Articles tagged with Software
A new open-source software framework simulates genetic diversity in tumour samples and evaluates the accuracy of computer prediction algorithms. The tool provides a benchmarking approach for clinicians to make informed decisions about treatment options, helping them match patients with personalized medicines more effectively.
A new study published in the Proceedings of the National Academy of Sciences has created a data-driven 'vocation compass' that suggests different occupations tend to have distinct personality profiles. The research used Twitter data to group similar jobs together, revealing that software programmers and scientists are often open to exp...
Researchers found that kinaesthetic imagery ability enhances golf putting performance, and mental practice can improve a golfer's putting ability even if they already have a good feel for the game. The study suggests that this technique may reduce a golfer's handicap and is crucial in determining earnings on the PGA Tour.
Researchers at Stanford University created a touch-based display that mimics the geometry of 3D objects, enabling blind users to design and create independently. The system received positive feedback from test users, who praised its ability to provide multiple perspectives of an object, enhancing their understanding and creativity.
The researchers have developed a platform that enables companies to quickly address safety concerns in autonomous vehicles through software and hardware advances. They analyzed 144 AVs driving over 1,116,605 miles and found that human-driven cars were up to 4000 times less likely than AVs to have an accident.
A new protocol, On-Off Noise Power Communication (ONPC), extends Wi-Fi signal range by over 60 meters using software updates. The innovation requires no new hardware and can supplement existing Wi-Fi networks.
A Mayo Clinic study reveals that commercial facial recognition software can accurately identify people from brain MRI scans, even with image face removal. The study found an 83% success rate in identifying participants using publicly available facial recognition software.
Researchers from Saarland University developed a method to calculate runtime guarantees for embedded software, enabling safety in critical systems. Their work has been used by Airbus to certify the control software of its aircraft, leading to successful landings and certifications.
The AI system uses a huge database of x-ray images to identify collapsed lungs with 75% accuracy, outperforming medical specialists who diagnose fewer than 50%. Researchers plan to integrate the technology into a software system and apply it to other conditions, reducing treatment delays and improving patient outcomes.
The new technology uses machine learning to analyze sound and vibration responses from a smartphone's built-in sensors. It achieved high accuracy in identifying everyday objects in various environments, paving the way for innovative object interaction applications.
Researchers have developed a new method for ensuring quality in automatic voice recording, reducing error rates down to 2% and allowing for real-time processing. The algorithm assesses pronunciation stability and displays a color chart showing the dependence of speech quality on time.
Sven Apel and colleagues received the Most Influential Paper Award for their 2008 research paper on software product lines, which revolutionized software development by reusing existing components. Their work has been widely adopted in industry, with over 500 citations since its publication.
A team of scientists from FEFU developed a software module to automatically diagnose defects in sensors and electric drives in various kinds of robots. The system can compensate for detected defects in real time, preserving the required levels of operating quality.
A new study by Ben-Gurion University found that most routers are vulnerable to cross-router data leaks through malicious attacks on guest networks. The researchers identified different levels of cross-router covert channels that can be combined and exploited for malicious purposes.
A new machine learning tool, KymoButler, automates the analysis of kymographs to track particle movements inside living cells. This improves research efficiency and reduces bias.
A study published in Nature Human Behaviour found that people are more upset about losing their jobs to robots than to other workers. The researchers discovered that this preference reverses when it comes to one's own job, with most individuals finding robot replacement less threatening to their self-worth.
The MIT Press has released a comprehensive report on open-source publishing software, cataloging 52 platforms that meet survey criteria. The report warns that open publishing faces dual challenges, including siloed development and community organization, which must be addressed for sustainable success.
Researchers have developed BigStitcher software to process large amounts of data from light-sheet microscopy, allowing for the creation of high-resolution 3D images. The algorithm enables users to visualize and analyze cellular structures in detail, even in areas with poor image quality.
A team of FEFU scientists created software allowing industrial robots with technical vision to adjust movement trajectories in real-time without sacrificing precision. The new smart control method has improved accuracy by up to 0.5mm, a significant step towards overcoming current technology limitations.
A new framework for software management was recognized for its potential impact on computation-based science, enabling the Ohio Supercomputer Center to efficiently install and test applications for a wide range of users. The framework leverages automated tools and continuous integration to streamline the process.
The MFX team presents innovative open-access algorithms that enable the production of round shapes, flexible objects with complex elastic behaviors, and oriented grip patterns. These advancements pave the way for composite materials with different properties in different directions.
