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.
A team of researchers developed an algorithm that can predict when narwhals hunt, opening up new insights into their life and behavior. The algorithm uses acoustic data from clicks and buzzing sounds to map the whales' movement patterns and identify hunting areas.
Researchers aim to improve search results by accounting for users' systematic biases, which can lead to misleading information and poor decision-making. The project seeks to build bias-aware prediction models and promote informed, unbiased decision-making through proactively capturing bias-related search problems.
Using a computer-aided, multi-material 3D-printing method, researchers have created custom healthcare devices with tailored shapes and functions to enhance patient wellbeing. The technique offers a solution for mass-produced medical devices by providing bespoke designs that can improve comfort and durability.
Researchers developed an AI algorithm using 20,000 nights of sleep data to improve diagnoses and treatments for sleep disorders. The algorithm can analyze patient sleep patterns in seconds, freeing up medical hours that can be used to assess and diagnose more patients.
A team of bioengineers defined ten overarching classes of constraints on early metabolic networks based on basic chemistry and physics. These abiotic constraints dictate fundamental aspects of chemical processes, influencing the evolution of alternative transport systems and stress response mechanisms.
A new algorithm allows solving applied problems like electrodynamics and hydrodynamics with a significant time gain of up to 50%. The method uses asynchronous processes and non-overlapping subdomains, providing accurate results with less computation time.
Researchers at Stanford University have developed a new prototype software to facilitate pattern-making in foundation paper piecing quilting. The algorithm is based on a graph structure called a hypergraph and allows users to design patterns without having to consider the geometry, ordering, and constraints of the technique.
Researchers developed algorithms to solve curvature-dependent image processing problems using convex optimization, inspired by Euler's elastic curves and Gestalt laws of perception. The new models perform as well as current deep-learning algorithms but provide a deeper understanding of the structures learned.
Researchers at Brown University have developed an algorithm that can remove electrical artifacts from brain signals, enabling simultaneous recording and stimulation in deep brain stimulation devices. This breakthrough could lead to more effective DBS therapy with fewer side effects.
A RUDN mathematician has developed an algorithm that allows for the optimal distribution of computing tasks between IoT devices and the cloud, resulting in a reduction of power and time costs by about three times. The algorithm also protects devices from malware during data transmission.
Researchers developed a neuromorphic chip that can detect high-frequency oscillations and recognize complex biosignals in real time. The technology has the potential to improve neurosurgical interventions and monitor epilepsy outside of hospitals.
A team of UK scientists aims to improve understanding of Deep Learning algorithms' decision-making process, making them more trustworthy. The project will combine theory, modeling, data, and computation to unlock the next generation of deep learning.
A new AI algorithm developed by TUM and Imperial College London can detect pneumonia in pediatric x-ray images while maintaining patient privacy. The algorithm uses federated learning, secure aggregation, and differential privacy to keep data onsite and prevent individual identification.
Scientists at JAIST explored the connection between game-playing search tree algorithms and human decision-making, proposing two indicators - PPN and SCN - to analyze potential future states. These findings have applications in AI, optimization problems, and entertainment analysis.
Researchers developed a machine learning technique that measures topological traits of cell clusters, accurately categorizing them and inferring cellular behavior. The algorithm uses persistent homology to examine microscope images and identifies persistent topological objects that can be used to classify cells.
Research shows that removing 'race correction' from pulmonary function test results reveals a higher prevalence and severity of lung disease among Black patients. The study found an increase in the percentage of patients with any pulmonary defect from 59.5% to 81.7%, indicating a significant difference.
A research team from Iowa State University has developed a way to control hard-to-predict systems. The technique uses quotienting to identify the least fixed-point operator, which can result in a new model that acts as a supervisor of the system.
Researchers have created a software that can decode brain signals to translate mental handwriting into text on a computer screen. The technology, called 'mindwriting,' has been tested on a man with full-body paralysis and achieved speeds of over 18 words per minute, rivaling those of able-bodied peers.
A new brain-computer interface (BCI) system has been developed to restore communication in people with spinal cord injuries and neurological disorders. The system uses mental handwriting to record brain activity, allowing participants to compose sentences and communicate at a speed comparable to typing on a smartphone.
A new computational method enables researchers to design functional magnonic devices in a shorter time, overcoming traditional limitations. The approach uses inverse design and intelligent algorithms to create devices with multiple functionalities.
