Articles tagged with Computers
Defect-free boron arsenide has a record-high thermal conductivity, drawing heat away from hotspots much faster than current materials. This breakthrough could improve performance and reduce energy demand in various electronic devices.
Linköping University researchers have developed a method to simulate the heart's function using CT scan data, which may revolutionize cardiovascular disease diagnosis. This technique allows for quick and easy investigations, enabling the study of blood flow in individual patients.
A research team has developed a new sketch-based editing framework called FaceShop that uses machine-learning techniques to enable users to edit their photos by 'sketching' a few strokes on top of them. The system allows untrained users to perform complex edits within minutes using an intuitive interface.
A UNLV study reveals that iPad neck pain is a growing problem among Americans, particularly young adults and women. The study found that postures such as sitting without back support and using tablets while lying on the side or back significantly contribute to the condition.
A team of researchers from the Santa Fe Institute has published a paper on the thermodynamics of computation, which involves elements of statistical physics, computer science, cellular biology, and neurobiology. The study aims to understand how computers process information and reduce energy waste by optimizing computational processes.
A new approach in VR redirected walking leverages eye blinks to provide users with a realistic perception of infinite space. The technique, developed by computer scientists, involves redirecting the user's viewpoint during natural instances of eye blinking, without undetectable camera movements.
A University of Maryland study found that people remember information better when presented in virtual reality compared to traditional desktop computers. The researchers used a memory palace method and found an 8.8% improvement in recall accuracy using VR headsets.
A computer program developed at the University of Bonn can accurately predict future actions by learning typical sequences from video sequences. The algorithm achieved an accuracy rate of over 40% for short forecast periods and was tested on new videos with promising results.
Researchers have developed Autofocals, a system that automatically corrects presbyopia by mimicking the natural accommodation response of the eye. Users experienced better visual acuity at nearer distances compared to monovision and progressive lenses methods.
Researchers have developed a novel audio-visual model that can isolate and enhance speech in videos, even in challenging real-world scenarios. The model uses both visual cues, such as lip movements, and auditory signals to focus on the speaker's voice and improve speech quality.
A Rutgers-led team has developed a new material that conducts electricity without energy loss, paving the way for low-power electronics and potentially faster quantum computing. The material, which combines magnetic and insulator properties, can be used for electronic interconnections within silicon chips.
Scientists at Hokkaido University have developed a theoretical approach to quantum computing that uses light squeezing to dramatically reduce errors. This new method is ten billion times more tolerant of errors than current experimental methods, bringing us closer to developing ultra-accurate quantum computers.
A NIST study reveals that facial recognition experts achieve maximum accuracy when working with artificial intelligence, rather than another human. Trained professionals outperformed untrained control groups and algorithms performed comparable to top-performers.
Researchers have predicted a new type of dibaryon, called di-Omega, composed of six quarks, using advanced simulations on the K computer. The prediction could help scientists understand extreme environments and interactions among elementary particles.
Researchers developed a new display technology that uses crystalline silicon film growth at lower temperatures, potentially replacing existing processes. This innovation has the potential to increase efficiency and luminance while lowering production costs for electronic devices like solar cells.
Mark Owkes, an assistant professor of mechanical engineering at Montana State University, has earned the National Science Foundation's CAREER award for his research on complex liquid-gas interactions. His goal is to create more accurate and faster simulations to help engineers design better technologies.
Researchers have created a new superconductor with a critical temperature over 6 Kelvin, which could enable the development of ultrafast and powerful computers. The electroplated rhenium material is non-toxic, easy to work with mechanically, and melts at high temperatures.
Bento browser eliminates 'tab overload' by storing each search session as a project workspace, keeping track of relevant parts of visited web pages. Users can identify useful pages, trash unhelpful ones, and pick up where they left off later.
Artificial antimicrobial peptides, developed by researchers using a computer algorithm, have shown promise in combating drug-resistant bacteria. The most promising candidate, guavanin 2, has been found to be more potent than naturally occurring peptides and effective against Gram-negative bacteria.
A PhD student at The University of Manchester has developed a new method and software for using computer game technology to simulate complex scientific and engineering applications. Using powerful graphics cards, he can run large-scale simulations over 100 times faster than conventional computers, reducing costs from hundreds of thousa...
