Articles tagged with Software
A new protocol has been developed at TU Wien that improves the security and speed of Bitcoin transactions. The new protocol reduces failed transactions by a factor of 4 to 33 compared to the conventional Lightning network.
Researchers at University of Illinois developed software to improve 3D-printed part accuracy, reducing costs and waste for factory production. The software tracks printer and settings data to identify accurate parts.
Researchers developed software to rapidly measure additively manufactured parts for increased accuracy. The tool analyzes scan data to identify accurate printers and settings, ensuring consistent production.
Researchers used AI software to analyze facial changes caused by Parkinson's disease, finding differences in apparent age and facial expressions. The study suggests AI could accelerate diagnosis and treatment for neurodegenerative diseases.
Researchers from Skoltech have designed a software-based algorithm for synchronizing time across smartphones, achieving an accuracy of several microseconds. This method can be used to create a network of sensors and has potential applications in various fields, including photography and noise cancellation.
A team of scientists from RUDN University developed a new approach to automatic soil mapping using machine learning technologies. The method, which uses traditional rules for manual mapping, provides highly accurate results and easy-to-interpret maps, outperforming existing statistical models.
NASA engineers developed Fast Maneuvering (FastMan) algorithm to enable LRO to keep exploring the Moon, allowing for nearly 200 additional slews that couldn't be performed otherwise. The algorithm improves performance by using star-tracker measurements and other information available from LRO's flight computer.
Researchers found that all ten apps permitted users under 16 to sign up if they provided an age of 16, highlighting the need for robust age verification mechanisms. The study recommends clarifying minimum age requirements, enabling restrictive privacy settings by default, and implementing ongoing age verification processes.
A team of Penn State researchers used machine learning algorithms to improve the efficiency of design evaluations for porous materials. By leveraging image colorization techniques, they reduced computational load while maintaining accuracy. The findings provide a framework for designers to create more structurally responsible parts wit...
Researchers from UOC-led research group present new software model verification technique to solve common problems in software development. The method enables easier verification of models during construction, facilitating early detection of errors and reducing costs.
The SyNRG team at the University of Illinois is exploring a new sub-area of mobile technology called 'earable computing' that will run on earphones. This platform aims to continuously sense human behavior, provide acoustic augmented reality, and offer seamless security, among other capabilities.
Penn State researchers have created an automated process planning software to optimize additive manufacturing, reducing design time and material waste. The software uses algorithmic mapping of designs from CAD software to AM to minimize unnecessary steps, enabling faster production and lower costs.
A new tool allows architects to design curved glass façades using an interactive, data-driven approach. The software uses deep neural networks to predict glass panel shapes and fabricability, enabling efficient optimization of designs while balancing economic, aesthetic, and engineering criteria.
Scientists from the University of Groningen developed a machine learning-based algorithm, PySurf, which reduces electronic structure calculations significantly. The software requires several orders of magnitude less computational time than existing direct dynamics software and is available as an open-source free download.
The Chan Zuckerberg Initiative (CZI) has awarded $3 million in funding for open source software projects, including those essential to modern biomedicine. CZI also provided $1.7 million in funding to organizations advancing reproducibility practices and support for open research infrastructure.
SpeechVive Inc. offers free remote calibration software and training to improve speech volume and clarity in people with Parkinson's disease, bridging the gap for rural patients during COVID-19.
Researchers developed a new electronic chip that brings together imaging, processing, machine learning, and memory in one device powered by light. The prototype achieves brain-like functionality and can be used to enable smarter and smaller autonomous technologies like drones and robotics.
Researchers at Graz University of Technology discovered a method to exploit Intel processors using power side-channel attacks, even without physical access. The technique uses the RAPL interface and misuses Intel's SGX functionality to extract sensitive data.
A holistic causal model is being developed to improve software traceability, leveraging evolutionary histories and intelligent agents for accurate link evaluation. The goal is to enhance trace link quality and facilitate causal reasoning.
The Partnership to Advance Throughput Computing (PATh) aims to advance distributed high-throughput computing technologies and extend adoption among researchers and educators. Researchers from top institutions will collaborate on the project, focusing on automation and leveraging massive networks of computers.
Greg Caporaso, director of the Center for Applied Microbiome Science, has been awarded a $3.75 million grant by the National Cancer Institute (NCI) to build software capable of analyzing and archiving data focused on the interplay between the human microbiome and diverse types of cancer.
A new tracking technology using Footprint Identification Technique (FIT) helps monitor endangered black rhinos in Namibia. The software analyzes footprint images to identify individual animals and track their movements without disturbing them.
Researchers developed an AI algorithm that can accurately diagnose Alzheimer's without expensive scans or in-person testing, with over 95% accuracy. The software also explains its conclusions, allowing physicians to double-check the accuracy of its diagnoses.
