Articles tagged with Software
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.
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.
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...
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.
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 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.
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.
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.
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.
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.
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.