Articles tagged with Information Technology
Researchers create a prediction market where AI agents make predictions on hypothetical replication studies, providing explainable and scalable confidence estimates. The system achieved accuracy of approximately 90% in predicting replication outcomes.
A research team at Pohang University of Science & Technology developed an optical encryption platform that works in both the visible and ultraviolet regimes. The platform uses metasurface technology to display unique product numbers and improve encryption security.
Researchers at West Virginia University are using machine learning and geographic information systems to identify areas with low COVID-vaccine uptake. They aim to pinpoint counties with increased risk of outbreaks, predict where testing is most crucial, and develop targeted interventions to increase testing rates. By acknowledging comm...
A new study by the University of Illinois Urbana-Champaign and Baylor University found that self-regulation on Airbnb platforms can lead to a 5% reduction in average crime rates, but may also increase theft incidents. Self-regulation is critical to reducing crime linked to commercial listings.
Researchers at Toyohashi University of Technology developed a microchip capable of detecting ultra-low concentrations of prostate cancer antigens using flexible nanosheets. The chip's lower detection limit is comparable to that of large testing devices, enabling fast and accurate diagnosis.
A novel 'double lock' system uses thermoresponsive polymer hydrogels to encrypt information, readable only at specific temperature and time windows. The system combines physical methods for decoding, increasing security while maintaining simplicity.
The SynGAP Research Fund has developed a pre-screening tool to identify potential SYNGAP1 patients through a free online survey. The partnership with Probably Genetic aims to screen undiagnosed patients and provide them with genetic testing resources, ultimately advancing treatment development for SYNGAP1.
Researchers explore the intersection of technology, social sciences, and narratives to combat disinformation. Experts discuss how technical solutions can be coupled with social interventions to effectively address the issue.
The COVID-19 pandemic has accelerated humanity's transition to a new technological stage, particularly in fields like medicine, biotech, and robotics. This shift is expected to bring about significant socio-political changes, including the development of an e-state and the increasing role of sociotechnical systems in managing society.
A review by Nathan et al. showcases big-data revolution in movement ecology, revealing new insights into animal behavior and habitat use. Reverse-GPS systems, such as ATLAS, track animals with high accuracy, while acoustic telemetry tracks aquatic life, providing crucial data for conservation.
Researchers have developed a system that can capture the information in speech signals similar to how humans perceive speech. The method uses a matching pursuit algorithm and psychoacoustic principles to produce high-quality resynthesized speech signals with natural accents.
The National Science Foundation's CyberCorps Scholarship for Service program will provide training and scholarships to the next generation of information technology experts and security managers. The Binghamton University partnership aims to diversify the workforce with a focus on attracting underrepresented minorities.
Researchers at GIST demonstrate that ultrasound pulses can reduce β-amyloid plaque concentration and tau protein levels in AD-model mice, suggesting a promising non-invasive therapeutic strategy. The treatment also improves brain connectivity without causing harm to brain tissue.
Adding women to a company's board of directors can help speed up necessary product recalls and increase customer safety, according to new research. Companies are also less likely to hide quality problems when more women are on the board.
The new BD CellView Image Technology enables high-speed sorting of individual cells based on detailed microscopic analysis, accelerating discovery research in immunology, cell biology, and genomics. This technology has the potential to unlock new cell-based therapeutic discoveries and transform various fields of biomedical research.
A new project aims to improve the performance of Graph Neural Networks (GNNs) by leveraging weak supervision and additional information. The research has potential applications in fraud detection, agriculture, and cancer diagnosis.
A new study reveals that mobile apps for hospitalists lack user-centered designs, relying on paper and memory for tasks. The authors propose prioritizing data entry and presentation apps to improve continuity in hospital-based medicine.
Kids consider track record of accuracy and degree of access to knowledge when judging a communicator's trustworthiness. Children who received accurate non-verbal cues in the familiarization phase followed them in the test phase 83% of the time.
A new neural net technique combines optical imaging and synthetic-aperture radar to provide a single comprehensive data source, enhancing disaster response capabilities. The approach achieves up to a 96% accuracy rate in detecting objects and can be applied to various tasks such as crop health monitoring and building identification.
