The connection between a crumpled sheet of paper and quantum technology: A research team at the EPFL in Lausanne (Switzerland) and the University of Konstanz (Germany) uses topology in microwave photonics to make improved systems of coupled cavity arrays.
Traditional methods of assessing damage after a disaster can take weeks or even months, delaying emergency response, insurance claims and long-term rebuilding efforts. New research might change that. Researchers have developed a new method that combines remote sensing, deep learning and restoration models to speed up building damage assessments and predict recovery times after a tornado. Once post-event images are available, the model can produce damage assessments and recovery forecasts in less than an hour.
Researchers found that vision-language models, widely used to analyze medical images, do not understand negation words like 'no' and 'not.' This could cause them to fail unexpectedly when asked to retrieve medical images that contain certain objects but not others.
Scientists are using artificial intelligence to determine which genes collectively govern nitrogen use efficiency in plants such as corn, with the goal of helping farmers improve their crop yields and minimize the cost of nitrogen fertilizers.
Listen to the first notes of an old, beloved song. Can you name that tune? If you can, congratulations -- it's a triumph of your associative memory, in which one piece of information (the first few notes) triggers the memory of the entire pattern (the song), without you actually having to hear the rest of the song again. We use this handy neural mechanism to learn, remember, solve problems and generally navigate our reality.
A new game-based experiment sheds light on the tradeoffs people are willing to make about data privacy.
A new study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.
Scientists inspired by the octopus's nervous system have developed a robot that can decide how to move or grip objects by sensing its environment.
A multidisciplinary team of researchers has developed an artificial intelligence (AI) model that can predict acute child malnutrition in Kenya up to six months in advance. The tool offers governments and humanitarian organizations critical lead time to deliver life-saving food, health care, and supplies to at-risk areas. The machine learning model outperforms traditional approaches by integrating clinical data from more than 17,000 Kenyan health facilities with satellite data on crop health and productivity. It achieves 89% accuracy when forecasting one month out and maintains 86% accuracy over six months -- a significant improvement over simpler baseline models that rely only on recent historical child malnutrition prevalence trends.
Scientists inspired by the octopus's nervous system have developed a robot that can decide how to move or grip objects by sensing its environment.
Researchers have developed a digital laboratory (dLab) system that fully automates the material synthesis and structural, physical property evaluation of thin-film samples. With dLab, the team can autonomously synthesize thin-film samples and measure their material properties. The team's dLab system demonstrates advanced automatic and autonomous material synthesis for data- and robot-driven materials science.
Scientists have successfully relocated protons outside of an antimatter laboratory with the help of an autonomous, open Penning trap. This breakthrough marks a significant step toward transporting antiprotons produced at the European Organization for Nuclear Research (CERN) to high-precision laboratories, which operate independently of the research facility. Extremely precise measurements to compare matter and antimatter are only possible far from accelerator facilities.
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators
New AI agent evolves algorithms for math and practical applications in computing by combining the creativity of large language models with automated evaluators