Articles tagged with Computational Science
Studies have shown that collaborative teams working remotely produce fewer truly disruptive ideas compared to their in-person counterparts. In-person teams tend to engage in more conceptual work, such as conceiving hypotheses and writing, which is more likely to lead to radical new ideas.
Dr. Ning Zhang's AntiFake tool uses adversarial techniques to make it difficult for AI tools to read voice recordings, preventing synthesis of deceptive speech. The tool has achieved over 95% protection rate against state-of-the-art speech synthesizers and is accessible to diverse populations.
A new wearable ultrasound patch can accurately image organs within the body without traditional ultrasound equipment, enabling earlier detection of cancers deep within the body. The patch is designed to measure bladder volume, providing valuable insights into kidney health and wellness.
Researchers successfully trapped electrons in a three-dimensional material, creating an electronic flat band that can lead to exotic behavior such as superconductivity. The kagome-inspired geometry of the crystal allows for stable trapping of electrons in all three dimensions.
Scientists have developed an AI system that accurately maps the surface area and outline of giant icebergs in one-hundredth of a second. This technology surpasses manual interpretation methods, which can take several minutes to delineate an iceberg's outline, and offers insights into their impact on the polar environment.
Researchers link tobacco smoking to 'stop-gain mutations' that disable tumor-suppressing proteins, allowing abnormal cells to grow unchecked. Smoking's impact on DNA is linked to increased stop-gain mutations, complicating cancer diagnosis and treatment.
A team of researchers has developed a novel methodology to engineer colloidal quasicrystals using DNA-modified building blocks, revealing new avenues for nanoscale design. The study demonstrates the programmable nature of DNA to design and assemble quasicrystals deliberately.
Researchers are combining biology, physics, computer science, and engineering to design electric circuits that mimic the brain's adaptive behavior. The goal is to create a more efficient AI application that can learn from history and adapt without significant energy consumption.
Researchers train AI to analyze data from over 100 cellular drug targets and their genetic variations. The algorithm predicts with more than 80% accuracy how cell surface receptors respond to drug-like molecules.
The University of Texas at San Antonio has been selected to establish a Secure Manufacturing Tech Hub with a $500,000 grant from the US Economic Development Administration. The consortium aims to grow a skilled workforce, enhance business competitiveness, and promote secure manufacturing strategies across South Texas.
A new study suggests that Venus once had plate tectonics similar to those on early Earth, which could have supported microbial life. The researchers used atmospheric data and computer modeling to show that the planet's current atmosphere and surface pressure would only be possible with an early form of plate tectonics.
A new study using satellite imagery found that fires in boreal forests shift from coniferous to deciduous trees, but these changes are reversible over time. The study's findings suggest that continued climate warming and increased wildfire activity could lead to pronounced changes in forest composition.
Researchers from BSC and CSIC have developed an artificial protein capable of degrading PET micro- and nanoplastics with efficiency between 5 and 10 times higher than current PETases. The protein can be used as filters to purify or recycle plastics, offering a potential solution to environmental pollution.
The Arctic Permafrost Atlas reveals alarming changes in landscapes, ecosystems, and human lives due to climate change. Over five million people are at risk of losing frozen ground beneath their feet by 2050, with significant economic implications for oil and gas production.
Researchers have created a three-dimensional computer simulation of the light emitted following a neutron star merger, producing results similar to an observed kilonova. The simulation takes into account various processes and material interactions, enabling predictions for any viewing direction.
Scientists identified two genes, ADRA2A and IRX1, that predispose individuals to Raynaud's phenomenon. The genes affect the body's ability to regulate blood vessel constriction, leading to white fingers and toes in response to cold or stress. The study provides new insights into the disease and potential treatment options, including th...
Researchers found that deep neural networks often respond the same way to images with no resemblance to the target, generating unnatural signals. The models develop unique invariances that are different from human perceptual systems, causing them to perceive pairs of stimuli as similar despite their differences.
Researchers from Mindgard and Lancaster University exposed vulnerabilities in major Large Language Models (LLMs) that can be copied for as little as $50. This 'model leeching' attack allows attackers to gain insights into how LLMs work, enabling them to launch targeted attacks with an increased success rate.
A new study doubles the number of protein families known up until now and identifies many novel structure predictions using a massive analysis of 1.3 billion proteins. The researchers leveraged AI methodologies to unravel the roles of previously unknown protein sequences, expanding the horizons of potential functions.
