Articles tagged with Information Technology
A new method has improved AI translation of sign language by adding data on hand and facial expressions, as well as skeletal information. This has led to a significant increase in accuracy, making it easier for people with hearing impairments to communicate.
Researchers studied red-teaming of LLMs, discovering 35 methods to evaluate their capabilities. The study provides insights into the limitations and potential vulnerabilities of these models.
A new study by Binghamton University researchers offers a promising solution for improving teamwork between IT and business staff. By focusing on the role of the chief information officer (CIO), boosting collaboration and understanding between IT and business teams can lead to more effective alignment of IT with overall business object...
Researchers from Pohang University of Science & Technology confirm the existence of hidden transport pathways in graphene, which enables faster and more efficient data handling. The study sheds light on the 'Valley Hall Effect' and its role in nonlocal resistance, providing crucial insights for advancing valleytronics device design.
A new book by Anita Say Chan connects the eugenics movement to Big Tech's predatory data collection methods, targeting minoritized populations for profit. The book shares lessons from global justice-based data initiatives and earlier feminist and minority movements who resisted eugenic models.
Researchers at Seoul National University propose PV2DOC, a software that converts presentation videos into searchable, well-organized PDFs with text summaries and relevant images. The tool enhances video accessibility and reduces storage space, making it easier for users to find specific information.
A new technique for detecting long wave infrared photons of different wavelengths has been developed by UCF researchers. This method, based on a nanopatterned graphene, offers dynamic spectral tunability and ultrafast response times, surpassing existing cooled and uncooled detectors.
Researchers from Linköping University confirmed a direct connection between quantum theory and information theory, revealing the degree of unknown information in a quantum system. The study used a new experimental setup to demonstrate the equivalence of entropic uncertainty with wave-particle duality.
The BioImage.IO Chatbot uses extensive language models and Retrieval-Augmented Generation (RAG) to provide real-time access to databases and minimize errors. It enables researchers to perform complex image analysis tasks in a simple manner, working directly with microscopes and laboratory equipment.
Researchers developed a new authentication technology that uses Ge2Sb2Te5 thin films to encode covert information, which can be revealed using a simple reading device. The technology has potential applications in various industries and shows promise for widespread use.
Researchers at CAMERA have developed an open-source markerless motion capture system using computer vision and deep learning methods. The system estimates joint positions from regular 2D image data, providing unobtrusive analysis of body movements.
Bentham Science journals Central Nervous System Agents in Medicinal Chemistry and CNS & Neurological Disorders – Drug Targets accepted for PsycInfo database indexing, enhancing global visibility of research. PsycInfo provides extensive coverage of behavioral and social sciences, making this move a significant step forward.
The GROW-THz initiative aims to develop next-generation ultra-high-speed communication technologies centered around the 300 GHz terahertz band, addressing growing demand for data communication. The project prioritizes fostering global collaboration and intellectual mobility among young researchers and graduate students.
Experts from UTHealth Houston and Baylor College of Medicine developed a pragmatic approach to monitor and manage AI systems in healthcare organizations. The guidance emphasizes the need for robust governance systems, testing processes, and transparency with patients to ensure safe AI adoption.
A study found that ChatGPT provides higher fatality numbers when asked in Arabic compared to questions in Hebrew, highlighting the impact of user language on information dissemination. The researchers believe this has profound social implications, as it can shape perceptions of conflict and fuel biases.
The São Paulo Advanced School on Disordered Systems will bring together students and researchers in complexity, bio-inspired applications, information science, and quantum materials. The school, supported by FAPESP, aims to establish a common forum for learning and discussing theories of general interest.
A study found that police radio transmissions disproportionately involve Black suspects, posing a higher privacy risk for Black people. The researchers analyzed 24 hours of human-transcribed communications and found that Black males were mentioned most often, even in majority white zones.
A new book by Dr Merten Reglitz proposes a human right to free internet access, including protections against government censorship and surveillance. The research argues that governments should provide guaranteed access to the internet with sufficient quality to meet basic human rights needs.
Researchers at Aalto University have developed a method to create tiny vortices in light, which can carry information and potentially increase data transmission capacity by 8-16 times. The discovery uses quasicrystal design and manipulated metallic nanoparticles to achieve this feat.
Researchers developed wide-incident-angle radio-wave absorbers for mmW and THz frequencies, enhancing antenna beamforming and steering. The absorbers achieve high-performance absorption across broad bandwidths, supporting integration with advanced antenna technologies.
