Articles tagged with Information Technology
Researchers developed a model to track COVID-19 data, predicting transmission and informing health surveillance systems. The model successfully predicted the spread of COVID-19 in Cali, Colombia, highlighting the importance of high-resolution data in understanding virus dynamics.
Researchers at Pohang University of Science & Technology have created a high-performance AI semiconductor device using IGZO, achieving over 98% accuracy in handwritten data classification. The new device's design enables efficient linear and symmetric programming, making it suitable for large-scale AI applications.
A new study using ChatGPT highlights the challenges of AI in academia, including concerns over academic dishonesty. However, researchers believe that AI can also be leveraged to improve education by automating administrative tasks and adapting assessments.
Researchers achieved optical switching of a light signal at attosecond speeds, exceeding data transfer speeds by 1 million times. This breakthrough enables the development of ultrafast optical electronics and could increase data processing speed in long-distance communications.
An international team developed a novel method for evaluating AI interpretability methods to decipher the basis of AI reasoning and possible biases. The approach helps users understand what influences AI results and whether they can be trusted, especially in medical applications where AI-powered decisions can impact health and lives.
A clinical study found that children ages 2 to 6 with type 1 diabetes using an artificial pancreas system spent more time in their target blood sugar range, reducing anxiety for families. The system improved nighttime blood glucose control and was used safely by participants.
A study by Texas A&M University researchers found that state policies improving data protection led to increased adoption of health information exchanges (HIEs) and health IT usage. States with favorable legal environments for HIEs saw a rise in HIE adoption, while those with restrictive laws experienced limited growth.
A new method for estimating sound direction using monaural cues has been proposed by researchers at Japan Advanced Institute of Science and Technology. The approach uses modulation in the frequency spectrum of the received signal to detect the signal direction, achieving accurate estimates even with human monaural hearing.
New research reveals that Gen Z values authenticity in online personal branding strategies, using platforms like LinkedIn to project strong impressions. Study findings suggest that imperfection is beneficial for job seekers, with employers seeking unique points and cultural fit.
Scientists create optical imaging method to detect specific neurotransmitters serotonin, dopamine, and acetylcholine using fMIP-NPs. The technique demonstrates feasibility in selective detection of neurotransmitters released in the brain.
Researchers found that televised debates have little effect on voter decisions, with information from other sources such as media and activists being more influential. Voter choice consistency increased by 17 percentage points over the last two months of campaigns, affecting electoral results.
Researchers are developing a deep learning model to predict where waste is accumulating in cities and how often public bins should be cleared. This can help councils optimise their waste management services, schedule bin clearances and relocate rarely used bins.
A new cybersecurity framework uses digital twin technology, machine learning, and human expertise to detect cyberattacks in manufacturing processes. The framework analyzes continuous data streams from physical machines and their digital twins to identify irregularities and flag potential threats.
A University of Copenhagen study examines how data is used in asylum decisions, revealing inconsistencies and discrepancies that can lead to applicants being deemed untrustworthy. The research highlights the opaque nature of the decision-making process and the need for critical evaluation of new data types.
Researchers at UTHSC are conducting a study on interactive technology to aid weight loss in overweight and obese adults. The CHAMPS program will deliver a weight loss program via internet, patient portal, text messaging, and phone calls to reduce barriers and promote significant weight loss.
A Penn State-led research team found that language models can plagiarize content in three ways: verbatim, paraphrase, and idea reuse. The study highlights the need for more research into text generators and their potential ethical implications.
A MIT experiment equipped second-hand bicycles with mobile trackers to track their whereabouts over time, revealing that most stolen bikes remain in the local area. The majority of bikes were resold and re-used within the city's bike fleet.
A University of Kansas study analyzed over 1,000 AI-generated ads and found that they are only labeled as ads about half the time, often appealing to consumers in positive ways. The prevalence of AI in programmatic advertising raises concerns about consumer deception and the need for updated guidelines to require transparency.
Researchers tested three common techniques to make algorithms fairer and found that one approach didn't reduce social norm bias at all. They proposed a new technique: a formula to directly measure social norm bias in an algorithm so it can be corrected. This bias can persist even after overt discrimination is removed.
A group of researchers from Chung-Ang University have summarized the applications based on anomaly detection in multivariate time series. They evaluated the current state-of-the-art anomaly detection techniques and addressed the challenges associated with them, providing a thorough overview of the applications for anomaly detection in ...
Researchers identified 7 key symptoms of long COVID, including heart issues and joint pain, in a study of 52,461 patients. The findings could help healthcare providers diagnose and treat the condition more effectively.
A new Swedish quantum computer is being made available to the industry, accompanied by a test bed and a quantum helpdesk. The test bed will allow companies and researchers to solve problems using quantum technology at a significantly lower cost than existing commercial options.
A new study analyzed nearly 20,000 conversations between online users and a chatbot called SimSimi to understand user interactions during the COVID-19 pandemic. The researchers found that daily chats with the chatbot mostly led to positive emotions and reduced negative moods during lockdowns.
Researchers developed an eight-point framework to assess the validity and performance of patient matching tools. The framework provides a standardized approach to evaluate patient matching algorithms, covering technical areas such as data preprocessing and record adjudication.
