Articles tagged with Software
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.
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.
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.
A UOC study found that non-code tasks are highly significant in open-source systems, complementing programming work. Researchers analyzed 100 npm projects to gain a deeper understanding of collaboration dynamics.
Cidon's new software framework, XRP, aims to speed up cloud computing by offloading storage functions to the operating system. The project expects to more than halve computation and energy needed for common storage operations on fast storage devices.
Researchers at WVU are creating control software for aerial robots to survey Venus' atmosphere, helping model the evolution of climate on Earth. The aerobots will use a hybrid airship design and energy-efficient paths to explore the planet's surface.
A prospective study found that MRI outperformed conventional tests and FDG PET/CT for various staging endpoints in SCLC. Whole-body MRI and FDG PET/MRI were more accurate than FDG PET/CT for assessing local invasion extent.
Researchers developed an AI program that accurately identified patients at risk of serious illness due to blood infections, with an accuracy rate of 82%. The technology has the potential to serve as an early warning system for doctors, enabling them to rank patients based on their risk level.
Researchers from Kaunas University of Technology have developed an AI-based approach for contactless machine failure detection, using sound data from existing equipment. The solution is sustainable and relatively cheap, with no need for new sensors or equipment installation.
Fred Martin, a UMass Lowell computer scientist, is being recognized for developing an educational framework that introduces robotics and AI to K-12 students. His work has guided the development of primary and secondary AI education initiatives worldwide.
Researchers developed a technology that accurately detects lies by analyzing facial muscle contractions, achieving a success rate of 73%. The study identified two distinct groups of 'liars' based on cheek muscle and eyebrow activation, with potential implications for real-life deception detection.
Researchers developed an automated technique to search for simulation configurations that lead to severe problems in automated driving systems, excluding unlikely scenarios. The technique efficiently discovers situations with high acceleration and steering operation, increasing the significance and efficiency of testing.
A recent study by Shinshu University explores the early adoption of GitHub Discussions, revealing its utility for managing project discussions and identifying key factors for improvement, including guidelines for participation and encouraging core members.
A new computer program called Codetta can analyze the genome sequences of over 250,000 bacteria and archaea to identify alternative genetic codes. This could help scientists understand how genetic codes evolve and change.
Experts call for a national compensatory body and guarantee fund to compensate victims of mass-hacking, citing potential catastrophic consequences and financial losses. The UK has an opportunity to establish itself as a leading role in connected and autonomous vehicle development by creating an insurance fund.
Researchers at NJIT, USC, and Harvard are developing a new software called StreamWare to analyze multiple sources of live data. The team plans to test new combinations of algorithms and hardware accelerators on various data sets, aiming to demonstrate prototypes in 3-6 months.
A new rapid screening test for glaucoma uses infra-red sensors to monitor eye movement, providing accurate results within seconds. The test could help advance early detection of the disease, a leading cause of irreversible blindness, and make it more accessible for national screening programs.
A new method enables efficient discovery of reliable control system designs comparable to human experts, applicable to 'black box' systems without clear internal behavior. This research aims to reduce design costs and improve safety in various industries.
The University of Missouri is developing an online certificate program for clinical engineers through a $2.6 million grant from the Missouri Department of Higher Education and Workforce Development. The program aims to increase the number of trained and qualified clinical engineers in the workforce, particularly in rural communities.
A systematic review of social media research identified 46 harmful effects, ranging from psychological harms like jealousy and loneliness to security and privacy issues. The study highlights the need for user moderation and software development strategies to mitigate these negative effects.
A study using machine-learning models trained on over 1 million companies reveals that AI can accurately predict the success of startups. The tool, developed by researchers, has the potential to help investors make informed decisions and avoid significant losses.
Researchers found that students express concern about sharing personal information with exam proctoring companies, citing a lack of trust. The study recommends institutions use the minimum number of monitoring types necessary to ensure student safety and privacy.
Researchers developed an AI-powered tool to identify and recommend jobs based on underlying skill sets, increasing the chances of success in job transitions. The system can also respond to changes in job demand and provide precise skills needed to transition to a new occupation.
A team of Beckman researchers developed software to boost infrared imaging-based cancer diagnosis, enhancing image resolution and accelerating recording speeds. The software integrates data analysis and reduces limitations associated with IR imaging, making it faster and more accurate.
Lehigh University researcher Roberto Palmieri aims to make RDMA technology even faster by revisiting a long-held theory. His goal is to enable all machines to interact with local memory, reducing latency and improving performance.
The US Department of Energy has awarded $2.1 million to PPPL for three public-private fusion energy partnerships. These collaborations will bring together PPPL researchers with Microsoft, Commonwealth Fusion Systems, and TAE Technologies to develop innovative solutions using AI, computer codes, and novel superconductors.
Researchers analyzed 3 years of conversations at a software engineering organization and found a strong link between communication and productivity. The novel method used network and speech analysis strategies to predict employee productivity with an error rate below 10 percent.
Researchers developed a method to transform uncertainty-unaware controller models into robustified models that can safely behave under uncertainty. The method generates formulas representing the degree of uncertainty a controller can tolerate, enabling flexible analysis and consideration of real-world deployment situations.
Researchers from Universidad Complutense de Madrid have developed a method to measure the roughness of retinal layers, which indicates the early stages of Alzheimer's disease. The study uses fractal dimension analysis and can be used for quick and low-cost testing.
The Stanford Natural Capital Project has developed Urban InVEST software to visualize the links between nature and human wellbeing. The software helps city planners and developers design cities that maximize benefits to people while saving billions of dollars.
Researchers developed a new protocol called Blitz that improves the security and efficiency of cryptocurrency transactions. The new protocol reduces communication rounds to a single round, increasing practicality and reducing failed transactions by a factor of 4-33 compared to traditional Lightning Network.
A new study by California Institute of Technology researchers found that a computer program can accurately predict which paintings a person will like, using low-level visual attributes such as contrast, saturation, and hue. The program achieved similar accuracy to deep convolutional neural networks in predicting art preferences.
Researchers developed SeKVM, a system that guarantees the security of virtual machines in the cloud through mathematical proof. This breakthrough enables companies and users to trust their data and computation in cloud computing providers like Amazon.
The new software suite Quest helps utility companies and businesses evaluate energy storage scenarios and model its potential. Energy storage systems increase grid stability and reliability by capturing energy when produced and saving it when needed.
Researchers have created a software that can decode brain signals to translate mental handwriting into text on a computer screen. The technology, called 'mindwriting,' has been tested on a man with full-body paralysis and achieved speeds of over 18 words per minute, rivaling those of able-bodied peers.
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.