Articles tagged with Computational Science
Researchers from MIT develop a new technique called Natural Language Embedded Programs (NLEPs) to enable large language models to solve numerical, analytical, and language-based tasks. NLEPs achieved greater than 90 percent accuracy on symbolic reasoning tasks and showed 30 percent greater accuracy than task-specific prompting methods.
Researchers developed a quantum annealing approach to accelerate data assimilation, significantly reducing computational cost. The method achieves comparable accuracy to conventional approaches but in a fraction of the time.
Researchers at NCCR MARVEL have discovered a chain of copper and carbon atoms that forms the thinnest metallic nanowire stable at 0K. CuC2 has promising properties for flexible electronics, including its ability to be bent without losing its metallic behavior.
A new study by a global consortium provides insight into how tumors evolve, shedding light on the intricate processes underlying cancer evolution. The findings define optimal algorithms to analyze tumor evolution, enhancing diagnostic accuracy and treatment planning.
A new method developed by researchers at Florida Atlantic University and the Smithsonian Environmental Research Center improves the accuracy of acoustic tracking in marine animals. The method uses a movement model to reconstruct animal tracks, even in regions with uneven receiver coverage.
A new system developed by Boyce Thompson Institute makes affordable, mobile and high-throughput phenotyping tools accessible worldwide. This allows researchers to conduct data-driven studies on plant growth and responses over time, accelerating breeding of more resilient crop varieties.
Researchers at La Jolla Institute for Immunology developed a computational method to link gene activity to molecular marks on DNA, potentially aiding in the detection of solid tumors and more accurate cancer diagnoses. This new approach utilizes machine learning tools to identify connections between genes and enhancers in the genome.
Portland State University has secured a nearly $1 million grant from the National Science Foundation's Campus Cyberinfrastructure program to establish the Oregon Regional Computing Accelerator (Orca) cluster. The cluster will provide free-of-cost computing resources and cyberinfrastructure to colleges in rural, regional, and minority-s...
A novel approach to training AI systems uses information about spatial position to identify objects and navigate surroundings, inspired by children's visual development. The method improves contrastive learning models' effectiveness by incorporating simulated spatial context information, outperforming base models in various tasks.
Cleveland Clinic and IBM researchers develop a hybrid framework combining quantum and classical computing methods for protein structure prediction. This approach overcomes limitations of current classical methods and demonstrates improved accuracy in predicting protein structures.
The study enhances shape-from-shading technique to create detailed models of lunar terrain with higher resolutions and faster production speeds. Researchers use advanced computer algorithms to automate the process, resulting in more accurate maps that show subtle features and variations of lunar surface terrain.
Researchers at Lancaster University and Radboud University Nijmegen have discovered a novel pathway to modulate and amplify spin waves at the nanoscale, paving the way for dissipation-free quantum information technologies. The study's findings could lead to the development of fast and energy-efficient computing devices.
Elastic turbulence, a chaotic fluid motion in non-Newtonian fluids, exhibits universal power-law decay of energy and intermittent behavior. This study reveals its unexpected similarity to classical Newtonian turbulence, paving the way for developing a complete mathematical theory and predicting flow patterns.
Researchers from the University of Bath have created a deformable screen called DeformIO, which can be deformed through finger pressure. The surface becomes softer or stiffer in direct response to force applied, allowing users to interact with digital objects in a more tactile way.
Researchers in Portugal have developed an innovative open-source platform called DL4MicEverywhere, providing life scientists with easy access to advanced artificial intelligence for the analysis of microscopy images. The platform enables researchers to easily train and use deep learning models on their own data, regardless of their com...
A novel multifunctional catalyst has been developed to convert methane into valuable hydrocarbons, reducing greenhouse gas emissions and energy consumption. The catalyst's spatial distribution of Cu and acid sites determines the final products, with uniform distribution leading to stable and efficient methanol production.
Salk scientists develop new method to quantify synaptic features, revealing high precision of plasticity and up to 10 times more storage capacity. The technique uses information theory to analyze synapse pairs from a rat hippocampus, offering a scalable approach for studying brain function.
Researchers created a digital twin model that predicts and controls complex systems, achieving higher accuracy than traditional methods. The algorithm is compact, energy-efficient, and easy to implement, making it suitable for self-driving vehicles and other dynamic systems.
A research team from USTC proposed a novel design approach for GRN generators, accommodating arbitrary σ values and output ranges. They introduced a scaling index to adjust relevant values differently based on varying σ values, resulting in a stable error curve and facilitating real-time configuration of σ values.
