Articles tagged with Information Technology
The new Priority Program will focus on developing IT components utilizing altermagnetism, which combines the benefits of ferromagnets and antiferromagnets. Researchers aim to overcome current limitations and achieve a significant increase in efficiency and speed.
Researchers detect anomalous Hall effect in collinear antiferromagnets with non-Fermi liquid behavior, revealing a 'virtual magnetic field' that boosts the phenomenon. The findings open up new possibilities for information technologies and require further experimental confirmation.
Quantum Base, a Lancaster University spin-out, has successfully floated on the London Stock Exchange with a £4.8 million fundraising. The company aims to harness quantum technology to address real-world challenges through its patented Q-ID solution for anti-counterfeiting.
A recent study from UTSA researchers reveals that large language models (LLMs) can pose a serious threat to programmers who use them to help write code. The study found that up to 97% of software developers incorporate generative AI into their workflow, and 30% of code written today is AI-generated.
Researchers developed a new viscoelastic model of enzymes, elucidating the intertwined effects of elastic forces and friction forces on enzyme function. This breakthrough allows proteins to be perceived as soft robots or programmable active matter, revolutionizing our understanding of enzymatic catalysis.
A new spin-based chip has been developed, addressing hardware security issues in IoT devices by providing a strong, reliable, and reconfigurable physical unclonable function (PUF). The PUF achieves near-ideal randomness and reliability, resisting machine-learning attacks and side-channel analysis.
Researchers at Cornell University have developed an AI-powered ring that can track fingerspelling in American Sign Language (ASL) with high accuracy. The device, called SpellRing, uses micro-sonar technology to capture finger movements and predict ASL letters in real-time.
A new ontology for smart city infrastructure threats, cybercrime and digital investigation has been developed to assist digital forensic investigators. The ontology provides a consistent and structured representation of knowledge, allowing for increased efficiency and rapid remediation in future investigations.
Barto and Sutton introduced the main ideas, constructed mathematical foundations, and developed algorithms for reinforcement learning, a key approach for intelligent systems. Their work has been influential in AI research, with applications in areas like robotics, network optimization, and natural language processing.
Scientists at Tohoku University and collaborators have made a significant discovery about how magnetic twist induces one-way electric flow in a unique quantum material. By studying the material's electronic behavior, they found that the 'magnetic twist' directly triggers electronic band asymmetry, leading to nonreciprocal transport.
A mobile app developed by Tufts researchers and partnered with two Ghanaian hospitals helped patients with high blood pressure reduce their readings and improve their overall health. The app, called AHOMKA, allowed patients to track their blood pressure at home and share the data with their doctors remotely.
Researchers at New Jersey Institute of Technology are working on assistive technology that allows people with mild dementia to customize tools and objects to provide assistance. The project aims to explore the use of smart objects as assistive technologies to support individuals in their daily lives.
Researchers from Politecnico di Milano and Georgia Tech analyzed NASA's DART mission to asteroid Dimorphos, revealing a viable mechanism for ejecta evolution and understanding the impact of an asteroid's shape on deflection. The studies suggest that sending multiple smaller impactors can increase the asteroid push while reducing costs.
Researchers have created a novel self-healing electronic skin that repairs itself in seconds, surpassing existing technologies by up to 80%. This technology integrates artificial intelligence and offers real-time fatigue detection and muscle strength assessment with remarkable precision.
Researchers have developed a new form of QR code that can protect users from phishing attacks by signaling whether a link is safe or not. The SDMQR codes provide an added layer of security without interfering with existing functionality, allowing companies to replace traditional barcodes with more sophisticated QR codes.
Researchers at Johannes Gutenberg University Mainz are working on a subproject to investigate theoretical modeling and experimental realization of concepts for quantum repeaters. They aim to reduce transmission losses and generate high-quality quantum states to build secure quantum networks.
Researchers develop a new framework called MSF-Net to improve WiFi-based human activity recognition, achieving high accuracy scores compared to state-of-the-art techniques. The technology has potential applications in smart homes, rehabilitation medicine, and care for the elderly.
A new study found that fertility-tracking technology use increased in some US states after the Dobbs decision, with more women using apps for pregnancy prevention rather than planning. The study suggests a need for education on tech's reliability and implications for user data security.
Researchers at Incheon National University have developed a new AI-powered solution to improve high-speed users' connectivity in 5G and 6G networks. The method significantly reduces errors and improves data reliability by prioritizing key parameters such as angles and delays.
The University of Bath's new Institute for Digital Security and Behavior aims to put people at the heart of research into digital security and behavior. Researchers will study factors that make individuals, organizations, and societies safer and more secure.
Neuromorphic computing is poised to emerge into full-scale commercial use, driven by the need for energy-efficient solutions. The review article proposes strategies for building large-scale neuromorphic systems that can tackle complex real-world challenges.
Scientists have successfully created nanoislands on silicon that can be controlled by an external electric field. These nanoislands exhibit swirling polar textures with promise for future applications in ultra-high-density data storage and energy-efficient transistors.
The open-access book delves into the impact of AI and autonomous systems on human lives and ways of working, emphasizing their importance in prioritizing human well-being and creativity. Key learnings include the need for ethical design practices and considering AI as part of a larger system to enhance human experiences.
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 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.
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...
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 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.
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.
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.
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 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 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.
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.
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.