Wiseman and Grinberg propose a system to evaluate collision potential and choose the least harmful course of action for autonomous vehicles. The system uses Spatial Data Structures and Bounding Volumes to analyze possible crashes and decide on the most destructive option.
Researchers found that the efficiency of information processing cannot be increased indefinitely, with thermodynamic and information theory combining to identify key factors. Better understanding and tailored software can influence the limit.
Researchers at UC Berkeley have developed a method using deep reinforcement learning to create realistic computer animations. The system, dubbed DeepMimic, can simulate various skills, including acrobatic feats like break dancing and martial arts, and respond naturally to changes in the environment.
Researchers found that fast typists use a combination of techniques, such as rollover typing and parallel hand movement, to achieve high speeds. This approach allows for efficient keypresses and minimizes errors. The study provides insights into modern typing habits and suggests simple exercises to improve typing technique.
A team of researchers from the University of Münster has developed a new computer method that enables chemists to plan syntheses with unprecedented efficiency. The method uses deep neural networks and Monte Carlo Tree Search, allowing computers to learn the rules and applications of chemical reactions from literature.
A recent study suggests that information security managers can motivate employees to act more securely by providing relatable messages and offering options. Employees may not realize they're putting company data at risk, but giving them choices can encourage better behavior.
UC Berkeley engineers create a millimeter-wide, transparent light-emitting device using monolayer semiconductors. The device can emit bright light when turned on and become see-through when turned off, opening possibilities for invisible displays.
A groundbreaking study found that people can correctly identify others' feelings up to 75% of the time by analyzing subtle changes in blood flow color around the nose, eyebrows, cheeks, or chin. Computer algorithms developed from the research accurately recognize human emotion via face color with up to 90% accuracy.
A new study by UTSA researchers presents a method to stop cyber attacks on GPS-enabled devices, including electrical grids and driverless cars. The algorithm can recognize false GPS signals and counter an attack in real-time, making it crucial for securing GPS signals used in various technologies.
Researchers at Lund University developed a new method to recode neural signals into computer language, enabling simultaneous communication with millions of nerve cells and analysis within milliseconds. This innovation has significant implications for brain research, clinical diagnosis, and treatment.
Researchers at the University of Bradford have developed an AI system that can automatically assign gender based on a smile. The system uses dynamic movement analysis to distinguish between men and women, finding that women's smiles are more expansive than men's.
TU Wien and UC Irvine's chip management method improves GPU performance by slowing down the aging process in more than 95% of cases. The technique distributes tasks among cores to minimize physical stress, increasing overall system speed.
A new study from Abertay University found that women with heavy makeup are viewed less favorably as leaders. Researchers used computer software to manipulate images of a woman's face, revealing that both men and women evaluated her more negatively in leadership roles when she wore more makeup.
The UTSA researchers have created a cloud-based learning platform for artificial intelligence that aims to teach machines to learn like humans. This platform can help AI agents automatically detect threats in network traffic and improve their performance in discovering and thwarting new attacks.
Researchers used deep learning to analyze patterns of taxi demand and predict demand significantly better than current technology. This approach could help lessen idle time for taxis, making cities cleaner and improving safety in congested areas.
Researchers developed machine learning software that allows computers to learn the quantum state of complex systems based on experimental observations. This approach enables faster tomography for quantum states and has implications for testing quantum computers with many qubits.
A new AI platform can diagnose two common retinal diseases and rate their severity with over 95% accuracy, as well as distinguish between viral and bacterial pneumonia. This technology has the potential to improve patient outcomes and increase access to care in remote areas.
Researchers identified a specific brain signal associated with speech understanding, which disappears when listeners don't understand or aren't paying attention. This discovery has potential applications in tracking language development, assessing brain function, and detecting early onset of dementia.
A study published in Computers in Human Behavior found no significant changes in testosterone levels among UNLV's esports players during gameplay. The research suggests that familiar environments and competition may not elicit the same hormonal responses as unfamiliar situations and large audiences.
A new study found that autonomous vehicles can minimize environmental impacts with energy-efficient design and operational benefits outweighing increased energy use from sensors and computers. The study showed a 40% reduction in greenhouse gas emissions for electric powertrains versus internal-combustion engines.
