Articles tagged with Software
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 EMOKINE software to measure the objective kinematic features of movements that express emotions. The software provides movement parameters from data sets at the touch of a button, allowing scientists to analyze emotional expression and intentions.
The WVU researchers developed a non-invasive, at-home sleep apnea detection device that uses artificial intelligence technology to measure oxygen levels in the blood. Early detection can help prevent worsening of underlying comorbid conditions and reduce healthcare costs, according to Dr. Sunil Sharma.
A new study identifies six best practices for addressing non-functional requirements (NFRs) to ensure software security and performance. The research highlights the importance of NFRs in determining software quality and success, and how developers discuss and manage these requirements.
Researchers developed a symbolic model checking approach to verify quantum circuits, addressing the gap between model-checking quantum programs and quantum circuits. They used Maude programming language to formally specify and verify quantum circuits, confirming their correctness and paving the way for error-free quantum computing.
The University of Bonn has developed an AI software that can simulate the growth of field crops using drone photos. This allows farmers to estimate parameters such as leaf area or yield with high accuracy, and even predict the outcome of certain interventions. The software also focuses on polycultures, which can boost yields by reducin...
A recent study published in Anesthesia & Analgesia found that clinical decision support software can prevent up to 95% of medication errors in the operating room. The software provides evidence-based information to clinicians at the point-of-care to enhance decision-making and prevent errors.
Research from Texas McCombs finds that developers who multihome their software attract more users to the original product, improving its performance and standing out in the market. The study also shows that multihoming can lead to a 5.3% increase in average monthly usage for similar products.
Researchers from Mainz University and the University of Chile are developing a new technique called Gradual Abstract Interpretation to improve program analysis methods and detect security vulnerabilities in WebAssembly. They aim to identify and address security vulnerabilities while eliminating redundant protective measures.
Two new Parnas Fellows, Prof. Hongyu Zhang and Prof. Daniela Damian, will share their expertise with researchers at Lero, enabling collaboration and knowledge sharing. The fellowship programme has brought world-class software researchers to Ireland to share their experience and expertise.
Researchers developed CT-Derived Functional Imaging, a software program that calculates lung volume changes and blood mass without contrast dye. The technology has improved diagnoses for up to 30% of patients who couldn't tolerate contrast dye, and also benefits all patients with lung issues such as COPD and cancer.
Konstantinos Mamouras, assistant professor of computer science at Rice University, has been awarded a $547,555 NSF CAREER Award to decentralize IoT applications and relieve network congestion. He aims to introduce novel programming techniques that enable efficient and reliable IoT development.
A new tool called VFCFinder analyzes open-source software updates to pinpoint specific code sections being modified to address security vulnerabilities. This helps programmers determine which updates are necessary without unnecessary changes.
A study reviewed 100 US institutions with National Center of Academic Excellence in Cybersecurity designations, finding significant variation in program types, credits, and learning outcomes. The research aims to improve industry-readiness and graduate employability by highlighting areas for improvement in cybersecurity education.
Researchers created GraSSRep and rhea, tools that outperform current methods for handling repeats and structural variants in metagenomic data. These methods use self-supervised learning and graph neural networks to analyze microbiome data, offering new insights into biological processes and potential applications in antibiotic resistance.
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.
A study by Washington State University found ChatGPT's generative AI system provided inconsistent heart risk assessments for patients with chest pain. The AI failed to match traditional methods used by physicians and returned different results for the same patient data, highlighting its limitations in high-stakes clinical situations.
A computer vision researcher has developed privacy software for surveillance videos that obscures identifiable information such as faces and clothing in real-time. The software, funded by the National Science Foundation's Accelerating Research Translation program, aims to balance surveillance needs with privacy concerns.
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.
A Wayne State University researcher is working to transform code review tools and workflows to address participants' challenges in understanding and communicating code changes. The goal is to produce high-quality feedback using empirical methods, machine learning, and natural language techniques.
