Articles tagged with Algorithms
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers from the University of Washington created an AI algorithm to analyze infant poses using limited training data. By leveraging generative AI, they were able to produce high-quality results, enabling parents to monitor their babies' daily activities and detect potential health issues early.
Researchers have developed a new open-source algorithm called Conditional Variational Diffusion Model (CVDM) that improves the quality of images by reconstructing them from randomness. The CVDM is computationally less expensive than established diffusion models and can be easily adapted for various applications.
A new MIT-derived algorithm corrects coarse climate model predictions by 'nudging' them toward more realistic patterns, leading to more accurate forecasts of extreme weather events. The approach uses machine learning and dynamical systems theory to improve the resolution of large-scale climate models.
A recent study published in JAMA found that Black patients are less likely to receive a heart transplant than white patients, with odds of acceptance being higher for white candidates. The study also revealed that the intersection of race and gender often worsens access for Black women.
Researchers have proposed an innovative quantum algorithm that effectively solves combinatorial optimization problems with constraints in a short time. The pVSQA algorithm uses a quantum device to generate a variational quantum state and transform infeasible solutions into feasible ones, achieving near-optimal performance.
A new algorithm combines deep learning and transfer learning to retrieve advanced geosynchronous radiation imager (AGRI) aerosol optical depth with high accuracy. The approach facilitates feature selection and offers applicability to other multispectral sensors.
Researchers at Klick Labs developed an algorithm to detect deepfakes with 80% accuracy by analyzing speech pause patterns, offering a solution to the growing problem of AI-generated content. The study's findings suggest that vocal biomarkers can distinguish between real and fake voices, providing a novel approach to flagging deepfakes.
A recent study analyzed data from multiple social media platforms over three decades, finding that toxic interactions are a persistent aspect of online discussions. The study suggests user resilience to negativity and highlights the importance of understanding human behavior in digital environments.
A recent study integrates domain knowledge into data-driven machine learning models for well logging reservoir parameter prediction. The model, PINN, uses petrophysics constraints to guide training and improve accuracy, especially in cases with small sample sizes.
Researchers developed a new training tool to help AI programs account for human dishonesty, especially in mortgage and insurance applications. The modified AI was better able to detect inaccurate information from users.
A review published in Intelligent Computing outlines the strengths of automatic approaches to designing metaheuristics, which can lead to more successful outcomes and reduce redundant, metaphor-based algorithms. The authors encourage research that relies on automatic design, utilizing modular software frameworks and configuration tools.
Researchers at Bar-Ilan University discovered that each filter recognizes small clusters of images, with sharpened recognition as layers progress. This breakthrough can improve AI performance by reducing latency and memory usage while maintaining accuracy.
A 20-year analysis found that calcium and vitamin D supplements reduced cancer mortality by 7%, but increased cardiovascular disease mortality by 6% in postmenopausal women. The study suggested that cancer incidence depends on pre-supplementation status, while CVD mortality is higher among supplement users.
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 found counterexamples to ADOPT's termination and optimality properties, potentially leading to suboptimal solutions or failure to terminate. They proposed a modified version that corrects these issues, ensuring the algorithm's termination and optimality.
Researchers developed a deep learning algorithm to remove probe effects from AFM images, enabling the resolution of material features smaller than the probe's tip. This breakthrough allows for accurate three-dimensional surface profiles, crucial for nanoelectronics development and scientific studies.
A study compared traditional logistic regression models and machine learning algorithms to predict the best surgical technique for patients with submucosal tumors. The traditional regression approach was found to outperform ML algorithms, with morphology ranking as the highest contributor to prediction accuracy.
Explainable AI methods have been developed to make audio models more interpretable and transparent. Researchers categorize existing audio XAI methods into two groups: general methods and audio-specific methods, offering new possibilities for improving the trustworthiness of AI decision-making in audio tasks.
Researchers have defined what a premature aging disease is and developed tools to diagnose progeria patients, allowing them to identify new syndromes. The study also identified correlations between progeroid syndromes and other conditions, providing a significant step forward in understanding premature aging.
Researchers at the University of South Florida have created an algorithm that can reconstruct a hidden scene in 3D using an ordinary digital camera, enabling users to see around obstacles. The technology has broad applications in various fields, including car safety, law enforcement, and military efforts.
