Articles tagged with Software
Researchers at Universidad Carlos III de Madrid developed video games 'Peter Jumper' and 'Andromeda' to promote hand and wrist rehabilitation. The system also measures grip strength and stores patient data for analysis, showing encouraging results in improving range of motion and grip strength up to 100%.
A University of Oklahoma researcher is developing a new coding language and computing infrastructure to tackle the increasing complexity of big data. The goal is to create more efficient algorithms for processing sparse and irregular data, which are challenging to manage using traditional tools.
Researchers at Mizzou have developed a proactive approach using artificial intelligence to address evolving threats against smart grids. The CIBR-Fort system can predict cyberattacks with 91.88% accuracy and defend against them in real-time, enabling scalable security for power grids of the future.
An international research team developed a user-friendly software method called Segment Anything for Microscopy, which can precisely segment images of tissues, cells, and similar structures. The new model improved performance for cell segmentation, enabling researchers to automate tasks that previously took weeks of manual effort.
CrySyst's QbC framework addresses crystallization monitoring, modeling and control using research from Purdue University. The software provides guided experiment selection, semiautomated model development and reliable solutions to reduce time and material usage.
Researchers developed a new zero-shot AI pipeline that leverages open-source foundation models like Segment Anything Model (SAM) and Grounding DINO to improve accuracy in automated image segmentation for remote sensing. The pipeline achieves outstanding segmentation results, reaching up to 99% accuracy, and operates in a zero-shot manner.
Researchers at North Carolina State University have developed a new technique to improve the efficiency of food-delivery operations. The technique accounts for key factors such as food supply, location, and vehicle capacity to determine optimized routes that make food delivery faster and more fuel-efficient.
Kun Sun proposes framework using Large Language Models (LLMs) and Retrieval-Augmented Generation techniques to analyze Android app behavior, overcoming limitations of current methods. The project aims to deliver explainable results and uncover hidden code insights for more resilient digital ecosystems.
The new Cellpose3 tool enables easy recognition of cell boundaries in distorted images, restoring crisp images for accurate segmentation. This improvement allows users to segment individual cells with ease, even in conditions with noise, blurring, or undersampling.
A study by Virginia Tech researchers found that electric vehicles generally produce less non-exhaust emissions than gasoline-powered vehicles when driving in city conditions. The research also highlights the environmental benefits of regenerative braking, which reduces brake abrasion emissions.
The researchers are developing high-performance Monte Carlo software to support computational materials design. The goal is to enable rigorous multi-scale simulations, allowing for the simulation of larger scale and fidelity than possible with current software.
The TU Graz AI system optimises vehicle components using simulation models and evolutionary algorithms to reduce development time by several months. It considers multiple objectives including production costs, efficiency and package space requirements, as well as CO2 emissions across the entire supply chain.
Schuman and her team aim to create a large library of open-source code, tools, and training programs for neuromorphic computing. They will provide community-level access to NMC systems, enabling widespread use and research in various scientific fields.
A new large language model, 'llm-jp-3-172b-instruct3', has been released with approximately 172 billion parameters, trained from scratch using 2.1 trillion tokens of data. This model surpasses GPT-3.5 performance on benchmarks such as 'llm-jp-eval' and 'llm-leaderboard'.
Scholastica's new integration with Crossmark allows journals to link article updates and retractions, ensuring the scholarly record's accuracy. The feature supports Crossref member organizations' efforts to maintain integrity and provide metadata for readers and downstream services.
A recent study by Aalto University found that successful AI adoption depends on employees' emotional and cognitive trust. The research team analyzed a consulting company's attempt to implement an AI tool, which ultimately failed due to employees' discomfort with AI following their digital footprints.
The new tool will enhance the DLA's supply chain management capabilities, reduce operational disruptions, and bolster readiness. Quantum Research Sciences' technology will provide predictive capabilities and automate obsolescence management processes.
