Articles tagged with Information Technology
A new mobile phone-based facial recognition application for dogs has been developed to improve rabies vaccination efforts in endemic areas. The app was tested at a clinic in rural Tanzania and proved remarkably accurate, identifying 76.2% of vaccinated dogs and 98.9% of unvaccinated dogs.
Researchers at Paul Scherrer Institute created solid-state qubits from rare-earth ions in a crystal, showing that long coherences can exist in cluttered environments. The approach uses strongly interacting pairs of ions to form qubits, which are shielded from the environment and protected from decoherence.
A new technology uses meta-optical devices to perform thermal imaging, providing richer information about imaged objects. The approach can be used for various applications such as autonomous navigation, material identification, security, and medical imaging.
A recent study suggests that AI can provide real-time analysis of foods and support nutritionists in their work with patients. The study evaluates the consistency and accuracy of AI in providing energy and macronutrient information, showing promising results.
A new study from the University of Ottawa and Copenhagen Business School finds that removing human bias from organizational processes can lead to autonomous systems that create their own environments. This could limit human ability to recognize automation biases, notice environmental shifts, and take action.
A new technique for photon detection has been developed by UCF researcher Debashis Chanda, offering ultra-sensitive detection at room temperature. The method uses a phase-change material to modulate the frequency of an oscillating circuit, paving the way for low-cost, high-efficiency uncooled infrared detectors and imaging systems.
The initiative aims to standardize social risk factors data in EHRs, enabling clinicians to monitor and address patients' social and clinical needs comprehensively. This will positively impact individual patients and support efforts to track health inequities at the population level.
The Tokyo University of Science team has created a device that enables the simultaneous evaluation of many cancer cells, allowing for rapid and accurate analysis. The system, called cROT, increases throughput to 2,700 cells per hour, making it more than 100 times faster than traditional methods.
A new study provides practical guidance for implementing governance for sharing EHR data for chronic disease surveillance, which could reduce delays and provide more accurate metrics. The approach has already shown success in the Multi-State EHR-Based Network for Disease Surveillance.
Researchers found that social media influencers with distorted messages cause political parties to moderate their policies to win over independent voters. However, this leads to traditional media outlets becoming more extreme in their editorial positions, and citizens swayed by influencers growing more polarized.
Researchers found a strong preference for extroverted virtual assistants and increasing personality similarity led to higher ratings, more careful assessment of information, and resistance to persuasive attempts. The study's findings may have implications for ways to increase user resistance to misinformation.
Researchers have discovered a way to use heat signals to process data in energy-efficient computers. The team's approach uses non-conductive magnetic strips and metal spacers to conduct and amplify heat signals, enabling logical computing operations and heat diodes.
A study conducted at Carnegie Mellon University suggests that combining human curation with automated recommender technology can improve user engagement in online news outlets. The research found that algorithmic recommendations outperformed human-curated choices on average, but the human editor did better under certain conditions.
Researchers at ETH Zurich developed an autonomous excavator called HEAP to construct a 6-meter-high and 65-meter-long dry-stone wall. The excavator uses sensors, machine vision, and algorithms to place stones in the desired location, achieving a high level of precision and speed.
Researchers adapted a COVID-19 collaboration to monitor near-real-time trends in substance use-related hospital and emergency department visits. Detailed data shows large increases in methamphetamine- and opioid-involved hospital and ED visits among Native American, Black, and multiple-race populations.
A study published in JMIR Medical Education found that GPT-4 can accurately diagnose and triage health conditions comparable to board-certified physicians. The model's performance does not vary by patient race or ethnicity, providing a promising tool for healthcare systems.
The Ukraine War is a turning point in modern warfare, as new technologies like AI, drones, and cyberweapons are being used to devastating effect. Researchers like Jordan Richard Schoenherr warn that our understanding of warfare is outdated, and we need to rethink the role of sociotechnical systems in strategic thinking.
Researchers found that green spaces alleviate extreme heat's negative impacts on human health, while densely packed buildings increase mortality risk. Urban design strategies incorporating different types of greenery are recommended to mitigate heatwave-associated mortality.
