Articles tagged with Information Technology
A team at Max Born Institute develops methods to reliably create and guide magnetic skyrmions at controlled positions, enabling the study of their dynamics and potential applications in computing and data storage. By employing focused helium-ion irradiation and nanopatterned reflective masks, researchers can control the generation and ...
A case study in Laos explores the application of climate services for agriculture, demonstrating improved agricultural planning and decision-making through ICT-based platforms like LaCSA. The project successfully co-created agromet services with local stakeholders, increasing capacities and promoting resilience to climate risks.
Steve Petruzza has been awarded a $600,000 NSF grant to develop tools and techniques for next-generation adaptive data layouts. This will address the increasing gap between computing power and data movement, enabling efficient access to large datasets.
Researchers built a two-stage warning system predicting solar flares within 48 hours via k-means clustering and neural networks. The model improved recall while increasing precision, but lost some positive sample information, affecting prediction accuracy.
NTU Singapore has launched the Algorand Centre of Excellence at NTU (ACE@NTU), a new research and education centre focused on developing and advancing blockchain technologies. The centre aims to become the nexus for blockchain education and research in Singapore and the region.
The project seeks to create accessible maker programs for blind and visually impaired learners, developing training materials for librarians and maker professionals. The initiative aims to enhance BVI learners' computational thinking skills and STEM interests, while helping librarians become more confident in working with BVI populations.
The University of Illinois School is awarding a grant to explore the use of conversational AI in libraries, aiming to strengthen engagement between libraries and diverse audiences. The project will investigate ways to democratize conversational AI for librarians, enhancing workforce development and community service.
Researchers have developed a new chip-based beam steering device that eliminates aliasing errors, enabling high-quality beam steering over large fields of view. The device, published in Optica, has the potential to revolutionize lidar applications in autonomous driving, virtual reality, and biomedical sensing.
Researchers from GIST have developed an amphibious artificial vision system with a panoramic field-of-view based on the Fiddler crab's eye structure. The system overcomes limitations of current artificial visions, enabling imaging in both aquatic and terrestrial environments.
A team led by Professor Song Min Kim developed a system that can support concurrent communications for tens of millions of IoT devices using backscattering millimeter-level waves. The system offers internet connectivity on a mass scale to IoT devices at a low installation cost.
The NIH announced five cash prize winners and four honorable mentions in its Maternal Health Diagnostics Challenge. The winning technologies aim to reduce maternal morbidity and mortality, with a focus on detecting and differentiating common pregnancy-related conditions.
A three-year study found that librarian-teacher co-teaching significantly facilitates learner-centered instruction, such as maker learning and inquiry learning, across all levels of schools. School librarians played a crucial role in making these individualized learning opportunities possible by using various instructional methods.
Researchers from Portland State University introduced a four-week GIS training workshop in Dallas, Texas, to teach high school students spatial reasoning skills. The project partnered with CityLab High School and incorporated the curriculum into an existing course focused on transportation networks and environmental justice.
Researchers from Politecnico di Milano have developed a programmable photonic processor that can separate and distinguish optical beams even if they are superimposed. This device allows for high-capacity wireless communication, with transmission rates of over 5000 GHz.
Researchers observe a significant increase in electrical conductivity when mica is thinned down to few molecular layers, exhibiting semiconductor-like behavior. The findings suggest that thin mica flakes have the potential to be used in two-dimensional electronic devices with exceptional stability and durability.
Researchers developed a neural network algorithm that recognizes emotions and engagement from video images of faces, outperforming existing models in accuracy. The system can be integrated into video conferencing tools and online learning systems to analyze participant engagement and emotions.
The article discusses how big data can improve non-communicable disease (NCD) surveillance by providing real-time information and reducing costs. This new approach uses electronic health records, national administrative data, and other datasets to track NCDs more effectively.
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.
A new technique, SA-MDP, has been developed to solve the sensitive association rule problem in data mining. It uses a customized particle swarm optimization algorithm to balance data utility and privacy, and introduces particle splitting and preprocessing mechanisms to improve exploration and speed.
Researchers developed an evidence-based app to support caregivers in managing complex medication regimens for individuals with dementia. The Helping the Helpers app leverages virtual component and participatory co-design with caregivers to address significant caregiver burden, stress, and potential mistakes.
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...
Researchers created VoxLens, a JavaScript plugin that allows screen-reader users to interact with visualizations by gaining high-level summaries, listening to graph translations into sound, or using voice-activated commands. The tool shows improved accuracy and interaction time for users compared to those without access to the plugin.