A new AI method developed by Swedish researchers can identify toxic substances based on their chemical structure, potentially replacing animal testing. The method has been shown to be more accurate and broadly applicable than existing computational tools, offering a promising alternative for environmental research and authorities.
Researchers designed a new AI model that accurately predicts treatment outcomes for stroke prevention in people with heart disease. The model, called CURE, was trained on a massive dataset of de-identified patient information and fine-tuned to focus on specific health conditions and treatments.
A team of astronomers and citizen scientists has discovered a planet in the habitable zone of an unusual star system, including two stars and potentially another exoplanet. The newly discovered planet, TOI 4633 c, boasts the second-longest orbit of any planet discovered with TESS data.
A mathematical model developed by Alexandre Solon and Eric Bertin describes the movement of particles in situations similar to cars on a road or bacteria attracted to a nutrient source. The model identifies conditions that favor traffic jams, including high vehicle density and driver inertia.
A team of researchers from Shibaura Institute of Technology developed a self-folding origami gripper that can be mounted onto drones, enabling them to grasp and hold objects. The gripper weighs only 5 grams but demonstrates grasping force equivalent to holding a 130-gram object.
Using AI software called SLEAP, scientists at Salk Institute are designing climate-saving plants with optimized root systems that can store more carbon. This approach enables researchers to analyze plant features and connect desirable traits to targetable genes, accelerating the development of carbon-capturing plants.
Researchers have achieved record speeds of up to 900 m/s by moving magnetic skyrmions using electrical currents. This breakthrough offers new prospects for developing higher-performance and less energy-intensive computing devices.
Egg cells generate internal fluid flows to transport nutrients, but how these flows arise has been a mystery. Researchers used computational models and experiments to understand the mechanics of twister-like fluid flows, revealing their origin from microtubules and molecular motors.
A new machine-learning approach outperforms human testers in generating diverse prompts that trigger a wider range of undesirable responses from chatbots. The technique provides a faster and more effective way to ensure the safety of large language models.
A new statistical-modeling workflow can quickly identify molecular structures of products formed by chemical reactions, accelerating drug discovery and synthetic chemistry. The workflow also enables the analysis of unpurified reaction mixtures, reducing time spent on purification and characterization.
Belgian scientists developed AI models to predict beer ratings and aroma compounds, improving beer quality. The study analyzed hundreds of beers and used machine learning to connect chemical concentrations with appreciation scores.
Researchers from Massey University and Michigan State University discuss the limit of the periodic table with recent advances in superheavy element research. They aim to uncover properties of atoms and nuclei beyond the current atomic number and mass.
A novel mixed light field technique was developed to achieve immersive augmented reality experiences in bright environments, preserving natural shadows and contrast. The approach utilizes ray-controlled lighting and a binary search algorithm to remove ambient lighting from PM targets.
Researchers are developing a satellite-based quantum light source for secure communication, leveraging the laws of physics to encode and transmit data. The technology has the potential to extend quantum cryptography over long distances, enabling secure communications between cities or continents.
New research combines images with computer-enabled analysis to tackle biological questions globally. Imageomics aims to improve image classification and analysis using machine learning and computer vision, enabling faster scientific discoveries.
Researchers aim to address LVAD shortcomings, reducing blood damage and clotting risk through innovative designs and coatings. A novel flexible stented blood inlet and slippery hydrophilic coatings will be used to prevent flow stasis and clot formation.
Researchers at Tohoku University have developed a high-performance spin wave reservoir computing model that utilizes spintronics technology. The breakthrough could lead to energy-efficient, nanoscale computing with unparalleled computational power.
Scientists create detailed models of the terrestrial water cycle using high-resolution satellite data to predict floods, droughts, and other extreme events. The Digital Twin Earth Hydrology Platform allows for interactive simulations and visualizations to enhance flood and landslide prediction and optimize water resource management.
Two new studies explore the link between attention and eye movements, showing that attention can be lost when objects change suddenly before gaze falls on them. Researchers also found distinct neuronal signatures in primate visual cortex for attention and eye movement signals.
Researchers at UCSF used clinical data and a precision medicine approach to identify early risk factors for Alzheimer’s disease, predicting its onset with 72% accuracy. High cholesterol, osteoporosis, and erectile dysfunction were found to be predictive factors in both men and women.
Scientists used Delta's GPU-based architecture to study the life cycle of the Hepatitis B virus, revealing how it binds human proteins called importins. The research provides a platform for developing inhibitors that could block this interaction and prevent the virus from accessing the nucleus.