Academics from City University London, led by Professors Bev Littlewood and Martin Newby, are improving the quality of epidemic models using Software Engineering Boards (SEBs). The project aims to increase confidence in decision-making based on mathematical models, ensuring policy-making security and improved access to models.
Researchers create simulation scenarios using ontologies to test autonomous driving systems, uncovering weaknesses and developing adaptive compensation methods to ensure system reliability and safety. The approach enables the detection of critical test cases that may not be feasible in real-world testing.
USTC successfully completed a large-scale solid system simulation with tens of thousands of atoms using the Sunway TaihuLight supercomputer. The achievement demonstrates the power of domestic high-performance parallel computing software and hardware.
Technical interviews in the software engineering sector test performance anxiety rather than coding skills, eliminating well-qualified candidates. Researchers found that half as many participants excelled in private interviews without on-the-spot explanations.
GingerVR, an open-source Unity tool kit, tackles cybersickness in VR and AR environments. Researchers found that the software implements eight reduction techniques to address individual differences in user symptoms.
A new study found that ad blockers can help websites target specific audiences with less intrusive ads, benefiting both platforms and users. The study suggests that allowing ad blockers can lead to a more efficient market, resulting in better-quality content for users.
PDM Analysis has introduced SCORG alto, a cloud-based mechanical analysis software tool that improves compressor efficiency. The new platform is accessible through any smart device and boasts several advantages over its predecessor.
The Fast Loaded Dice Roller (FLDR) algorithm simulates the roll of loaded dice to produce random integers with the best combination of speed, accuracy, and low memory requirements. FLDR can use up to 10,000 times less memory storage space than existing methods.
The Chan Zuckerberg Initiative is awarding $3.8 million to support essential open source software projects in biomedical research and clinical medicine. These grants will enable awardees to improve software tools, enhance collaboration, and advance biomedical science.
Researchers developed a software framework that incorporates computer vision and uncertainty into AI for robotic prosthetics, allowing users to walk safely on various terrains. The framework uses robust AI algorithms to predict terrain type, quantify uncertainty, and adjust behavior accordingly.
Purdue University innovators have developed a predictive cost-modeling tool to help manufacturers better understand overall production costs. The software allows users to vary manufacturing processes and study the effects on total costs.
Researchers develop a laser-based technique using OCT to capture detailed 3D reconstructions of impressionist paintings, enabling enhanced viewing experiences and conservation efforts. The technology also allows for the creation of digital 3D models that can be interacted with to examine brushstrokes and other details.
A study by the University of York and Empa shows that retrofitting VW diesel engines with software or hardware updates reduced harmful nitrogen oxides emissions by up to a third. The retrofitting was successful from an environmental point of view, with passenger cars showing significant improvements.
A new software application, developed by the University of Trento in collaboration with the University of Eindhoven, provides support for diagnosing Covid-19. The technology uses artificial intelligence to analyze lung ultrasound scans, offering faster and more accurate diagnoses.
The Video Enabled Justice Independent Evaluation found that new booking tool improved court processes with better oversight of the court's list. However, resource constraints hindered the tool's optimal functioning, highlighting the need for comprehensive planning and investment in audio-video equipment.
VoroCrust generates accurate digital representations of complex objects using Voronoi-cell meshes that conform to models without needing manual fixes. This software could save scientists hours of work and improve the efficiency of simulations for aerospace and other industries.
The US Navy is funding AnalySwift's SwiftComp software to improve the durability analysis of composite flexbeams in helicopters. This will reduce redesign time and cost, enabling more accurate predictions and saving millions of dollars.
Researchers at KU Leuven exposed a security flaw in Intel processors, revealing a vulnerability in SGX enclaves that can be exploited for sensitive information. The 'Load Value Injection' attack allows attackers to inject data into software programs, compromising passwords and other personal data.
Researchers from Hong Kong University of Science and Technology have developed virtualized acoustic metamaterials that can be tuned flexibly using software programs. This technology enables a range of applications including broadband stealth, active sound absorption, super-resolution imaging, and beyond.
E-scooters pose significant safety concerns, but new research highlights additional security and privacy risks including data breaches and spoofed GPS systems. The study identifies vulnerable points in the ride-sharing ecosystem that can be exploited by malicious actors.
The Wannier90 program has transitioned to a community-driven model, featuring new functionalities, improvements, and features. The 3.0 release includes methods for WFs calculation, parallelization, interfaces with new codes, and user functionality.
AnalySwift LLC will receive a $125,000 grant from NASA to further develop its SwiftComp software, which models high-strain composites used in space exploration. The technology will help NASA engineers design lightweight, time- and temperature-dependent structures for space missions.
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.