Scientists create a low-cost, room-temperature single-photon light source by doping optical fibers with ytterbium ions, paving the way for affordable quantum technologies. The innovation overcomes cooling system limitations, enabling applications in true random number generation, quantum communication and high-resolution image analysis.
A new monitoring system uses radio waves to track changes in a room's nuclear weapons stockpile, providing a secure way to verify compliance with disarmament treaties. The system combines cyber-physical security assessments with cross-system physics to enable new levels of trust in the Internet of Things.
Researchers develop integrated photonic-electronic hardware capable of processing three-dimensional (3D) data, doubling parallelism for AI tasks and significantly boosting energy efficiency. The new chip can process 100 electrocardiogram signals simultaneously with high accuracy, outperforming electronic processors.
A study of 33 physicians across 17 specialties found that chatbots provided largely accurate information to diverse medical queries. However, the chatbots had important limitations that require further research and model development.
A recent study published in Journal of Advertising sheds light on the effects of in-stream video advertising on ad information encoding. The research found that mid-roll ads elicit negative emotions but do not affect viewers' purchase intention. In contrast, pre- and post-roll ads have a significant impact on memory formation, highligh...
A new system using satellite data improves crop area and yield estimates, providing critical information for food security and sustainability planning. The WorldCereal project offers a cloud-based platform with diverse operational models to cater to various user communities.
A study published in Science Advances found that exposure to harmful content on YouTube is driven by a small group of users subscribing to these channels, not algorithmic recommendations. Most viewers of these channels are also subscribers to the channel in question or similar ones, indicating a pattern of seeking out content.
Researchers from Korea Maritime and Ocean University developed a new framework for solving the energy efficiency problem in IIoTs. The proposed SWIPT-NOMA-DAS system is five times more energy efficient than existing systems, with significant improvements in performance and battery life extension.
A recent study found that ChatGPT scored 9/10 in accuracy for debunking Covid-19 vaccine myths, making it a reliable source of non-technical information. The AI tool's responses were accurate in addressing both true and false contraindications, but highlighted potential concerns over changes in answers over time.
A new study at BESSY II analyzed the formation of skyrmions in ferrimagnetic thin films of dysprosium and cobalt. The researchers directly observed Néel-type skyrmions using scanning transmission X-ray microscopy, revealing their domain wall type for the first time.
A new study from the University of Notre Dame reveals that investing in specific types of IT can help firms manage their working capital more efficiently. The research shows that IT infrastructure investments have a stronger impact on improving working capital-firm performance relationships than IT labor investments.
Researchers developed an AI tool called DECIMER that can translate chemical structural formulae into machine-readable codes. This allows for the automatic search and processing of scientific articles containing chemical information.
Researchers develop adaptive fuzzy sliding mode controller to estimate unknown parameters and control nonlinear PAMs, showing improved tracking accuracy and adaptability compared to traditional methods.
The University of Missouri is using a $1 million grant to develop an Industry 4.0 lab, providing engineering students with hands-on learning experiences in the latest industrial revolution's technology-centered job market. The lab will integrate skills at a higher level and keep students at the state-of-the-art level for industry.
The University of Texas at El Paso researchers Laura Alvarez and Deepak K. Tosh have been awarded $550,000 and $492,000 NSF CAREER grants for their research on river landscapes and cyber resiliency.
A new complex-domain neural network enhances large-scale coherent imaging by exploiting latent coupling information between amplitude and phase components. The technique reduces exposure time and data volume significantly while maintaining high-quality reconstructions.
Researchers at Monash University developed a co-training AI algorithm that can effectively mimic human oversight in medical imaging. The algorithm achieved an average improvement of 3% compared to state-of-the-art approaches using limited annotated data, enabling AI models to make more informed decisions and uncover accurate diagnoses.
A study by Rensselaer Polytechnic Institute found that IT peers may deter business students from entering the field. However, women without IT experience are more likely to receive positive messages and pursue careers in IT. Firms should consider the potential negative impact of peer advice when recruiting and developing IT talent.
A new study by MIT researchers finds that China's government uses AI-driven facial recognition to suppress dissent, but this approach also spurs the development of better AI tools and other innovative technologies. The study suggests that this 'AI-tocracy' cycle entrenches the regime while stimulating further innovation.