Portland State University is part of a research center developing brain-inspired computing to enable computers to perform uniquely human tasks. The Center for Brain-inspired Computing Enabling Autonomous Intelligence aims to improve pattern and image recognition for intelligent autonomous systems.
A new study at D'Or Institute for Research and Education uses Magnetic Resonance machine to read participants' minds and identify the song they're listening to. The computer achieves 85% accuracy in identifying the correct song, paving the way for future research on brain decoding and communication.
Researchers at Penn Engineering have developed an optical switch that can mimic the behavior of electronic transistors, enabling efficient signal processing and computation. The breakthrough, achieved by precisely controlling light waves using tailored electric fields, could lead to significant advances in photonic computing.
A new study found that teams with a wider variety of technological tools, even if their expertise was moderate or common, produced more creatively successful films. In contrast, teams limited to primary animation tools produced less creative work.
Researchers developed a one-step process to enable peak BCI performance within three minutes, allowing users to control computer cursors just by imagining movement. The new approach streamlines calibration and reduces expert intervention, bringing the system closer to clinical availability.
The NYC Health Department has identified 10 outbreaks of foodborne illness through a computer system developed with Columbia University, tracking keywords in Yelp reviews to detect incidents. The system helps identify approximately 1,500 complaints annually, improving outbreak detection and prevention.
Research suggests that anthropomorphic virtual assistants can elicit concern about seeking help, particularly among individuals who believe intelligence is a fixed trait. This can lead to lower performance and incorrect answers in online learning settings.
Researchers have developed an automated bird recognition system using spectrographic analysis of bird calls and songs, improving accuracy by reducing background noise and applying pattern recognition techniques.
Researchers at Osaka University developed a technique called lexical acquisition through implicit confirmation to enable AI to learn words in the flow of dialogue. This method allows computers to acquire knowledge about unknown words during conversations with humans, making them smarter and more responsive.
Researchers from SUTD design a versatile all-electric-controlled valley filter and demonstrate a concrete working design of valleytronic logic gate. They achieve logically-reversible computation by storing information in the electron's valley state, bypassing complex circuitries.
A University of Michigan team is developing a new cybersecurity approach called MORPHEUS, which aims to create an unhackable computer by turning computer circuits into unsolvable puzzles. The technology could protect both hardware and software from attacks, making it difficult for hackers to identify vulnerabilities.
The new app, developed by Intermountain Healthcare researchers, monitors heart failure patients' medical tests and health status to promptly notify clinicians. Using the app led to significantly improved detection of disease advancements, with intervention patients' survival rates increasing.
Researchers have developed an AI application that can detect lymph node metastases in breast cancer patients with high accuracy, similar to human pathologists. This breakthrough could improve the efficiency of surgical pathology work and provide better prognostication.
A study found that most VR users don't perceive a virtual world like the real one without training. When given visual feedback, success rates doubled, highlighting the importance of teaching users to use binocular cues and head movements. The results aim to improve VR uptake by encouraging interactive experiences.
Researchers have successfully interfaced individual bacteria with a computer to build a hybrid bio-digital circuit. This setup allows for the simulation of complex biological systems, enabling the 'debugging' of such systems like complex computer codes.
A James Cook University study found nearly three quarters of office workers believe there is a negative relationship between sitting down all day and their health. The study suggests that education on the benefits of standing and buy-in from management are crucial to implementing effective behavior change strategies.
A team of computer scientists has developed a novel, compact single-shot hyperspectral imaging method that captures images using a conventional DSLR camera equipped with an ordinary refractive prism. The new method achieves quality images without compromising accuracy, making hyperspectral imaging practical for ordinary users.
Researchers at Aalto University developed a new computational method to address the challenge of computing realistic indirect illumination in real-time computer graphics. The novel method accurately computes indirect illumination using sparse radiance probes, enabling fast and accurate lighting simulations.
A new computational framework allows working with infinities and infinitesimals numerically, giving unexpected answers to two long-standing Hilbert problems. The Infinity Computer supercomputer enables numerical computations with infinite and infinitesimal numbers, previously only symbolically represented.
A new paper by physicist Stephen Jordan explores whether the universe holds solutions to difficult computational problems, such as number partitioning. The universe's background energy density is found to be close to zero, implying a stable material universe and potentially offering insights into these problems.