A new study from the Computational Social Science Lab at the University of Pennsylvania found that YouTube's recommendation system has a moderating effect on user behavior. Contrary to popular narratives, users' own political interests and preferences play the primary role in what they choose to watch.
Researchers at North Carolina State University are developing a suite of performance metrics to standardize the evaluation of self-driving labs in chemistry and materials science. These metrics aim to compare different lab technologies and identify areas for improvement, ultimately advancing the field and accelerating discovery.
A new AI tool, DeepGO-SE, successfully predicts the molecular functions of unknown proteins with high accuracy. This breakthrough enables researchers to analyze uncharacterized proteins, facilitating tasks such as drug discovery, metabolic pathway analysis, and disease associations.
A comprehensive online tool, Metrics Reloaded, has been developed to select suitable metrics for AI-assisted image analysis. The tool helps physicians and scientists identify relevant variables for their specific task, increasing understanding of key problems in AI-assisted image analysis.
Researchers at UC Santa Cruz find that popular link prediction metrics are flawed and do not accurately measure algorithm performance. They recommend using a new metric, VCMPR, to benchmark link prediction tasks and highlight the importance of accurate metrics in machine learning decision-making.
A new study from MIT researchers found that doctors are less accurate in diagnosing skin diseases based on images of patients with darker skin. The researchers also discovered that an artificial intelligence algorithm can assist doctors in improving their diagnosis, although the improvements were more pronounced for lighter skin tones.
Researchers from the University of Cambridge have developed a robotic sensor that reads Braille at twice the speed of humans, achieving 87% accuracy. The breakthrough uses machine learning algorithms to 'deblur' images and recognize letters, paving the way for potential applications in robotics and prosthetics.
Researchers have developed a novel optical neural network architecture that achieves nonlinear optical computation by precisely controlling ultrashort pulse propagation in multimode fibers. This approach streamlines the need for energy-intensive digital processes, achieving comparable accuracy with significantly reduced parameters.
Researchers at UTSA's Department of Physics and Astronomy have used deconvolution algorithms to enhance images of galaxy NGC 5728 obtained by the James Webb Space Telescope. The study reveals a faint extended feature that could be part of an outflow from a supermassive black hole interacting with the host galaxy.
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.
Researchers developed an AI-driven algorithm that accurately predicts death and complications after percutaneous coronary intervention (PCI). The tool uses patient feedback to provide a patient-centered, individualized risk prediction score.
The Lehigh University Plasma Control Group is working on advanced controls and machine learning to improve plasma dynamics simulation capabilities and stabilize superheated gases in future reactors. The goal is to address technological issues with ITER and FPP, ensuring safe and controllable operation.
Researchers at UB have developed a new deepfake detection algorithm that reduces biases in facial recognition, with one method classifying videos based on demographics and the other relying on features not visible to the human eye. The algorithms improved fairness metrics and reduced disparities in accuracy across races and genders.
Researchers from Bar-Ilan University discover a possible mechanism underlying the brain's efficient shallow learning, enabling it to perform complex classification tasks with similar accuracy as deep learning. The study proposes a wider and higher architecture as a complementary mechanism to deep architectures.
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.
Boleslaw Szymanski and his team developed a clustering method called SpeakEasy2: Champagne to group molecular data, which showed consistent performance across diverse applications. The method was tested on bulk gene expression, single-cell data, protein interaction networks, and large-scale human networks data, revealing its effectiven...
A computer vision system developed by University of Malaga engineers estimates vehicle speeds in real time using a single camera, reducing complexity and costs. The algorithm, published in Neurocomputing, aims to improve vehicle safety and has potential applications in autonomous driving and driver assistance.
Researchers developed a new solver algorithm for the MPAS-Ocean ocean circulation model, reducing run time by 45% and enabling semi-implicit stability. This allows for faster climate predictions and energy efficiency, as well as reduced computational power consumption.
A new commentary in JAMA Pediatrics recommends improving adolescents' media information literacy skills and promoting inclusive content to combat health misinformation spread on social media. This approach aims to harness the potential of social media as a tool for positive connections and mental well-being.
