developed by engineers has now been developed into a free mobile phone app for regular monitoring of glucose levels in people with diabetes. The app uses computer vision techniques to read and record the glucose levels, time and date displayed on a typical glucose test via the camera on a mobile…

  • Development of fusion energy

    Physicists are working to develop a unique tokamak fusion device called ‘SPARC.’ The U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) is collaborating with private industry on cutting-edge fusion research aimed at achieving commercial fusion energy. This work, enabled through a public-private DOE grant program, supports efforts to develop high-performance fusion grade plasmas.…

  • Deep learning model classifies brain tumors with single MRI scan

    A team of researchers have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a new study. «This is the first study to address the most common intracranial tumors and to directly determine the tumor class or…