A recent study found that the pandemic led to a significant shift towards staying at home, with people spending nearly an hour less per day on out-of-home activities. The trend has continued post-pandemic, with time spent away from home still lower than in 2019.
A new study found that embedding a customizable digital pet game within a popular smoking cessation app increased user engagement and direct use of the app's smoking cessation tools. Overall engagement with the app increased by 20 percent, and direct use of the tool increased by 30 percent among participants who had access to the game.
Researchers at UCLA developed a new type of imaging technology that forms images in only one direction, enabling efficient and compact methods for asymmetric visual information processing and communication. The technology works exceptionally well under partially coherent light, achieving high-quality imaging with high power efficiency.
Researchers developed a new memristive device capable of self-compliance, multilevel operation, and crossbar array formation for neural networks. The device demonstrated consistent switching characteristics and reliable multilevel operation with low power consumption, achieving high accuracy in image classification tasks.
Researchers successfully generate guided sound waves on a microchip using lasers, enabling interactions with the environment and paving the way for new sensing technologies. The innovative approach uses special glass to contain sound waves, making it ideal for applications in signal processing and communication technologies.
Researchers developed a novel approach to regulate temperature based on gold structure concentration, improving spin wave transfer efficiency. This innovation has promising potential for future applications using spin waves and addresses the persistent issue of heat generation in electronic devices.
Researchers developed UAV-based hyperspectral imaging to accurately assess maize recovery after lodging. The method provides detailed information on canopy height and physiological activity, enabling farmers to make data-driven decisions.
A study from Lehigh University and Seattle University found that making patients aware of biases in human healthcare decisions increases receptiveness to AI recommendations. By highlighting the limitations of human judgment, healthcare providers can create a more balanced relationship between patients and emerging technologies.
A new study from the University of Vaasa explores advanced positioning technologies, including a patented LEO satellite-based method that outperforms traditional GNSS systems in addressing location vulnerability issues. The research demonstrates significant advancements in both indoor and outdoor positioning accuracy.
Researchers discovered that video backgrounds, particularly those with motion, increase cognitive load leading to fatigue. Blurred images and nature-themed backgrounds were found to be less tiring than static images or office settings.
Scientists from Brookhaven National Laboratory have developed a new type of qubit that can be easily manufactured without sacrificing performance. The constriction junction architecture offers a simpler alternative to traditional SIS junctions, using a thin superconducting wire instead of an insulating layer.
New research from Bayes Business School finds that launching new technologies requires strategic timing to succeed. The study identifies four timing situations that can confront marketing managers, offering a framework to develop a launch strategy leading to success.
A new study by Lancaster University highlights that women are more likely than men to experience 'digital overload' and burnout due to their greater use of digital technologies in both work and family lives. The research emphasizes the need for gender-egalitarian work-from-home arrangements and policies to address this issue.
Researchers developed motion capture wearables with integrated machine learning, combining elasticity with high computing capabilities. The devices outperformed previous iterations in handling elongation and stretching, and demonstrated accurate performance in tasks like sign-language recognition.
A study published in Future Foods found that German consumers are willing to try and buy cheese produced through precision fermentation. Emphasizing high product quality and environmental benefits increases acceptance, while concerns about traditional agriculture reduce willingness to purchase.
A novel, fast and high-quality neural text-to-speech model was successfully developed using a Transformer encoder + ConvNeXt decoder and MS-FC-HiFi-GAN. The model can synthesize one second of speech at high speed in just 0.1 seconds using a single CPU core, achieving eight times faster synthesis than conventional methods.
A groundbreaking approach inspired by bio-inspired neuromorphic imaging and speckle correlography has unveiled a revolutionary technique for optical image encryption. This method leverages computational neuromorphic imaging to encrypt images into event-stream ciphertexts, significantly enhancing security and complexity.
This study reveals the extent and causes of technology conspiracy beliefs, finding they are widespread among the general population, with at least 20% believing in six out of ten theories. The research highlights the detrimental effects of these beliefs, including a breakdown of social collaboration and constructive political debate.
Research by University of East Anglia and University of Texas found that stricter data privacy laws significantly reduced breaches, but negatively affected firms' market value. Companies compliant with GDPR invested more in data protection and were less likely to experience data breaches.
Researchers evaluated the learnability of voice-controlled smart speakers, finding users face challenges due to lack of system feedback and response errors. Despite proficiency after repeated attempts, usability issues remained unchanged.