A scientist from HSE University has developed an image recognition algorithm that speeds up real-time processing of video-based image recognition systems by up to 40%. The algorithm uses a sequence of convolutional layers and fine-tuning to achieve accurate results while controlling loss in accuracy.
Researchers developed AI algorithms that assess unconsciousness in patients based on brain activity with high accuracy and reliability. The algorithms outperformed existing methods in real-world testing, distinguishing between conscious and unconscious states in surgery patients.
Eliminating race-based adjustments in equations to estimate kidney function may lead to significant changes in medication prescribing practices for Black adults, according to a new study. The findings suggest that this change could result in lower eGFR values and potentially impact treatment outcomes for diabetic patients.
A KAIST research team creates T-GPS, enabling the processing of large-scale graphs without storing them in main memory or on disks. This allows for faster computation and reduced costs compared to traditional approaches.
A new real-time 3D motion tracking system combines transparent light detectors with advanced neural network methods to enable fast tracking speed, compact hardware, and lower cost compared to existing solutions. The technology has promising applications in automated manufacturing, biomedical imaging, and autonomous driving.
Researchers adapted an algorithm to identify similarities in escort ads, highlighting common parts and indicating potential human trafficking activity. The InfoShield algorithm outperformed other algorithms at identifying trafficking ads with 85% precision, flagging them without false positives.
Researchers developed an algorithm to screen for pulmonary arterial hypertension in scleroderma patients, outperforming standard methods. The algorithm correctly identified all 10 patients with the condition in a study of 68 subjects.
Researchers created synthetic hearts using statistical shape analysis to identify how heart shape relates to function. The study included 1000 new synthetic hearts made open access for testing and analysis.
A recent study by University of Georgia researchers found that people are more likely to rely on algorithms for decision-making, even when faced with complex challenges. As the task becomes harder, people prefer algorithm-generated suggestions over human advice or 'wisdom of the crowd', according to the study.
Researchers at Penn State develop a new framework for meta-assembly, allowing for accurate reconstruction of full-length mRNA sequences from short fragments. This enables better understanding of cell machinery and potential biomarkers for diagnosis.
Researchers at Shibaura Institute of Technology developed a camera-based support system that accurately detects tactile paving. The new image processing algorithm can detect tactile paving up to 91.65% of the time, improving safety for visually impaired individuals.
Researchers at UOC are developing a system to analyze and digitize agricultural data, using machine learning and intelligent algorithms to personalize customer targeting and improve sales processes. The project aims to give small enterprises more competitive tools, with potential impact on other sectors.
Christopher Musco, an assistant professor at NYU Tandon, received a $562,224 NSF grant to develop new algorithms for processing massive data sets. His project aims to democratize big-data modeling and advance US mathematics education through closer ties with STEM fields.
Researchers used ship movement data to estimate wave conditions in real time, without extra costs for measurement instruments. The approach combines cause-and-effect calculations with ship geometry and dynamic motions.
A new satellite-measured Solar-induced Chlorophyll Fluorescence (SIF) product is introduced to enhance carbon neutrality research. The SIF product, developed using a physical-based algorithm named IAPCAS/SIF, retrieves emission data from two micro-windows within the O2 A-band.
UofL and Medtronic will develop a closed-loop system to monitor and adjust stimulator settings for multiple functions, including locomotion and bladder control. The project aims to improve the lives of people with spinal cord injury by reducing manual interaction and increasing positive outcomes.
A machine learning algorithm has been shown to accurately predict adult patients at risk of attempting or experiencing suicidal thoughts. The Vanderbilt Suicide Attempt and Ideation Likelihood (VSAIL) model uses routine health records to identify those who should receive further screening, potentially directing limited resources where ...
After solving the sum of cubes puzzle for 42, researchers found a new solution for 3 using an optimized algorithm that utilized mathematical 'sieving' techniques. The discovery suggests there may be infinitely many more solutions for other values of k, with the next solution involving gigantic 21-digit numbers.
Clinical algorithms that adjust for race can cause harm to patients by delaying access to additional tests and treatments, according to a new article. The authors argue that the medical community must step up to achieve consensus on paths forward to address racial inequities in health care.
A multidisciplinary team of scientists has developed a new way to detect phase transitions in raw data by analyzing its intrinsic dimension, a statistical property that reveals collective properties of partition functions. This method is agnostic and does not require prior knowledge of the system's parameters.