A new study found that female-owned startups funded by female venture capitalists are two times less likely to get additional financing compared to those with male investors. Female founders who receive support from a woman were perceived as less competent and had their business ideas deemed less promising. In contrast, startups with b...
A new project led by University of Illinois professor Jingrui He seeks to detect and predict insider threats in large organizations. The team will use multimodal data to identify outliers and rare category types of insider threats and propose dynamic update techniques.
A new tool called DeepSqueak uses deep learning to identify marine mammal calls with high accuracy, even in noisy environments. The tool was originally developed for rodent ultrasound signals but has been adapted to detect sounds at other frequencies, including humpback whales and delphinids.
Researchers at the University of Exeter are using satellites and drones to track the availability of flowers for pollinators. This technology could be combined with behavioral studies to better understand the impact of human activity on pollinator habitats, leading to more effective conservation efforts.
A new Regenstrief Institute study evaluates commercially available matching methodologies against real-world gold standard data to identify opportunities for improving match accuracy. The study found that referential patient matching demonstrates greater sensitivity and accuracy than traditional probabilistic approach.
Introducing CBDC with strictly positive interest can remove economic inefficiency associated with tax evasion, improving welfare. However, its impact depends on the size of government expenditure and severity of tax evasion.
A new study from the Regenstrief Institute examines the effects of clinical texting on hospitalist and nurse communication, highlighting both benefits and challenges. The study suggests that clinical texting can improve communication, but also raises concerns about user buy-in and shared understanding.
A new study published in INFORMS Journal Manufacturing & Service Operations Management found that augmented reality devices increase worker productivity by 44% compared to traditional paper instructions. However, this technology also hinders long-term innovation and efficiency in the workplace.
Researchers developed an improved transient spectrometer combining TCSPC with a pulse generator to investigate energy transfer mechanisms and exciton evolution in organic light emitting diodes. The technique's superior sensitivity enables extraction of mobility information, providing valuable insights into device physics.
Researchers at the University of Copenhagen have developed a new position-based quantum encryption method that uses a person's geographical location to guarantee secure communication. This method makes it difficult for hackers to impersonate users and exploit online communications.
Researchers at ETH Zurich have developed an automated way to analyze animal behavior from video footage using computer vision and machine learning. The new algorithm can distinguish individual animals and identify specific behaviors, such as curiosity or fear responses, with high accuracy.
Researchers analyzed 61 COVID-specific chatbots in 30 countries, finding common uses such as risk assessment, symptom data collection, and appointment scheduling. They also discovered that anonymity of user interactions varies across cultures, affecting the effectiveness of follow-up services.
A study analyzed perspectives on personal health records from cancer patients and providers, highlighting the need for discussions about record uses. Implementing PHRs more widely, tailoring them to specific conditions, and making them user-friendly are next steps to improve patient-centered care.
The VIGICOVID system uses deep neural architectures to answer natural language questions about COVID-19 and SARS-CoV-2. Researchers have developed a prototype that provides good results and can be easily scaled up for marketability.
Researchers developed a new framework to extract meaningful vectorial metrics from Mueller matrix elements, providing insights into exotic material characterization and precise cancer boundary detection. The framework establishes a universal metric for calculating different physical properties of target objects.
A study suggests that smartwatch heart rate measurement algorithms are less effective in people with darker skin tones due to increased melanin absorption. Researchers emphasize the need for diverse population inclusion and explore alternative light wavelengths for more accurate readings.
A massive volcanic eruption at the end of the Triassic period caused a global cooling effect, leading to the mass extinction. The event paved the way for the rise of dinosaurs as their natural predators went extinct.
A new study published in Manufacturing & Service Operations Management finds that partnering with governments is essential for providing cash assistance to refugees. The researchers recommend adopting a price-dependent cash assistance policy to restore distorted incentives and benefit both refugees and host communities.
The study found that music labels with broader experience were able to respond better to the emerging demand for novelty and genre variety. This led to significant changes in strategy among music labels, resulting in improved performance and revenue growth after the inclusion of streaming on Billboard's charts.
Researchers have developed a direct method for generating complex structured light through intracavity nonlinear frequency conversion. This technique uses transverse mode locking to produce vortex beams, which are then converted into second-harmonic generation beams with distinct structural characteristics. The study demonstrates the p...
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.
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.
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.
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.
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.
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.
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.