A new mobile security program for Android is being developed at George Mason University. The program aims to equip students with knowledge and skills in Android security, fostering problem-solving capabilities and enhancing communication and teamwork skills.
PSICHIC uses sequence data and AI to decode protein-molecule interactions with state-of-the-art accuracy, eliminating costly processes like 3D structures. The tool effectively screens new drug candidates and performs selectivity profiling, offering a more efficient and reliable approach to drug discovery.
A new AI model developed by researchers at the University of Jyvåskilö can predict and respond to human emotions, improving user experience. The model simulates cognitive evaluation processes to assess emotional responses to events, enabling computers to preemptively predict and mitigate negative emotions.
A team at Pohang University of Science & Technology has developed a novel stretchable photonic device that can control light wavelengths in all directions. The device leverages structural colors produced through the interaction of light with microscopic nanostructures, allowing for vivid and diverse color displays.
A novel approach to training AI systems uses information about spatial position to identify objects and navigate surroundings, inspired by children's visual development. The method improves contrastive learning models' effectiveness by incorporating simulated spatial context information, outperforming base models in various tasks.
A team of researchers from Japan, China, and Finland created a system called generative content replacement (GCR) that uses AI to replace parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. In tests, 60% of viewers couldn't tell which images had been altered.
Researchers explore nanoparticle-based therapies to specifically target lymphatic metastasis in breast cancer, providing a promising solution for patient treatment. Nanoparticles deliver drugs directly to tumors, targeting cancer cells to destroy them or slow their growth, while also enhancing the immune response.
Two new Parnas Fellows, Prof. Hongyu Zhang and Prof. Daniela Damian, will share their expertise with researchers at Lero, enabling collaboration and knowledge sharing. The fellowship programme has brought world-class software researchers to Ireland to share their experience and expertise.
A novel therapy leverages technology and robots to enhance joint attention and imitation skills in children with autism. The RoboCA3T program showed significant improvements in these areas, indicating a potential cost-effective treatment option.
A recent study found that cinematographic techniques can significantly increase user engagement with virtual environments and improve their aesthetic appeal. The researchers developed a new teleportation method for exploring virtual environments using principles of composition and continuity, commonly used in filmmaking.
A new device uses small amounts of light to process information, offering significant energy improvements over conventional optical switches. This technology could enable quantum communications, providing a promising alternative for data security against rising cyberattacks.
A new soft multi-electrode system for electroretinography has been developed to overcome the limitations of traditional devices. The system uses a commercially available soft disposable contact lens with gold mesh electrodes, allowing for simultaneous measurement of electrical potentials from different regions of the retina. This innov...
Experts at the University of Birmingham have proposed a new approach to transport ticketing using blockchain technology and ontology. The system, called STUB, aims to provide a universal and accessible ticketing framework that can be used by multiple providers.
A study reviewed 100 US institutions with National Center of Academic Excellence in Cybersecurity designations, finding significant variation in program types, credits, and learning outcomes. The research aims to improve industry-readiness and graduate employability by highlighting areas for improvement in cybersecurity education.
A computer vision researcher has developed privacy software for surveillance videos that obscures identifiable information such as faces and clothing in real-time. The software, funded by the National Science Foundation's Accelerating Research Translation program, aims to balance surveillance needs with privacy concerns.
The position paper identifies eight key areas for digital neuroscience research, including near-term, middle-term, and long-term goals. It also discusses the potential of 'digital twin' approaches, ultra-high-resolution digital atlases, and neuro-derived AI and computing innovations.
A team of researchers has developed a novel approach using game theory to maximize Wi-Fi performance by optimizing user positions. By analyzing the incentives for all users, their potential game model condenses the impact of new users and inter-user interference into a single function.
The team created ten holograms with varying colors and shapes using an inverse design technique driven by artificial intelligence. They integrated an oblique helicoidal cholesterics-based wavelength modulator to accurately implement the designed holograms, enabling the establishment of an optical security system.
Researchers found that autocratic regimes have a higher degree of control over transit networks, enabling state-led monitoring and control of internet traffic. This is achieved through state-owned entities dominating transit networks in poorer but politically similar countries.
Researchers developed novel optimal and robust-optimal controllers for the FDS model, achieving six-fold reduction in settling time and improved stability. The robust-optimal controller performed better than the optimal controller in simulations with noise, demonstrating its adaptability.