A recent study published in Information & Management found that human analysis can effectively identify fake online reviews by leveraging linguistic characteristics. Researchers asked participants to distinguish between authentic and fake hotel reviews, with surprisingly effective outcomes.
A new study proposes a modeling framework for V2V and V2I cooperative driving, which prioritizes saving fuel and reducing emissions. The automated algorithm saves energy by 7% under light traffic and 23% under heavy traffic along the corridor.
Researchers at Princeton University have created a new microchip design that enables AI systems to process data closer to the edge of computing infrastructure. The innovative design reduces power consumption and latency, making AI more accessible and efficient.
Researchers at Texas A&M University have developed an algorithm that uses reinforcement learning to automate the prediction of subsurface environments. The algorithm accurately forecasts oil and gas reserves by providing feedback on rewards and penalizing unfavorable predictions.
Yingyan Lin, an assistant professor at Rice University, has received a $400,000 NSF CAREER Award to develop more efficient deep learning hardware accelerators. Her goal is to push forward ubiquitous intelligent devices and green artificial intelligence, addressing the gap between complex algorithms and limited resources.
A new AI algorithm enabled a fully automated artificial pancreas system to achieve improved glucose control without manual input of meal or exercise information. This breakthrough could lead to more efficient and hassle-free diabetes management.
Scientists used fNIRS to analyze brain activity and develop an algorithm to predict autistic traits severity with over 90% accuracy. The new technology is more accessible than fMRI for diagnosing autism spectrum disorders.
A recent study found that Google Scholar systematically relegates non-English language documents to invisible positions, even among quality articles with hundreds of citations. This bias can have detrimental effects on researchers from non-English speaking countries, leading them to believe there is no literature in their native language.
A new system called SpAtten enables more streamlined NLP with less computing power, achieving speeds of over 100 times faster than competing general-purpose processors and reducing energy consumption by over 1,000 times.
A machine-learning algorithm developed at UT Southwestern estimates that the number of COVID-19 cases in the US is nearly three times that of confirmed cases, with over 71 million people estimated to have contracted the virus. The algorithm provides daily updated estimates of total infections and the number of people currently infected...
Researchers at Geisinger Health System developed an AI algorithm using echocardiogram videos to predict mortality within a year. The model outperformed other clinically used predictors and improved cardiologists' prediction accuracy by 13 percent.
The Ramanujan Machine generates mathematical conjectures without proof, imitating Ramanujan's intuition using AI and computer automation. It has already produced known formulas for pi, Euler's number, and other constants, as well as several unknown conjectures.
Researchers from HSE University developed a new method to process MEG data, enabling cortical activation areas with higher precision. This improvement allows for better diagnosis of neurological disorders and preparation for brain surgery.
Researchers from RUDN University found a way to reduce the size of a trained neural network by six times without retraining, achieving significant storage volume reduction and minimal accuracy loss. The new method leverages correlations between initial and simplified weights, eliminating the need for post-training.
Machine-learning algorithms are trained on large datasets to predict the performance of organic solar cells, identifying key parameters such as electronic gap and charge transport balance. This study demonstrates a new approach to predicting material efficiency, paving the way for further analytical models and more complex system under...
Researchers from Universitat Rovira i Virgili and Institute of Materials Science of Barcelona have combined experimental data with algorithms to enable an unprecedented predicting capability of the performance of organic solar cells. The study uses a new experimental method to generate large datasets, which are then used to train machi...
Researchers at Texas A&M University developed a deep-learning algorithm that can denoise images to reveal otherwise invisible details. The algorithm, called global voxel transformer networks (GVTNets), uses adaptive receptive fields to capture information in the overall image structure.
Researchers have detected bias in face recognition algorithms, with higher false positive rates for females with dark skin tone and males with light skin tone. Top winning solutions exceeded 99.9% accuracy, but the analysis of top 10 teams showed that overall accuracy is not enough when building fair face recognition methods.
A new algorithm called Meta-Apo reduces the need for expensive whole-genome sequencing to understand microbial function, improving consistency with 16S rRNA gene amplicon results. This approach enables accurate diagnoses like gingivitis improvement from 65% to 95% using low-cost 16S-amplicon sequencing.
Researchers at Università di Trento developed RoomTetris algorithm to efficiently allocate rooms, increasing hotel occupancy rates and profits. The software has shown promising results in tests, with potential to double profitability for some hotels.