Articles tagged with Software
French researchers found that human and organizational factors negatively impact clinical decision support system use, whereas technological factors have a neutral effect. Despite benefits, PCPs report decreased efficiency due to increased workload, highlighting the need for developers to address these issues.
The Norwegian Labour and Welfare Administration's shift to second-generation agile methods resulted in a successful project completion within budget and deadline. This approach prioritizes user friendliness, flexibility, and continuous interaction, reducing administration and coordination time while increasing productivity.
A new software program developed by Duke Ph.D. student Dan Fu lets users create 3D structures made of DNA, including tiny vases, bowls, and hollow spheres. The software relies on a way to build with DNA described in 2011 by Hao Yan, which works by coiling a long DNA double helix into concentric rings to form the contours of the object.
The RITHMS project aims to enhance police forces' and customs authorities' capabilities in tackling illicit cultural trafficking with innovative technologies. The platform will utilize Social Network Analysis to identify organized criminal networks and provide valuable information to investigators.
Researchers at Nara Institute of Science and Technology have developed a method to measure the congruence between contributor networks and library dependencies in open-source software ecosystems. By analyzing over 5.3 million change commits across 107,242 libraries, they found that libraries with high levels of matching contributions a...
Researchers have developed a robot capable of sorting, manipulating, and identifying microscopic marine fossils. Forabot uses robotics and artificial intelligence to automate the tedious process of evaluating foram shells and fossils.
University of Missouri engineers are working on a collaborative human-robot order picking system to speed up the online delivery process. The proposed model aims to optimize key decisions in warehouse operations, allowing robots to navigate efficiently and collaborate with humans to increase efficiency.
Research from Binghamton University found that government agencies struggle with innovation due to risk-aversion and compliance constraints. Digital platforms can help strike a balance between standard and flexible approaches, enabling efficient innovation.
NJIT Assistant Professor Salam Daher is using augmented reality technology to train caretakers for the elderly. The project aims to improve communication and empathy skills through a digital model of an older person that responds to emotions and environment. The system will be tested to investigate its impact on patient outcomes.
In an experiment pitting human expertise against artificial intelligence, researchers found that the computer program correctly predicted six out of nine proteins capable of self-assembly. This breakthrough suggests machine learning can complement human intuition in biotechnology research.
A study by Professor Dennis Murphy Odo found that automatic text simplification (ATS) software makes authentic materials more comprehensible for L2 learners with high reading proficiency. However, the tool's effectiveness is limited for learners with lower reading proficiencies. The researcher suggests that ATS tools need to be further...
Researchers at Kyushu University developed a new method to create highly detailed 3D models of plants and animals. Over 1,400 models are now publicly available for use in education, research, and virtual exploration.
The journal covers high-quality research and practice-driven advancements in distributed ledger technologies. Featured articles include Byzantine Fault Tolerance, incentivizing data quality, decentralized federated learning, and scalable trustworthy infrastructure.
A University at Buffalo-led research team has been awarded a $5 million grant to develop digital tools that can help older adults recognize and protect themselves from online deceptions. The project, DART, aims to reduce online fraud among older adults, who lose billions of dollars each year due to scams.
Researchers developed algorithms that can predict volleyball players' actions with over 80% accuracy, combining visual data with hidden variables. The algorithms also showed promise in predicting multiple actions across sequences of up to 44 frames.
A new computer program, ExtRaINSIGHT, has been developed to track harmful mutations in the human genome throughout evolution. The study found three regions of the genome that are extremely sensitive to mutations, including splice sites, miRNA molecules, and central nervous system genes.
A University of Missouri researcher and his team are using artificial intelligence to study anatomical research, creating detailed 3D computer models of muscles. This technology is advancing the field by enabling researchers to analyze muscle fiber orientation and develop a better understanding of motor control in animals.
Researchers at UMaine have developed a novel AI-based method for monitoring soil moisture in forests, using wireless sensor networks and machine learning to optimize energy efficiency. This approach could enable more efficient tracking of forest health, reducing costs and increasing reliability.
Rice University's ROBE Array algorithm slashes the size of DLRM memory structures, allowing training on 100 megabytes of memory and a single GPU. The method matches state-of-the-art DLRM training methods with improved inference efficiency.
Researchers at the University of Washington developed AquaApp, a mobile app that enables underwater messaging on billions of existing smartphones and smartwatches using software. The app uses acoustic signals to transmit messages and can accommodate up to 60 unique users on its local network.