Scientists at University of Utah and University of Massachusetts Amherst uncover the physics behind dopant-polymer interactions that explain inconsistent conductivity issues in organic materials. The discovery reveals that a critical mass of electrons triggers collective screening, allowing rest of electrons to flow unimpeded.
Researchers at Virginia Tech's Fralin Biomedical Research Institute found applying low-intensity focused ultrasound to the brain can reduce pain perception, brain activity, and cardiac responses. The non-invasive technique may provide a new therapeutic option for chronic pain treatment.
Researchers from Argonne National Laboratory and the University of Illinois Urbana-Champaign used generative AI to quickly assemble over 120,000 new MOF candidates for carbon capture. The approach combines AI with high-throughput screening, molecular dynamics simulations and theory-based design to identify optimal materials.
A recent study from Argonne National Laboratory has uncovered new insights into the relationship between genetic ancestry and prostate cancer risk. The research, which included large increases in representation among men of African, Hispanic, and Asian ancestries, found 187 new genetic markers that provide more accuracy in calculating ...
Scientists at the University of Rochester discovered that even small differences in grain shape can significantly alter grain segregation in dry and wet conditions. The study highlights the importance of interdisciplinary research to better understand and predict geohazards and alleviate segregation issues in industrial flows.
Research suggests that planetary migration is the key to explaining the mysterious gap in the size distribution of super-Earths. Simulations show that sub-Neptunes' evolution contributes to the observed radius valley, while rocky planets 'shrink' by losing their atmosphere.
A new technique enables researchers to identify and control a greater number of atomic-scale defects in diamonds, which can be used to build larger systems of qubits for improved quantum sensing. This approach uses a specific protocol of microwave pulses to locate and extend control to additional defects.
The new camera data from SPT-3G telescope promises even more detail on the universe's origins and nature. Scientists measured faint light known as cosmic microwave background, which is the afterglow of the Big Bang.
Scientists have created an algorithm to design synthetic DNA segments that indicate the state of cells in real-time. This tool will be used to screen for anti-cancer or viral infection drugs, as well as improve gene and cell-based immunotherapies.
A team of researchers from the universities of Mainz, Olomouc, and Tokyo has successfully generated a logical qubit from a single light pulse that can correct errors. This breakthrough uses a photon-based approach to overcome the limitations of current quantum computing technology.
Researchers at University of Virginia Health System developed a new approach to machine learning that identifies drugs minimizing harmful scarring after heart attacks. The tool predicts and explains drug effects for other diseases as well.
Researchers have discovered that magnetostriction causes a magnetic phase transition in manganese oxide at 118K, leading to the switch of muon sites. The study uses advanced simulations and resolves a long-standing puzzle, shedding new light on antiferromagnetic oxides.
Researchers used simulations to model HIV's journey into the nucleus, finding it uses an electrostatic ratchet to squeeze through. The study provides insights into the complex interactions between the virus and cell, suggesting new targets for therapeutic drugs.
Researchers have invented a simple yet effective algorithm called SIEVE to optimize cache management. By labeling objects as 'zero' or 'one', the system efficiently evicts the least recently used items, reducing computational complexity and bugs.
A new study by Northwestern University found that lab-trained AI models are easily misled by tissue contaminants, resulting in errors in diagnoses and vessel damage detection. The researchers suggest improving the problem of quantifying and addressing biological impurities in AI models to enhance accuracy.
By 2050, at least 34% of Alpine ice volume will be lost even if global warming stops. This is based on a new study predicting near-term ice loss due to climate inertia.
A team from Tokyo Institute of Technology has developed a method to remotely monitor nuclear reactors using antineutrinos. The approach, published in the Journal of Nuclear Science and Technology, could help prevent the manufacturing of materials for nuclear weapons.
Gurdip Singh's project aims to develop a unified model to study cyber-physical systems and design distributed algorithms for fundamental problems in pervasive systems. The proposed model will be integrated into existing simulation tools to evaluate scenarios involving different types of physical entities and phenomena.
The METEOR Expedition M197 is a research project studying the Eastern Mediterranean Sea's future changes in response to climate change and human activities. The project investigates nutrient supply, marine ecosystems, and carbon export from surface to deep waters.
Scientists at the University of Washington School of Medicine developed a novel protein design approach using AI, creating proteins that bind to challenging biomarkers with exceptionally high affinity and specificity. The breakthrough has implications for drug development, disease diagnosis, and environmental monitoring.