TU Wien's blockchain research lab has developed a software tool called Coinshuffle to collect and merge transactions, creating anonymous Bitcoin transactions. The lab also solved scalability issues in Lightning Networks, enabling private transactions without compromising security.
KAIST researchers developed FLUID platform for dynamic UI distribution on multiple smart devices, accelerating the shift from single-device to multi-device paradigms. The technology supports diverse applications, including live video streaming and navigation apps, enabling users to engage with multiple screens simultaneously.
A comprehensive report finds that facial movements are inexact gauges of emotions and behaviors, challenging current technology's reliance on these signals. The study proposes a new model for studying complex emotional responses by measuring multiple indicators beyond facial cues.
Scientists developed a command-and-control plugin for intelligent industrial robots, allowing for high-quality 3D computer models to be built quickly and precisely. The software helps solve the issue of hard programming of industrial robots and can fix in-process workpieces on universal positioning devices.
Galahad uses role-based isolation, real-time sensing, and machine learning to detect malicious activity in cloud workloads. The system provides a secure platform for users to host applications without relying on specialized AWS services.
SimBlock, a public blockchain simulator, allows users to test improvements to existing blockchains, such as Bitcoin, or design new ones. The software can simulate up to 10,000 nodes on a single PC and has a visualizer showing communication between nodes.
The Chan Zuckerberg Initiative has awarded $68 million to support the Human Cell Atlas, a collaborative effort between scientists from diverse disciplines. The funding will support networks of researchers who will map specific tissues in the healthy human body, generating cellular and molecular maps that will aid in understanding disease.
The new system uses a database of clinical information to pinpoint DNA changes that cause illness, predicting consequences and ruling out harmless variations. This improves diagnosis for disorders caused by multiple genes, such as severe intellectual disabilities in children.
Researchers developed an automated process to detect user-friendliness issues in virtual environments. This technology allows for more frequent, cost-effective, and efficient testing of virtual reality applications, leading to improved user experience and reduced errors.
A study found that peak joy displayed during pitches is linked to better funding performance, but prolonged display can undermine success. The most effective times for enthusiasm are at the beginning and end of presentations.
Researchers at Stevens Institute of Technology are developing tools to ensure programs run correctly in specific situations and determine if software can produce unwanted results. Their approach uses algorithms and temporal logic to model a program's structure and behavior, allowing for 100% guarantee against bugs.
Researchers at Michigan Medicine developed a smartphone-based tool that uses artificial intelligence to analyze retinal images and detect diabetic retinopathy. The device, called RetinaScope, achieved high sensitivity and specificity rates in a study, outperforming human graders in detecting the condition.
The new software automates image capture and analysis, providing more accurate radiation beam targeting and refined patient positioning. This technology enhances the quality assurance strategy in radiation therapy, potentially reducing toxicity and improving treatment outcomes.
Coral reefs surrounding Palmyra Atoll in the Pacific recovered dramatically after a 2015 bleaching event, with less than 10% dying. Imaging software and 3D structuring helped scientists monitor coral growth and decline over time.
Mendel Rosenblum's work on virtual machines transformed datacenters and enabled modern cloud computing. His contributions led to the development of Amazon Web Services, Microsoft Azure, and Google Cloud.
The TIGRE5-CM project has developed an SDN-based architecture for future mobile networks, simplifying deployment and configuration. The system improves the efficiency and accuracy of indoor localization services, enabling better end-user experiences in applications like transportation hubs.
Thierry Pécot, a Hollings Cancer Center researcher, has received a $1.1 million grant from the Chan Zuckerberg Initiative to develop deep learning tools for biomedical image analysis. The goal is to enable biologists to apply these tools to their images and accelerate disease research.
Caterina Strambio De Castillia has been named a CZI Imaging Scientist and received over $1 million in grant funding to develop standardized tools for microscopic imaging. The grant aims to facilitate sharing of reproducible datasets, analytical procedures, and analysis results among biomedical researchers.
Researchers found that firms in Pakistan were able to overcome political instability and security concerns through two strategies: 'step-up' and 'break-out'. The 'step-up' process involves firms mitigating client concerns and building trust, while the 'break-out' strategy focuses on short-term gains and quick turnaround.
The NSF awards funding to further develop Open OnDemand, a platform providing web-based access to high-performance computing services. The project aims to simplify access to HPC resources, making it more accessible to new users and disciplines.