A study found that GPT-4 matched the performance of radiologists in detecting errors in radiology reports, with an accuracy rate of 82.7%. The use of GPT-4 resulted in lower mean correction cost per report than the most cost-efficient radiologist.
The digital twin of a railway wireless network uses scenario modeling, radio wave propagation characterization and integrated operation platforms to improve safety and efficiency. The study introduces key technologies such as ray tracing and AI-based super-resolution to achieve accurate deterministic modeling of wireless channels.
A new study introduces a high-performance rail inspection system using YOLOv8 for fast and accurate defect detection. The system achieved up to 281.06 FPS on desktop systems and 200.26 FPS on edge computing platforms, increasing processing speeds while maintaining high accuracy levels.
Researchers at Kennedy Krieger Institute and Johns Hopkins Medicine developed a new method for analyzing walking and gait using free software and cellphone videos. This approach is more accessible and quicker than current state-of-the-art methods, enabling clinicians to assess patients' walking abilities more conveniently.
Researchers developed Umwelt software that allows blind and low-vision users to build customized data representations without an initial visual chart. The system incorporates three modalities: visualization, textual description, and sonification.
Researchers at University of Missouri are developing software that allows drones to fly independently, perceiving and interacting with their environment while achieving specific goals. This technology has the potential to assist in mapping and monitoring applications, such as 3D or 4D advanced imagery for disaster response.
A four-month department-wide EHR optimization project led to improved usability and reduced administrative burdens. The study demonstrates that successful EHR workflow optimization is possible at the departmental level through ongoing collaboration between EHR users and IT colleagues.
Researchers developed a new tool to improve the accuracy of electronic devices that measure plant leaf color to assess health. The software uses polarization to account for variations in light and reduce errors caused by glare.
A new measure called “outdoor days” describes the number of days per year that outdoor temperatures are neither too hot nor too cold for people to go about normal outdoor activities. This measure reveals significant global disparities, with the North gaining more outdoor days and the South losing them due to rising temperatures.
A new Dartmouth study reports on a unique case of prosopometamorphopsia (PMO), a rare condition that distorts facial features. The researchers used computer software to visualize the patient's real-time perception of face distortions, providing accurate and photorealistic visualizations for the first time.
The selected research project aims to develop a lightweight edge AI-based technology for jointly exploiting wireless communications and sensing in smart factories. It will enable high-quality wireless communications even under challenging situations.
Communications of the ACM has been revamped as a web-first, open-access publication, enabling rapid article publication and enhanced reader experience. The new model aims to increase engagement with the broader computer science community, expand author reach, and showcase cutting-edge ideas and research.
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.
A new study by Zachary Kowaleski found that RegTech investments can have operational benefits for large broker-dealers, including improvements in customer relations and employee monitoring. However, small companies were more negatively affected, with profits dropping by an average of over 10 times the apparent savings.
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.
Researchers have designed a new, affordable system to study neural interactions and compute using living neurons. The open-source MiV system boasts over 500 electrodes, offering improved control and precision in measuring neural processes.
Incheon National University researchers developed a web 3.0 streaming architecture that reduces delay, improves user experience, and ensures transparency and fairness for real-time services. The proposed system uses Inter-Planetary file system (IPFS) to enable blockchain-based peer-to-peer data storage and caching.
A new camera system records natural animal-view videos with high accuracy, enabling scientists to study animal behavior and navigation. The system uses four color channels, including UV light, to produce accurate video of how animals perceive colors.
Quantum Research Sciences has developed a quantum computer software that achieves 28% improved accuracy over classical computers in predicting optimal inventory levels. The software will be used by the US Air Force to manage its supply chain, reducing costs associated with excess or inadequate inventory.
A new data collection system has been developed to support diverse applications in the railway industry, including carbon emissions accounting and green cost-benefit analysis. The system enables efficient data collection and integrated management, leveraging metadata and data exchange schemas.
A new study uses reinforcement learning to develop an AI model that can hedge derivative contracts with significantly lower training data requirements. The model's adaptability and accuracy under realistic conditions outperformed benchmark systems.