Researchers at the University of Virginia Health System are developing computer models to better understand the cellular processes and gene activity of multi-drug resistant bacteria Staphylococcus aureus and Pseudomonas aeruginosa. The goal is to identify vulnerabilities in these bacteria and advance the development of new treatments.
Osaka University researchers have developed an AI-driven algorithm to control indoor heating and cooling systems, achieving significant energy savings of up to 30%. The system learns the symbolic relationships between variables, including power consumption, based on a large dataset, ensuring comfortable temperatures despite winter cond...
Researchers developed a scalable framework to quantify field-level agricultural carbon outcomes, integrating sensing techniques and advanced ecosystem models. The study provides a reliable method for measuring individual farm field-level greenhouse gas emissions and offers insights into the impact of farming practices on climate change.
A new AI method leverages causal relationships in genome regulation to efficiently identify optimal genetic perturbations for cellular reprogramming. The technique reduces experimental costs by prioritizing the most informative interventions, leading to faster convergence and more effective results.
Researchers at UVA Health System have developed a powerful new tool to understand how medications affect men and women differently. The model has provided unprecedented insights into biological processes in the liver, helping ensure that new medications will not cause harmful side effects.
Researchers have developed a new semiconducting material called multielement ink that can be processed at low temperatures, paving the way for more sustainable semiconductor industry. The breakthrough enables faster and lower-energy production of semiconductors, which could significantly reduce carbon emissions.
The UCLA-led team has developed a solution to improve cryo-electron microscopy's imaging capabilities for smaller protein molecules, enabling higher-resolution images. This advance is expected to help researchers identify specific locations on proteins that can be targeted for therapeutic purposes.
Researchers aim to access ocean waters hidden beneath ice shelves, where critical information about climate change is stored. An intelligent mothership and coordinated marine robots will communicate data from under-ice cavities, optimizing sampling and configuration.
GlowTrack, a non-invasive movement tracking method using fluorescent dye markers, improves the capture of diverse movements in laboratories. This technique enables easier comparison of movement data between studies, increasing scientific discovery and advancing fields like biology, robotics, and medicine.
Researchers at MIT have developed a novel superconducting qubit architecture that can perform operations between qubits with high accuracy, exceeding 99.9% for two-qubit gates and 99.99% for single-qubit gates. The new design utilizes fluxonium qubits, which have longer lifespans than traditional transmon qubits.
Scientists have introduced a novel approach to change the shape of azobenzenes using visible light, enabling efficient and practical applications. The new supramolecular complex, called DESC, harnesses the power of red wavelengths to prompt molecular transformations.
Researchers have successfully developed a robot that can autonomously navigate through living lung tissue, avoiding vital structures such as airways and blood vessels. This innovation enables surgeons to reach previously inaccessible small tumors, improving treatment outcomes for patients with lung cancer.
A Tohoku University research team developed a technique to recreate water flow in real-time using only a small amount of data from real water. This technology enables the creation of immersive VR games with lifelike water motion, potentially enhancing online communication and remote interactions.
Researchers from the University of Oldenburg developed a new stochastic method to mitigate sudden swings in wind turbine power output. The study found that control systems are mainly responsible for short-term fluctuations and can be optimized to ensure more consistent energy output.
A new study published in Genome Biology analyzed the genomes of 2000 dogs from 321 breeds, revealing 25 major groups that match expected breed origins. The research found significant genetic variation among breeds, with wolves exhibiting 14% more variation than dogs.
The WVU team evaluated Code Interpreter's features, finding it accessible to students but limited for scientists working with biological data. The plugin breaks down barriers for coding, but lacks internet access and parallel processing capabilities.
MIT researchers developed a new algorithm that can execute complex maneuvers like loops and rolls for tailsitter aircraft, enabling agile trajectories with fast-changing accelerations. The algorithm uses differential flatness to ensure feasibility and planning in real-time.
The team successfully completed the sequencing of the Y chromosome using long-read sequencing technology and innovative computational assembly methods. This achievement adds 41 additional protein-coding genes and provides crucial insight into reproduction, evolution, and population change.
Scientists estimate annual probability of a mass shooting in every US state and public places like schools, using statistical methods and computer simulations. The study finds that mass shootings are low-probability but high-consequence events.
Researchers develop a new model predicting up to twice the original amount of subglacial water may be draining into the ocean, accelerating glacial melt and sea level rise. The theory uses satellite measurements and is a simple equation that can predict exfiltration in a fraction of a second on a laptop.
Researchers propose a hypothesis that astrocytes, non-neuronal cells in the brain, can perform core computation as transformers, providing insights into human brain function and machine learning success. This discovery could spark future neuroscience research and help explain transformer performance across complex tasks.