Jeffrey Given received the 2025 Frank Press Public Service Award from the Seismological Society of America (SSA) for his work in developing seismic monitoring tools and supporting the Comprehensive Test Ban Treaty Organization. His expertise spanned fundamental seismology to software development and data management.
Researchers developed an automated analytical method to analyze single atom catalysts, which could lead to more efficient fuel production and sustainable energy. The new tool, called MS-QuantEXAFS, automates the analysis process, reducing time from days to months.
The Joint Active Music Sessions (JAMS) platform allows musicians to connect and practice with others in real-time, using avatars that capture the nuances of live performance. This innovative platform aims to bridge the gap between physical and virtual music-making.
Researchers at Seoul National University propose PV2DOC, a software that converts presentation videos into searchable, well-organized PDFs with text summaries and relevant images. The tool enhances video accessibility and reduces storage space, making it easier for users to find specific information.
A new cryptographic framework proposes a data sharing scheme that guarantees data integrity without compromising privacy. The protocol uses advanced tools like zero-knowledge proofs to ensure confidentiality and facilitate the analysis of encrypted data.
Researchers developed SMART, a new software package simulating complex cell-signaling networks with realistic 3D shapes and interactions. This tool helps advance understanding of cellular behavior and drives development of new treatments for human diseases.
Walt Downing, Executive VP and COO of SwRI, received the prestigious IEEE MGA Leadership Award for his exemplary leadership in implementing member activities. He has held various leadership positions over decades and recognizes the importance of professional societies like IEEE in developing skills.
Jefferson Lab is investing $3 million in 13 proof-of-principle projects to explore new ideas and technologies, including nuclear physics, particle accelerator science, and computational science. The LDRD program aims to foster creativity and exploration of cutting-edge research.
A WVU researcher creates an augmented reality training program to enhance miners' awareness of blind spots and ability to identify hazards. The training technology uses visualizations to project blind spots directly onto the trainee operator's surroundings, reducing fatalities and injuries in the mining industry.
A study by the University of Copenhagen found that many students fear using plagiarism detection software, leading to counterproductive behavior and misdirected learning. The researchers recommend clearer guidelines, instruction on academic writing practices, and institutions' responsibility in explaining software limitations.
A team of researchers has developed a novel technique to steal artificial intelligence (AI) models by monitoring electromagnetic signals. The method allows attackers to recreate the high-level features of an AI model with 99.91% accuracy, potentially undermining intellectual property rights and exposing sensitive data.
MixBuy is the first cryptographic protocol guaranteeing both security and privacy in digital purchases. It hides the relationship between customer and store by using an intermediary to relay payments.
A recent study by the Society for Risk Analysis found that employees who visit adult or gambling sites are more likely to encounter seven types of malware, including coinminers and ransomware. Visiting these types of websites increases the risk of infection by two-fold.
The BioImage.IO Chatbot uses extensive language models and Retrieval-Augmented Generation (RAG) to provide real-time access to databases and minimize errors. It enables researchers to perform complex image analysis tasks in a simple manner, working directly with microscopes and laboratory equipment.
Researchers at CAMERA have developed an open-source markerless motion capture system using computer vision and deep learning methods. The system estimates joint positions from regular 2D image data, providing unobtrusive analysis of body movements.
NCSA launches Harbor, a fast storage service for global home and software directories, boosting Delta system performance by 400%. Consolidating file systems to VAST namespace improved uptime, load times, and user experience. With Harbor and VAST Data Platform, NCSA achieves scalable and efficient AI infrastructure.
A study published in Radiology found that radiologists and physicians who received local explanations from artificial intelligence (AI) systems performed better and made faster diagnoses than those who received global explanations. The researchers also found that AI advice was trusted more quickly when it provided local explanations.
AnalySwift will develop a composite heater layer for trusses and other infrastructure, enabling the reconfiguration of structural elements in space. The company's software tool will simulate multiphysics modeling and analysis of thermoplastics.