Researchers developed an adaptable machine learning algorithm to measure driver 'workload' using driving performance signals, enabling real-time adjustments to in-vehicle systems for enhanced safety and user experience. The system can respond to changes in the driver's behavior, status, road conditions, or characteristics.
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, decreasing energy consumption and eliminating the need for a digital twin. This approach is more biologically plausible and shows improved speed, robustness, and reduced power consumption compared to other methods.
New research from the Max Planck Institute challenges previous claims of giant exomoons around Kepler-1625b and Kepler-1708b. The study uses a computer algorithm to analyze observations, finding that 'planet-only' interpretations are more conclusive than initially thought.
A new software algorithm intelligently combines vocals and instrumentals from different songs, mimicking professional music composition techniques. The result is a unique blend of pleasing lyrics and exciting instrumentals that appeal to listeners, particularly hip-hop fans.
Researchers from MIT and ETH Zurich developed a filtering technique to simplify a key intermediate step in MILP solvers, speeding up the process by 30-70% without compromising accuracy. A machine-learning model is then used to pick the best combination of algorithms for a specific optimization problem.
A team of researchers at North Carolina State University has developed a new experiment to better understand human moral judgments in traffic scenarios. The study aims to collect data for training autonomous vehicles to make
Researchers have developed an AI algorithm that uses people's flavor impressions to make accurate predictions of individual wine preferences. The algorithm combines data from wine labels, user reviews, and sensory tastings to provide personalized recommendations.
A study led by Keck School of Medicine of USC used AI detection technology to analyze influencer content on TikTok between 2019 and 2022, finding an increase in posts that promote e-cigarettes. The prevalence of pod devices, e-juice flavor names, and nicotine warning labels increased significantly over time.
A new composite material, engineered using computer algorithms and 3D printing, can change its behavior in response to temperature changes. The material is designed to perform specific tasks depending on the environment, enabling future generations of autonomous robotics.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
Scientists at the University of Copenhagen and University of Victoria have developed an AI formula to predict rogue waves, which can split apart ships and damage oil rigs. The new knowledge can make shipping safer by identifying the likelihood of being struck by a monster wave at sea.
Researchers developed a novel method to model market regime dynamics using efficient frontiers. The approach outperforms benchmarks and provides interpretable results, allowing for better understanding of portfolio optimization.
A new theoretical framework evaluates the utilization efficiency of mobile power sources in power grids, considering various failure scenarios and structural resilience. The study emphasizes deploying mobile power sources to improve grid survivability and rapid recovery capabilities during disasters.
A new study published in The Journal of Finance and Data Science introduces the topological tail dependence theory, a methodology for predicting stock market volatility. The approach incorporates persistent homology information, enhancing the accuracy of models and detecting complex correlations.
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.
A new smartphone app using the APRI+ALBI score increases the safety of liver surgery by providing an individualized risk assessment for patients prior to resection. The score offers a cheaper and less invasive option with comparable predictive power compared to standard preoperative tests.
A new deblurring algorithm has been developed to improve the resolution of microscopy images without amplifying noise. This breakthrough technique, called 'deblurring by pixel reassignment,' uses local gradients to sharpen images while preserving larger structures.
A team of researchers at Tampere University and Eastern Washington University used weather records to validate the effectiveness of musical characteristics in enhancing data interpretation. The study found that musical sounds can be a powerful complement to traditional data visualization methods.
A new AI-driven mapping study from the University of Copenhagen has discovered a billion tons of hidden biomass in Europe, including trees outside forested areas. The research found that countries like Denmark, Netherlands, and UK have significant tree cover outside forests, which can impact biodiversity and climate models.
A brain-computer interface (BCI) has been successfully used to restore control of home devices for a patient with ALS, allowing the individual to navigate a communication board and smart devices without recalibration. The BCI device was implanted on the surface of the brain areas responsible for speech and upper limb function, enabling...
A new study published in the University of East Anglia shows that automated insulin delivery technology can help pregnant women with type 1 diabetes better manage their blood sugars. The technology, known as Hybrid Closed-Loop or Artificial Pancreas, helps to substantially reduce maternal blood sugars throughout pregnancy.