Researchers at NC State University have developed a cooperative distributed algorithm that allows autonomous vehicle software to make calculations more quickly, enabling real-time navigation of complex merging scenarios. The approach improves both traffic flow and safety, with zero incidents in simulations.
NTU Singapore has launched the Algorand Centre of Excellence at NTU (ACE@NTU), a new research and education centre focused on developing and advancing blockchain technologies. The centre aims to become the nexus for blockchain education and research in Singapore and the region.
The Madrid Flight On Chip (MFOC) project has successfully implemented advanced technological products and introduced disruptive changes in the design and verification of complex space systems. The project, which ran for over three years, focused on Multi-Processor System on Chip (MPSoC) components and aimed to reduce testing costs.
Researchers developed an AI-driven device that detects and predicts hemodynamic instability using a single ECG lead, outperforming traditional vital sign measurements with nearly 97% sensitivity. The technology has the potential to provide continuous dynamic monitoring capabilities in patients with intermittent static vital sign measur...
A new platform called MoveApps enables scientists and wildlife managers to explore animal movement data with little more than a device and a browser. The system uses open-source code and allows users to create complex analyses with simple clicks.
Researchers at Columbia University have developed a new verification technology for the Arm Confidential Compute Architecture, demonstrating the first formal verification of a prototype. This breakthrough enables the creation of confidential computing architectures that can protect sensitive user data.
A team of experts is working on new software tools and industrial guides to improve concrete mixes, structural designs, and construction processes. The project aims to mitigate the risk of construction defects related to fresh concrete, reducing costs and delays.
Researchers found serious security issues in 42 daycare apps, allowing access to private photos and personal data without consent. The analysis highlights inadequate privacy policies and recommendations for guidelines and checklists to ensure compliance with data protection regulations.
Researchers found that socially isolated bumblebees exhibited an increase in affiliative behavior, unlike expected aggression. The brain development of isolated bees showed similarities with group-reared bees, suggesting controlled chaos in the absence of social environment.
The study, led by Carnegie Mellon University researchers, identified toxic content in open-source platforms like GitHub, which is more contextual, entitled, and subtle than other online communities. The team developed a dataset of 100 toxic posts to better understand the nature of toxicity in open-source discussions.
Researchers developed open-source software SHRY to find distinct substitution patterns in disordered systems, reducing computation time. The software uses group theory and canonical augmentation to efficiently analyze crystal structures with random substitutions.
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.
A new study from Carnegie Mellon University found that tweeting about an open-source project on GitHub increases its popularity by 7% and attracts more contributors. The researchers also identified characteristics of high-impact tweets and the type of people likely attracted to a project by Twitter posts.
Researchers have created prototypes that provide text descriptions at varying levels of detail, enabling blind and low-vision individuals to drill down from high-level data to more detailed information using just a few keystrokes. The prototypes improved users' ability to identify patterns in the data and navigate through visualization...
A team of researchers from Waseda University developed a novel solution to efficiently solve complex optimization problems using Ising machines. Their hybrid algorithm reduces residual energy and reaches more optimal results in shorter time, increasing the machine's applicability across industries and sustainability practices.
The Frontier supercomputer has achieved an unprecedented level of computing performance, breaking the exascale barrier with 1.1 exaflops of performance. This milestone enables scientists to tackle previously unsolvable problems in fields like energy and national security.
Researchers use AI software to identify invasive species and native trees threatened by disease from photos taken by on-train cameras. This technology enables railway workers to take action to better manage lineside vegetation and achieve biodiversity net gain by 2035.
Researchers at TU Darmstadt have developed a scalable quantum network that enables secure key exchange and protection of sensitive information. The system uses entanglement-based time-bin coding to distribute photons to users, ensuring robust security against eavesdropping attacks.
Researchers at University of Illinois at Urbana-Champaign have developed PlasmidMaker, an automated platform for designing and constructing plasmids. The platform uses Pyrococcus furiosus Argonaute-based artificial restriction enzymes to assemble DNA fragments with greater flexibility and precision.
Researchers at North Carolina State University have developed FAXID, a hardware-based approach for detecting ransomware that is significantly faster than software-based methods. In proof-of-concept testing, FAXID demonstrated accuracy comparable to XGBoost but with speeds up to 65.8 times faster.
