Articles tagged with Information Technology
A team of researchers from Rice University, Baylor College of Medicine, and Northern Illinois University are developing an open source system called FLASH to objectively measure children's screen-viewing behaviors. The five-year grant includes funding for three long-term studies on the impacts of screen use on young children.
A recent study by Tokyo University of Science researchers provides theoretical foundations for effective parameter tuning in the Bernoulli shift map. They used modular arithmetic to determine optimal parameter values for preserving chaos, with implications for other chaotic maps like the tent and logistic maps.
Researchers developed high-capacity free-space optical links using unipolar quantum optoelectronic devices, achieving unprecedented data rates of up to 30 Gbit/s at 31-meter distances. The system's performance is resistant to weather conditions and showcases potential for fast, long-range optical links.
The Arizona State University's Quantum Collaborative is a major initiative promoting understanding of advanced quantum technology and forging partnerships to advance it. The collaborative aims to develop a robust talent pipeline for a quantum-enabled economy through certifications, upskilling opportunities, and modified degree programs.
A research team from DTU has successfully designed and built a structure that concentrates light in a volume 12 times below the diffraction limit, paving the way for revolutionary new technologies. The breakthrough could lead to more sustainable chip architectures that use less energy.
A team of researchers from Pohang University of Science & Technology (POSTECH) has created a fixed LiDAR sensor that can see objects in all directions. The new sensor uses a metasurface to expand its viewing angle, allowing for 360° recognition and three-dimensional imaging.
A new multimodality prediction method jointly learned vision and sequence information for accurate solar wind speed prediction. The model achieved best performance in many metrics, including RMSE, MAE, and CORR, and demonstrated the effectiveness of each module in improving prediction accuracy.
Researchers from Osaka University create an unobtrusive edible tag embedded inside cookies that can be read without destroying the food. The 'interiqr' method uses 3D printing to contain patterns of empty spaces, making QR codes visible with a simple backlight.
A recent study published in Engineering Construction & Architectural Management identified the main obstacles preventing digital transformation in the engineering and construction industry. The three main problems are a lack of laws and regulations, a lack of support and leadership, and a lack of resources and professionals.
Researchers found that AI language models exhibit significant implicit bias against individuals with disabilities, resulting in inaccurate sentiment analysis and potential misclassification of posts as toxic. The models' biases were apparent in various applications, including autocorrect and social media content moderation.
A team of Illinois Tech researchers used machine learning to estimate the age and gender of individual users with high accuracy, raising questions about data security and privacy. The study highlights the need for better regulations and best practices to protect personal information from being misused.
The Keck School of Medicine's Stevens INI has received a nearly $2 million grant to upgrade its storage system, increasing its capacity to handle vast amounts of brain imaging data. This will enable the lab to maximize scientific productivity and fulfill its promise to collaborate with researchers globally.
Researchers from the Institute of Physical Chemistry, Polish Academy of Sciences, recorded double Hopf bifurcation behavior of light during laser operation. They also demonstrated real-time experimental observation of the phenomenon and proposed a new methodology to interpret the observed dynamics.
Researchers at Martin-Luther-University Halle-Wittenberg have successfully generated non-linear spin waves with half-integer multiples of the excitation frequency, a key finding for spintronics applications.
The NIH is launching a $8 million prize competition to develop technologies improving postpartum healthcare in areas with limited access to maternity care. Diagnostic devices and wearables are prioritized to detect conditions like heart-related conditions, infection, and bleeding during the first year after delivery.
A UC researcher is using information technology to track and study the endangered little brown myotis bat species in Ohio. The team has established a summer roost at Clendening Marina, where they are collecting data on the population's size and trajectory.
A new study from the University of Kansas found that racial and ethnic minority populations in the US faced unique challenges while seeking COVID-19 information online, including misinformation, harassment, and hostility. Younger and healthier individuals were more resistant to vaccination due to lower perceived risk and benefit.
Researchers find XAI methods improve AI performance and explain bias in data, enabling accurate applications like insurance decision-making. Implementing XAI helps manage power consumption and optimize AI systems for efficient Industry 4.0 growth.
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.
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.
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 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.
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 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.
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 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 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 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 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 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 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...