Lero is recruiting 16 top international post-doctoral researchers for a €2.9 million fellowship program focusing on privacy, trust, inclusion and fairness in software expertise. The program will provide discipline-specific skills training and enhance career development.
The NEHO project aims to create ultrafast and energy-efficient information processing systems using photonics and semiconductor technology. By leveraging nonlinear photon-plasmon interactions, researchers hope to revolutionize information processing with faster, more efficient, and flexible technologies.
A group of educators is urging caution when using artificial intelligence (AI) in special education, highlighting its potential to benefit students with disabilities. The authors emphasize the need for careful consideration of AI's uses and limitations, including information literacy, consent, and critical thinking.
A novel technique has been proposed to enhance the learning ability of robots performing repetitive tasks by using a fractional power update rule. The study demonstrates fast convergence rates and potential applications in industries such as autonomous vehicles and rehabilitation robots.
A nationwide VR research project is working to create diverse groups of participants to reflect real-world social dynamics. The Virtual Experience Research Accelerator (VERA) aims to provide researchers with access to large, reliable, and diverse groups for various VR research projects.
Researchers investigate the potential of ChatGPT in clinical radiology, highlighting its positive considerations, such as enhancing patient care and radiologist education, as well as negative concerns, like accuracy and transparency issues. The paper aims to initiate an engaging discussion on the use of AI-powered chatbots in this field.
A new AI framework developed by Danish researchers significantly improves the accuracy of early stroke identification by human emergency call handlers. The study found that the AI framework achieved a recall of 63.0% and precision of 24.9%, compared to 52.7% and 17.1% for human handlers, respectively.
Researchers propose a four-step process for guiding the use of ChatGPT in education, identifying desired outcomes, determining automation levels, ensuring ethical considerations, and evaluating effectiveness. The study finds that ChatGPT can improve teaching models, assessment systems, and student learning experiences.
This book provides a comprehensive guide to navigating the challenges of entrepreneurship, offering insights from a multi-year research project. It shares lessons and strategies for identifying business opportunities, executing ideas, and adapting to environmental changes.
A study presented at Digestive Disease Week found that nearly 40% of TikTok posts about liver disease contain false or misleading information. Inaccurate claims often push fad diets, detox drinks, and herbal remedies as cures, with little engagement compared to accurate posts.
Researchers found that using positive trigger words can retrain large language models and result in less biased responses. The team analyzed GPT-2's responses to user prompts about different countries worldwide and found a significant impact on the types of adjectives used to describe citizens.
A recent research project led by Myeong Lee at George Mason University seeks to address the difficulties people with disabilities face when accessing vital services. The study's findings will provide suggestions for enhancing the state's information systems, making them more accessible and improving overall well-being and health outcomes.
A Rutgers study found that Google search autocompletes in Spanish yielded more fear- and stress-inducing terms than English equivalents, influencing health behaviors. The research highlights the need for technology companies to ensure consistent search suggestions across languages to improve health outcomes.
A study by Pohang University of Science & Technology (POSTECH) analyzed water pollution complaints in Alabama and found a significant decrease during the COVID-19 pandemic. The research team used AI methodologies to examine sentiment changes and correlations with climatic extremes.
A study at Kyoto University has demonstrated the computational power of ecological networks, providing a new direction for rapidly developing AI technologies. The researchers developed two types of ecological reservoir computing that efficiently process information and can be utilized as a computational resource.
Users appreciate automation's ability to learn personal preferences, reducing tedious tasks. However, they also desire user control and consent for system engagement, leading to a delicate balance of interactivity and automation.
Researchers at Argonne National Laboratory have discovered ultrasmall swirling magnetic vortices, known as merons and skyrmions, in an iron-containing material. These tiny magnetic structures show promise for future computer memory storage and high-efficiency microelectronics due to their stability and adaptability to binary code.
Researchers developed a robust multiagent trajectory-planner that enables drones to generate collision-free trajectories even with delayed communications. The system achieved a 100% success rate in simulations and flight experiments, guaranteeing safe group operations.
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.