A new method reduces computational complexity of traffic models, making them operate more efficiently. The modified algorithm breaks down complex forecasting questions into smaller problems that can be solved in parallel, significantly reducing run time. This approach also allows for a good enough solution within an error bar, rather t...
Scientists have developed a machine learning algorithm that can accurately predict the lifetimes of different battery chemistries using as little as a single cycle of experimental data. The technique could reduce costs and accelerate the development of new battery materials, enabling researchers to quickly evaluate and test multiple ma...
Researchers have developed a method using nanomagnets to perform artificial intelligence, slashing energy costs and offering huge efficiency gains. The technology uses 'nanomagnetic states' to process and store data, cutting out the need for software simulation.
The KAIST research team has developed LightPC, a lightweight persistence centric system that ensures both data and execution persistence using only non-volatile memory. This technology reduces power consumption and increases performance by minimizing internal volatile memory components and increasing parallelism.
Two new methods for producing high-resolution visualizations of small artefacts are presented, allowing anyone to create high-quality images and models with minimal effort and cost. The protocols provide detailed workflows for photographic acquisition and processing, enabling replicability and reproducibility in the field of archaeology.
A 20-year study reveals how a machine manufacturer transformed its strategy to focus on ecosystem-building and preserved product revenue. The company's success relied on adapting its core product to support the new ecosystem and changing its organizational structure.
Researchers have developed a new encryption technique that leverages hardware and software to improve file system security for next-generation non-volatile memories. This approach allows for faster performance than existing software security technologies, making it suitable for large data centers and cloud systems.
A new app called Metaboseek has been developed to streamline the analysis of comparative metabolomics data, helping researchers identify valuable compounds. The app was created by a postdoctoral research associate and is now essential to his lab's work.
Developing a design tool for tailorable composites will benefit NASA and industries by shortening the design period and improving structural properties. The tool, created with Purdue-affiliated company AnalySwift, has applications in aerospace, energy, wind, automotive, marine, and other industries.
The University of Plymouth is collaborating with Kongsberg Digital to develop a state-of-the-art simulator that will revolutionize the floating offshore wind sector. The new system will provide key insights into solutions increasing efficiency, safety, and cost effectiveness for industry professionals.
Researchers at Duke University developed EyeSyn, a virtual eyes system that simulates human eye movement to train metaverse platforms. The system reduces privacy concerns and allows smaller companies to access the metaverse with minimal resources.
A new study by Anglia Ruskin University found that AI-powered apps reduced business risks during the pandemic by 3.1%. The use of AI apps was also linked to lower profits (2%) and overall business risk (1.2%). Only 26% of small enterprises are currently using these applications.
Independence Science has received a $254,767 NSF grant to develop Sci-Dot, a multiline Braille device that collects and analyzes scientific data. The device addresses limitations of current Braille displays and allows blind students to set up and collect experimental data independently.
Researchers at NTU Singapore have created a rapid and affordable method to evaluate the microstructure of 3D-printed metal alloys, providing insights into strength and toughness. This technology can benefit industries such as aerospace, where quality assessment is critical for maintenance and repair.
Researchers developed a user-centered virtual reality system to engage stroke survivors with spatial neglect in intensive therapy, showing promising results. The system uses head-mounted displays and hand-tracking technology to deliver standardized treatment in an engaging environment.
A West Virginia University researcher is studying the American implementation of turbo roundabouts, designed to limit weaving and lane changing movements. The study aims to reduce conflict points and severity of crashes, with a focus on gauging motorists' responses via computerized driving simulations.
Researchers developed a space-warp coordinate transformation (SWCT) method to accurately calculate atomic forces for elements with high atomic numbers. The study used quantum Monte Carlo simulations and found that the SWCT method reduces computational costs, resulting in more accurate calculations.
Researchers at Harvard SEAS developed a new way to simulate tens of thousands of bubbles in foamy flows. This allows for predictive simulations in scales ranging from microfluidics to crashing waves, opening up possibilities for industrial applications such as food production and drug development.
Researchers developed a novel scheme that reduces energy consumption while improving traffic prediction accuracy by up to 40% compared to benchmark schemes. The scheme uses software defined network and edge computing to control the operation of base stations, ensuring both sustainability and performance.
Nathan Dautenhahn, a Rice University computer scientist, has received a prestigious CAREER Award to develop 'Least-Authority Virtual Architecture' (LAVA) strategy for retrofitting existing products with meaningful firewalling. This approach aims to systematically analyze and optimize security boundaries in complex systems.