This special issue explores how new technologies impact marketing, including improved firm-consumer interactions, new data forms, and enhanced decision-making capabilities. Researchers develop frameworks for understanding the role of new technologies in driving marketing innovations.
A Korean research team has developed a metasurface-based optical device that can store over 100 times more information than conventional rainbow hologram stickers. The device selectively displays images according to angle, color, and polarization, making it highly secure against counterfeiting.
Researchers developed AI that extracts hidden equations of motion from observational data, creating models faithful to the laws of physics. This enables physics-based investigations and simulations for ecosystem sustainability, among other applications.
A new study published in BMJ Health & Care Informatics examines decades of dashboards designed to communicate health data, highlighting the need for user-centered design and effectiveness testing. The research aims to guide the development of dashboard enhancements and customizations that support informed decision-making.
Researchers aim to develop AI agents that reuse information, adapt quickly to new conditions and collaborate by sharing experiences. The goal is to enable machines to continually learn from their collective experiences and improve performance on novel and previous tasks.
Researchers have developed a high-resolution radar sensor that can reliably distinguish between cars and pedestrians, providing counts, speed, and direction of each moving target. The sensor outperforms cameras in low-visibility conditions and beats conventional radar by providing a richer picture.
The human brain contains trillions of contact points, requiring massive computational resources. Researchers outline the need for exascale computing power to tackle brain complexity.
Research found that US adults are divided on biometric technology use, with some comfortable using various forms like fingerprints and others uneasy about DNA and facial recognition. Context plays a significant role in shaping perspectives on biometric technologies.
Researchers at Singapore University of Technology and Design found that adding carbon emission labels can influence online shoppers to choose more sustainable shipping options. The study showed that slow shipping options result in lower emissions but longer delivery times, with an 81% reduction in emissions possible.
A Cornell University study finds that rural Bangladeshi villagers rely on local experts, spiritual views and social justice to evaluate new coronavirus information. They use a five-part system called 'situated fact-checking' to assess claims, considering factors like the source's reputation and the community's sense of morality.
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 study at the University of Missouri found that telehealth reduced stress for nursing home residents while increasing access to convenient care. However, it also removed socialization opportunities and created confusion for residents with cognitive difficulties.
Researchers from Germany and Spain successfully create a uniform two-dimensional material with exotic ferromagnetic behavior known as easy-plane magnetism. This discovery opens up new possibilities for spintronics, a technology that uses magnetic moments instead of electrical charges.
A lung model mimicking complex anatomy has enabled the assessment of respiratory volumes using a gas-in-scattering-media absorption spectroscopy (GASMAS) technique. The study demonstrates the feasibility of GASMAS to sense changes in gas volume in a controlled environment, paving the way for potential clinical applications.
A new project aims to empower people who are blind to independently review and protect their personal visual content from accidental privacy leaks. Researchers have developed novel computer vision algorithms that can detect sensitive information in images and videos, allowing users to blur or remove private content before sharing.
Researchers discovered a novel topological edge soliton that inherits topological protection from its linear counterpart, enabling robust and localized light beams. This breakthrough is achieved through nonlinear photorefractive lattices harnessing the valley Hall effect, without requiring an external magnetic field.
A case study evaluated the experience of a deafblind adult using three wayfinding support tools on an urban college campus. The tactile map proved to be the most successful tool, while the mobile application yielded the lowest performance and confidence. Simplifying wayfinding tools and tailoring information to individual preferences a...
Research at RMIT University uses Getty's top lists of editorial pictures to analyze daily investor sentiment, predicting stock market returns based on global mood. The algorithm produces a daily score from 10 popular photos, providing a quick snapshot of investment mood across developed and emerging economies.
The INRS team has developed an intelligent optical chip that uses autonomous learning approaches to generate optical waveforms, paving the way for further advances in telecommunications. The device can autonomously adjust to a user-defined target waveform with strikingly low technical and computational requirements.
Researchers developed PocketView, a display technology that shows basic information like notifications and time through fabrics, offering versatility and ease of use. The technology is relatively inexpensive and can be incorporated into existing devices, making it a potential game-changer in wearable tech.
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.