Card game addiction is linked to jerky physical values like unpredictable surprise. Researchers found that certain games balance certainty and uncertainty well, making them fast-paced and rewarding.
Engineers at Diraq and UNSW Sydney discovered a new way to precisely control single electrons in quantum dots using electric fields, which is less bulky and requires fewer parts. This breakthrough technique can help achieve the goal of fabricating billions of qubits on a single chip for commercial production.
A study found that remote workers are more likely to protect IT resources when faced with fear and a clear understanding of potential security threats. Employers can encourage secure behaviors by clearly communicating threats and promoting self-efficacy, and also consider integrating stewardship theory to promote a sense of collectivism.
Researchers have developed shortwave-infrared and thermal imaging techniques to accurately diagnose active dental caries. SWIR-based approach shows superior results in detecting lesions, while thermal imaging proves less effective.
A survey of researchers and the public reveals a high percentage are in favor of proceeding with neuroscience research and brain-related information use. The general public expresses hopeful feelings about this research, while major differences exist between the two groups on ELSI topics.
A new microresonator technology is being developed to analyze chemicals using light, enabling faster diagnosis of diseases like COVID and diabetes. The device can retain light waves for longer periods, amplifying optical fields and making nonlinear processes easier.
Researchers at POSTECH have created a humidity-responsive display that changes brightness and color depending on humidity levels, allowing for infinite imaging capabilities. The technology uses polyvinyl alcohol (PVA) and single-step nanoimprinting to achieve high-tunability of holographic images.
The RITHMS project aims to enhance police forces' and customs authorities' capabilities in tackling illicit cultural trafficking with innovative technologies. The platform will utilize Social Network Analysis to identify organized criminal networks and provide valuable information to investigators.
Researchers at the University of Central Florida have created a technology that converts radio frequency signals into direct current electricity, reducing the need for batteries in wireless systems. This innovation can help promote a more sustainable future by harnessing ambient energy from radio waves.
Researchers from Nagoya University found that 5G network telemedicine is effective in providing telerehabilitation and teletreatment in a remote community. The study showed that 5G transmitted high-definition images with low latency, reducing the need for physical therapist visits and improving patient outcomes.
Researchers developed a new lidar technique using 3D flash lidar combined with super-resolution algorithm for hazard avoidance during landing. The technique improved the precision and safety of robotic vehicles on Mars, enabling them to navigate through challenging environments.
The NASA Deep Space Optical Communications project has successfully demonstrated a new type of laser system that can transmit large amounts of data, including high-definition images and video, through space. The system uses a combination of flight and ground-based lasers to establish an optical link between spacecraft and Earth.
Scientists at Johannes Gutenberg University Mainz have developed a new class of materials for transporting spin waves over long distances in antiferromagnets. This breakthrough could significantly increase computing speed and reduce waste heat in microelectronic devices.
A team of researchers proposes an intelligent routing scheme to optimize link load balancing in software-defined networks, achieving significant performance improvements. Their algorithms outperform traditional methods, reducing maximum bandwidth by 24.6 percent in real-world topologies.
Researchers investigate how voice technology affects consumers' willingness to disclose personal info, with potential benefits for marketers and policymakers. The study reveals that voice technology can both increase and decrease disclosure, depending on the context.
Researchers from Kaunas University of Technology and Lithuanian University of Health Sciences developed an AI-based system to evaluate the 'substitute voice' of laryngectomy patients, allowing for faster detection of pathologies. The Acoustic Substitution Voice Index (ASVI) uses acoustic parameters and artificial intelligence methods t...
A new intelligent observer for Esports has been developed using a Mask R-CNN algorithm to learn from human spectating data. This approach overcomes limitations of existing automatic observers, which require extensive domain knowledge and cannot capture undefined events or changes in event significance.
Scientists successfully transmit and switch 15-mode multiplexed signals over a 6.1 km long multi-mode fiber ring in Italy, demonstrating a new approach to increasing fiber network capacity. This achievement is significant for future communication systems beyond 5G.
A new smartphone healthcare app called CALO mama Plus has been found to lead to significant reductions in body weight. The study, conducted by researchers from the University of Tsukuba, tested the efficacy of a comprehensive behavior modification app and found it to be as effective as established interventions.
Scientists at Tel Aviv University have developed a method to create the thinnest possible ladder steps made of distinct electric potentials, which can be used as independent information units. The discovery enables the creation of novel devices with potential applications in electronics and optomechanics.
Research from Binghamton University found that government agencies struggle with innovation due to risk-aversion and compliance constraints. Digital platforms can help strike a balance between standard and flexible approaches, enabling efficient innovation.
A novel multi-modal image retrieval system, DenseBert4Ret, has been developed by researchers from Gwangju Institute of Science and Technology (GIST) using deep learning algorithms. The system outperforms state-of-the-art models in retrieving images based on both image and text features.
A team of Lehigh University researchers is investigating the role of online media in shaping facts and influencing behavior during the COVID-19 pandemic. The project aims to better understand how individuals and communities develop their understanding of major events, ultimately acting on that understanding.
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.