A free software platform called Photo Sleuth uses crowdsourcing to identify faces in Civil War-era photos, with over 85% of proposed identifications being correct. The database now contains over 4,000 registered users and more than 8,000 photos, making it a valuable tool for historians and genealogists.
A new software tool has been developed to analyze Airborne Wind Energy Systems (AWES) that utilize lightweight kites or large drones. This innovation offers a cost-effective way to harness wind energy at high altitudes, where traditional wind turbines are not feasible.
Researchers have developed an innovative new software that measures electrical activity in the heart, which may help identify potentially lethal arrhythmia. The open-source ElectroMap software can detect, map, and analyze arrhythmic phenomena for various data types, leading to a deeper understanding of heart diseases.
A new analysis of 65 million projects found that smaller teams are more likely to introduce new ideas to science and technology, while larger teams often develop and consolidate existing knowledge. This challenges recent trends in research policy and funding toward big teams.
The University of Illinois Chicago will lead a $3 million project to design and develop GAMEPLAY, a system that identifies security vulnerabilities in web software. Once identified, the system will generate patches for these vulnerabilities, known as exploits, to improve software security.
The NCCR MARVEL/CECAM team has been awarded the EPFL Open Science Fund to develop open software services for classrooms and research. The team will create an online hub with simulation and data-analysis tools that can be easily used by researchers and students.
The Chan Zuckerberg Initiative is funding open-source software projects to improve image analysis and visualization in biomedicine. The projects will focus on developing and maintaining tools such as scikit-image, ImageJ, and CellProfiler to accelerate basic research and benefit the entire field.
Researchers at Argonne National Laboratory are developing a machine learning-based framework called BLAST to accelerate and simplify materials modeling and simulation. This software will enable companies to quickly perform molecular dynamics simulations needed for new material vetting, with applications in polymers and steel alloys.
Researchers at NC State University have developed a virtual library of 1 million new macrolide scaffolds, which can help speed up the discovery of new antibiotics and cancer drugs. The library was created using computer simulation software that generates compounds with desirable properties.
A team of researchers is using a $820,000 DARPA grant to design a new kind of chip that can automatically match software with hardware, significantly reducing the time it takes. The chip, called DASH-SoC, aims to achieve this in just five nanoseconds.
Scientists developed an interactive database with 27 species, including a new species Pteromalus capito, to demonstrate the advantages of modern taxonomic software. The software Xper3 enables fast and efficient identification, reducing steps from 16 to 6 for one studied wasp species.
A new study will assess the effectiveness of AI-assisted ultrasound technology in enabling non-specialist medical professionals to capture high-quality echocardiograms. The 'SHAPE' study aims to determine if AI-guided acquisition and interpretation can detect more patients with cardiac disease in primary care settings.
Researchers at Carnegie Mellon University developed two approaches to improve smart devices' understanding of their environment: Ubicoustics, which uses microphone-based sound recognition, and Vibrosight, a vibration-detection system using laser vibrometry. These methods enhance context-aware computing capabilities.
A study by North Carolina State University found that the ACM code of ethics has no impact on software developers' decision-making. Researchers presented 11 ethical scenarios to 168 participants, with and without prior exposure to the code of ethics, and found no significant difference in responses.
A £5.5m partnership will study and develop quantum software for modelling and simulation, helping to establish a UK quantum software industry. Scientists hope to discover new materials and chemicals through this work, impacting sectors like energy and healthcare.
A study by Benjamin Trump and his team analyzed over 800 cryptocurrency forks and found a substantial growth in separate blockchains. The researchers believe that stable governance is essential for cryptocurrencies to be adopted for daily financial transactions.
A new wireless location system has been developed to drive future wireless innovation, providing control over disparate radio and network technologies. The system's integration with WiSHFUL architecture allows for experimental investigation of network applications using real-time location data.
A study published in Science Translational Medicine shows that PGDx's CerebroTM technology can detect tumor-specific mutations with higher sensitivity and positive predictive value compared to existing methods. This improvement is crucial for accurate treatment decisions, particularly for biomarkers like tumor mutation burden.
Scientists at U.S. Army Research Laboratory and Johns Hopkins University Applied Physics Laboratory develop software to analyze a robot's ability to self-right from any overturned orientation. The team evaluates the Advanced Explosive Ordnance Disposal Robotic System and determines it can right itself on level ground regardless of its ...