Researchers successfully created stem-cell derived organoids from human stem cells that secrete three essential enamel proteins. These proteins form a matrix that undergoes mineralization to create a hardened enamel structure. The breakthrough offers hope for developing novel treatments to repair and regenerate teeth.
A new study found that a massive North Atlantic cooling event led to the disruption of early human occupation in Europe, with climate stress changing the course of early human history. The study used observational and modeling evidence to document the unprecedented climate anomaly.
A recent study reveals that past climate changes and vegetation shifts played a key role in determining when and where early human species interbred. The research suggests that the overlap of habitats led to increased encounters and interactions among groups, increasing the chance of interbreeding.
A new machine-learning method, BigMHC, can accurately predict cancer-related protein fragments that may trigger an immune system response. By leveraging massive data through transfer learning, BigMHC enables scientists to develop personalized immunotherapies and vaccines by identifying the most likely to provoke an immune response.
A recent study by GEOMAR researchers found that fluctuations in the Labrador Sea can significantly influence the strength of sinking processes east of Greenland. This phenomenon affects the Atlantic Meridional Overturning Circulation (AMOC), a crucial climate system that brings warm water from the Gulf of Mexico to Europe.
Astronomers have created the first computer simulations showing how convection in the cores of massive stars generates waves that result in flickering starlight. The effect is different from the visible twinkling of stars in the night sky and could be observed with improved telescopes.
Researchers created a digital replica of patients' hearts to inform arrhythmogenic right ventricular cardiomyopathy (ARVC) diagnosis and treatment. The 'genotype-specific digital-twin' strategy could tailor therapies based on individual genetics, improving precision healthcare in other diseases.
Researchers developed an AI algorithm to predict the properties of new 2D materials with point defects, achieving 3.7 times greater accuracy than other machine learning algorithms. The model operates 1000 times faster than quantum mechanical computations and can handle multiple defects simultaneously.
Researchers at Michigan State University have discovered a way to utilize vibrations in quantum computing to prevent information loss. By tuning the vibrations experienced by qubits and understanding their impact on fidelity, the team can create more stable quantum states.
Researchers identify at least 10,000 novel foldable αβ-folds, expanding our understanding of the protein universe. The discovery has significant implications for fields like drug development and enzyme design.
Researchers created artificial allosteric sites in protein complexes using computational design to regulate concerted functions. This breakthrough holds promise for industry, biology, medicine, and agriculture.
Researchers created a detailed analysis of the domestic cat's nasal airway, revealing two distinct regions of air flow during inhalation. The study suggests that the cat nose functions as an efficient dual-purposed gas chromatograph, capable of detecting and separating chemicals quickly and efficiently.
Scientists at Argonne National Laboratory discovered a new fluoride electrolyte that can protect lithium metal batteries against performance decline. The electrolyte maintains a robust protective layer on the anode surface for hundreds of cycles, enabling the battery to last longer.
Researchers at the University of Waterloo discovered a method to bypass voice authentication security systems with high accuracy. They found that malicious actors can generate convincing copies of a victim's voice using deepfake software, evading existing spoofing countermeasures.
Researchers propose GREENER framework to promote sustainable research practices, reducing greenhouse gas emissions and maximizing benefits to humanity and environment. Key considerations include estimating energy consumption of algorithms, tackling embodied impacts through new collaborations, and relocating computations to low-carbon s...
BioAutoMATED is an all-in-one AutoML platform designed for biologists, enabling easy analysis and interpretation of biological sequences. The platform uses three existing AutoML tools to generate models that can predict biological functions from sequence information.
A new machine learning algorithm analyzed high-resolution digital images of herbarium specimens, revealing that factors other than climate have a strong effect on leaf size within a plant species. The study also demonstrates how AI can be used to transform static specimen collections and quickly document climate change effects.
African Superplume is responsible for rift-parallel deformation and seismic anisotropy in the East African Rift System, contradicting previous theories on plate-driving forces. The study uses 3D thermomechanical modeling to explain this phenomenon.
Researchers have made significant progress in reprogramming cells to supply the ribosome with building blocks other than alpha-amino acids. The ultimate goal is to make the translation system fully programmable, allowing for the production of an unlimited variety of new molecular chains with unique properties.
Researchers developed MOVA to evaluate the pathogenicity of missense variants based on their structural position. The new method showed superior performance in predicting pathogenicity, especially for hotspot mutations in ALS-causing genes like TARDBP and FUS.