Showing 20 articles starting at article 61
< Previous 20 articles Next 20 articles >
Categories: Energy: Alternative Fuels, Mathematics: Modeling
Published Cool roofs are best at beating cities' heat
(via sciencedaily.com) Original source Painting roofs white or covering them with a reflective coating would be more effective at cooling cities like London than vegetation-covered 'green roofs,' street-level vegetation or solar panels, finds a new study led by UCL researchers.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease
(via sciencedaily.com) Original source Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.
Published Machine learning could aid efforts to answer long-standing astrophysical questions
(via sciencedaily.com) Original source Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Published Giant clams may hold the answers to making solar energy more efficient
(via sciencedaily.com) Original source Solar panel and biorefinery designers could learn a thing or two from iridescent giant clams living near tropical coral reefs, according to a new study. This is because giant clams have precise geometries -- dynamic, vertical columns of photosynthetic receptors covered by a thin, light-scattering layer -- that may just make them the most efficient solar energy systems on Earth.
Published Moving beyond the 80-year-old solar cell equation
(via sciencedaily.com) Original source Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.
Published AI model finds the cancer clues at lightning speed
(via sciencedaily.com) Original source AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise
(via sciencedaily.com) Original source Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.
Published Study reveals why AI models that analyze medical images can be biased
(via sciencedaily.com) Original source Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.
Published New deep-learning model outperforms Google AI system in predicting peptide structures
(via sciencedaily.com) Original source Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.
Published Solar technology: Innovative light-harvesting system works very efficiently
(via sciencedaily.com) Original source Researchers are reporting progress on the road to more efficient utilization of solar energy: They have developed an innovative light-harvesting system.
Published Prying open the AI black box
(via sciencedaily.com) Original source Meet SQUID, a new computational tool. Compared with other genomic AI models, SQUID is more consistent, reduces background noise, and can yield better predictions regarding critical mutations. The new system aims to bring scientists closer to their findings' true medical implications.
Published Promise green hydrogen may not always be fulfilled
(via sciencedaily.com) Original source Green hydrogen often, but certainly not always, leads to CO2 gains.
Published Unifying behavioral analysis through animal foundation models
(via sciencedaily.com) Original source Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments. This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.
Published Can AI learn like us?
(via sciencedaily.com) Original source Scientists have developed a new, more energy-efficient way for AI algorithms to process data. His model may become the basis for a new generation of AI that learns like we do. Notably, these findings may also lend support to neuroscience theories surrounding memory's role in learning.
Published Simplicity versus adaptability: Understanding the balance between habitual and goal-directed behaviors
(via sciencedaily.com) Original source Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.
Published New material puts eco-friendly methanol conversion within reach
(via sciencedaily.com) Original source Researchers have developed innovative, eco-friendly quantum materials that can drive the transformation of methanol into ethylene glycol. This discovery opens up new possibilities for using eco-friendly materials in photocatalysis, paving the way for sustainable chemical production.
Published Custom-made molecules designed to be invisible while absorbing near-infrared light
(via sciencedaily.com) Original source Researchers used theoretical calculations assessing electron orbital symmetry to synthesize new molecule designed to be both transparent and colorless while absorbing near-infrared light. This compound demonstrates the first systematic approach to producing such materials and have applications in advanced electronics. This compound also shows semiconducting properties.
Published Researchers use large language models to help robots navigate
(via sciencedaily.com) Original source A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.
Published Lab achieves major gains in perovskite solar cell stability
(via sciencedaily.com) Original source Researchers have developed new chemistry to achieve commercially relevant stability and performance for perovskite solar cells.
Published Quantum data assimilation: A quantum leap in weather prediction
(via sciencedaily.com) Original source Data assimilation is an important mathematical discipline in earth sciences, particularly in numerical weather prediction (NWP). However, conventional data assimilation methods require significant computational resources. To address this, researchers developed a novel method to solve data assimilation on quantum computers, significantly reducing the computation time. The findings of the study have the potential to advance NWP systems and will inspire practical applications of quantum computers for advancing data assimilation.