The Digital Olfaction Summit 2024 will present the latest developments in digital olfaction, including portable sensors like Scout3 and NeOse, and wearable devices for real-time scent detection. The event will also feature a unique challenge to digitize scents representing regional cultural essence.
Despite their ability to provide turn-by-turn driving directions in New York City with near-perfect accuracy, generative AI models do not form a coherent internal map of the city. The researchers developed new metrics to test a transformer's world model and found that only one generated a coherent world model for Othello moves.
A research team from Hokkaido University has developed a flexible multimodal wearable sensor patch that can detect arrhythmia, coughs, and falls using edge computing on a smartphone. The sensor patch generates large amounts of data that must be processed to be understood.
The Clinical Genome Resource (ClinGen) has published data on over 2,700 genes curated for clinical relevance to genetic diseases. The consortium has identified 2,420 gene-disease relationships, classified 5,161 unique pathogenic variants and validated 1,557 genes for dosage sensitivity assessments.
A team of scientists and experts led by PNNL has developed a cloud computing approach to democratize access to emerging resources. They demonstrated that cloud computing can provide an agile complement to high-performance computing facilities, enabling complex chemistry workflows to be completed in days instead of months. The initiativ...
Karimian's research will investigate common hardware-based attacks on biometric systems, including spoofing, template, side-channel, and fault-injection attacks. He also aims to develop a hardware-based biometric template protection system that addresses bias in facial recognition software.
Researchers from King's College London have created a new kind of compact circuit that enables robots to receive complex instructions without electricity. This breakthrough could enable the creation of robots with more complex AI-powered software and improve their social awareness and dexterity.
Researchers propose a new approach to reduce the tradeoff between overhead and protecting machines against vulnerabilities. The 'Vulnerability-Adaptive Protection Paradigm' applies different protection strategies to different parts of the system, allocating resources more wisely.
Researchers at the University of Copenhagen's Quantum for Life Centre have developed a new mathematical recipe to make quantum simulators more scalable and efficient. This breakthrough could speed up the development of new medicines from years to months by predicting how molecules behave in the human body before laboratory trials.
A team of researchers aims to improve autonomous vehicle safety by identifying and mitigating vulnerabilities in software and hardware. They plan to use knowledge gained from a $926,737 NSF award to design protection mechanisms that can be applied selectively to ensure safety while maximizing efficiency.
A new course launched with funding from the UK Space Agency to address the growing skills gap in software, data, and AI for the UK space sector. The Securing the future of space: Space Software and Data/AI CPD programme will equip mid-career professionals with expertise in AI and data-science.
Researchers at Boston University created an AI tool that can determine the cause of dementia using commonly collected patient data, boosting doctor accuracy by 26%. The algorithm identifies 10 types of dementia, including vascular and frontotemporal dementia, to help doctors manage patients more effectively.
Researchers at USC developed an approach that matches polysomnography using a single-lead echocardiogram, allowing anyone to create their own low-cost, DIY sleep-tracking device. The software significantly outperformed other EEG-less models and assesses sleep stages at the highest level.
A study found that large language models, despite accuracy in medical exams, fail to consistently request necessary examinations and often deviate from treatment guidelines. In comparison to human doctors, AI diagnoses achieved lower accuracy rates, highlighting concerns about their suitability for everyday clinical practice.
A large multicenter study has identified 34 new genetic diseases using genetic diagnostics, including a novel AI-powered analysis tool called GestaltMatcher. The study analyzed the genetic data of 1,577 patients and found changes in 370 different genes, with 425 children diagnosed with rare diseases.
Researchers developed a new method to study rock engravings, integrating technological and visual analysis to uncover the cultural significance of engravings in Timna Park. The approach provides comprehensive insights into the production processes and cultural context of ancient engraving practices.
A recent study investigates the trust and involvement of Cameroonian software developers in open-source projects, highlighting cultural biases and infrastructural limitations as major barriers. The research aims to enhance understanding of trust mechanisms within these communities, focusing on African developers' unique challenges.
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.