The new platform, Arras Energy, simulates how all parts of an electric grid work together, making it easier to understand and apply the results. The tool can help utilities harden their distribution systems against extreme weather and integrate renewable energy sources.
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.
A NSF-funded project, MABLE, is developing a digital app using crowdsensing, AI, and robotics to empower individuals with responsive maps and turn-by-turn instructions. The app aims to improve accessibility and navigation for persons with visual or mobility impairments, such as those with low vision and wheelchair users.
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 algorithm, SIMSEF, significantly speeds up and simplifies the identification of chemicals in tissues, enabling researchers to confidently recognize and visualize their distribution in organs. This development has great implications for medical diagnosis and treatment outcomes.
The study reveals a diverse landscape of software as a medical device (SaMD) with notable progress in artificial intelligence/machine learning-based devices, accounting for 22% of all FDA-approved SaMDs. Established companies focus on incremental innovations, while new entrants and start-ups drive disruptive innovation.
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.
Professor Sebastian Erdweg aims to automatically incrementally compute software for significant energy savings. His new project AutoInc seeks to overcome fundamental limitations of existing approaches, promising enormous improvements in efficiency.
A new study reveals AI tools are more vulnerable than thought to targeted attacks that force AI systems to make bad decisions. Researchers developed a software called QuadAttac K to test for vulnerabilities in deep neural networks.
Researchers developed DIRFA, an AI-based program that generates realistic videos with facial animations synchronized to spoken audio, showcasing improvements over existing approaches. The tool has potential applications in healthcare, education, and entertainment, enhancing user experiences.
A team of researchers from Northwestern University and the University of Pittsburgh has received a $600K NSF Award to explore novel learning-enabled cyber-physical systems (LE-CPSs) for building flexibility into hardware. This could lead to extended device lifespan, reduced e-waste, and improved sustainability.
The UTSA MATRIX AI Consortium has received a $2 million grant to create new AI models that rapidly learn, adapt, and operate in uncertain conditions. The team aims to bridge the gap between human brain processing efficiency and current AI limitations, enabling more efficient and adaptive AI systems.
The University of Würzburg's SONATE-2 nanosatellite is designed to test novel artificial intelligence (AI) hardware and software technologies in near-Earth space. The satellite aims to automatically detect anomalies on planets or asteroids, with the goal of improving planetary exploration and research.
Venkat's project aims to reduce attack response time and protect programs from other attacks by developing a 'decoupled' security response system. His approach could help stop emerging zero-day cyberattacks within 24-48 hours, reducing time and dollar costs of frequent patching.
A Lancaster University academic argues that AI and algorithms contribute to polarization, radicalism, and political violence, posing a threat to national security. The paper examines how AI has been securitized throughout its history, highlighting the need for better understanding and management of its risks.
A recent study has shown that Apple's Safari browser is still vulnerable to Spectre attacks, allowing hackers to access sensitive data such as passwords and emails. Researchers from Ruhr-University Bochum found that attackers can bypass security measures in the browser to intercept and exploit user data.
Researchers developed a method combining sensor data with machine-learning algorithm to identify flaws in 3D-printed parts. The framework allows for statistically verified quality control, reducing the need for human involvement in manufacturing inspection.
A new study analyzes Twitter discussions on deepfakes related to the Russian invasion, highlighting negative reactions and positive sentiments towards deepfakes. The researchers found that some users' distrust in real videos increased after exposure to deepfakes.
A Rice University scientist used a mixed-reality headset with custom-designed software to measure and analyze forest floor vegetation in Tanzania's Udzungwa Mountains National Park. The study found that mammal diversity increases with forest floor habitat surface area, leading to a greater variety of ecological characteristics.
A new method using deep learning can provide as much information from brain images taken with CT as images captured with MRI, enhancing diagnostic support for conditions like dementia and other brain disorders. The software has been trained on 1,117 people and shows promise in diagnosing normal pressure hydrocephalus.