Researchers have developed a federated analytics system, FAMHE, that enables healthcare providers to collaborate on statistical analyses and machine learning models without exchanging underlying datasets. The system has been proven mathematically secure and accurately reproduced published studies in multi-centric settings.
A novel metagenome assembler called MetaPlatanus has been developed to improve DNA sequence accuracy, including those of uncultured organisms. The tool uses accurate short DNA sequence reads to assemble contigs and scaffold larger chromosome-scale structures.
A team of researchers has created a virtual fitting room system using AI and a bespoke robotic mannequin. The system can digitize garments in two hours and synthesize photorealistic images, allowing users to try on clothing in real-time.
A study of over 2,000 European retirees found that internet usage after retirement is associated with better cognitive scores. Specifically, female retirees who regularly surfed the internet recalled more words on a word recall test compared to their non-internet-using counterparts.
The article highlights the need for financial and technological support to enable effective interprofessional teams in primary care. The authors suggest training community members to serve their communities and exploring how diversity impacts patient care outcomes. They also advocate for innovative payment models that allow primary car...
Researchers from UTHealth and Baylor College of Medicine recommend that EHR developers annually assess their products to ensure safety recommendations are met. The authors suggest three strategies to complement the new CMS rules, aiming to distribute responsibility for safety improvements evenly between designers, developers, and users.
A new study suggests that computing and ICT could be responsible for a greater share of greenhouse gas emissions than previously thought, potentially surpassing the aviation industry. The researchers argue that historical evidence shows ICT's footprint has increased despite efficiency gains.
A new study in the Journal of Marketing uses big data from over 100 million social media user engagements to derive marketing insights. The research captures latent relationships among thousands of brands and across many categories, revealing a highly precise market structure. This allows product managers to identify potential threats ...
Researchers developed WebFRIS, a web-based platform to provide socio-economic vulnerability analysis and simplify flood risk information. The tool can help formulate targeted solutions and enhance social capacity and resilience in flood-prone regions.
A new project aims to bring data science into the curriculum of Penn State's engineering programs, focusing on critical thinking, problem-solving, and community awareness. The researchers plan to collaborate with local communities, industry, and K-12 schools to provide students with real-life data sets and projects.
Investors who need more help from robo-advisors are less likely to adopt them. Those who do use RAs often adjust their usage in response to recent performance, leading to suboptimal outcomes. The study suggests that human-artificial intelligence synergy can be counterproductive if humans have too much control over RA usage.
A new UBCO study determines that wearable technology and telehealth can tailor treatment plans for Parkinson's disease by identifying peak times of symptoms. The research found positive experiences and health outcomes for patients using wearable devices in combination with telehealth appointments.
Researchers have discovered a way to induce magnetic waves in antiferromagnets using ultrafast laser pulses, potentially leading to faster and more efficient data storage. This technology could endow materials with new functionalities for energy-efficient and ultrafast data storage applications.
The DTU researchers have developed a universal measurement-based optical quantum computer platform, enabling the execution of any arbitrary algorithm. The platform is scalable to thousands of qubits and can be connected directly to a future quantum Internet.
Researchers at Aalto University have discovered that fibrous red phosphorous, when electrons are confined in its one-dimensional sub-units, shows large optical responses. The material demonstrates giant anisotropic linear and non-linear optical responses, as well as emission intensity.
Researchers discovered that almost half of patients who received personalized information about community resources shared them with at least one other person. Individuals in poorer health were more likely to report sharing the information, and those who visited or used a resource on their list were also more likely to share it.
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.
The UMass Amherst AI-EDGE institute will focus on designing wireless edge networks that are efficient, reliable, and secure. The goal is to solve long-standing distributed AI challenges by analyzing and managing vast amounts of data in real-time.
Researchers developed a non-invasive optical technique using spectroscopy to identify structural changes in the brain and diagnose Alzheimer's disease. The new technology has potential as a simple, completely non-invasive method of early detection and could also assess treatment effectiveness.
Researchers at GIST develop a novel framework that achieves state-of-the-art accuracy in multi-object tracking using deep temporal appearance matching association (Deep-TAMA). The approach combines joint-inference neural networks with long-short-term-memory networks to overcome challenges such as occlusions and lighting changes.