Articles tagged with Computers
A €16 million project, PhotonQ, is developing a photonic quantum processor to process qubits and reduce error rates. The processor will enable rapid scaling to relevant qubit numbers for practical applications.
A study by Michigan Medicine reveals that 25% of young American men experience both delivering and receiving technology-facilitated abuse. Healthcare providers should consider addressing this issue, as men who have mental health care visits are more likely to be involved in abusive relationships.
Cornell researchers have successfully trained various physical systems, including mechanical, optical, and electrical systems, to perform machine learning tasks. The developed training algorithm enables diverse systems to be chained together for efficient processing.
Researchers at the University of Bristol have reduced simulation time for an optical quantum computer from 600 million years to just a few months, achieving a one-billion-fold speedup. This breakthrough paves the way for future studies on quantum advantage and computational power.
Researchers at OHSU are developing a new approach to scientific imaging to study the dynamic organization of cells by examining how tiny molecules make cells work. The W. M. Keck Foundation has awarded $1 million to develop a one-of-a-kind imaging and computational system.
Researchers developed an AI system that can analyze retinal scans to identify patients at high risk of a heart attack over the next year. The system uses deep learning techniques and achieves an accuracy of 70-80%, revolutionizing the way patients are screened for signs of heart disease.
A team of NTU Singapore scientists has developed a predictive computer programme using wearable technology data to detect depression risk. The programme, Ycogni model, achieves an accuracy of 80% in detecting individuals at high or low risk of depression.
A new approach uses reinforcement learning algorithm to help robotic knee mimic intact human knee in walking, achieving 100% success rate on even ground. The technology also adapts to uneven terrain and changes in walking pace, promising a more comfortable experience for prosthetic users.
Researchers developed a novel robotic replica of a human spine with an artificial disc implant and soft magnetic sensor array. The system can classify five different postures of the spine with 100% accuracy, providing physiologically relevant data before invasive surgeries.
Researchers have created a compact and affordable device for recording brain activity, offering research-grade signal quality and customizable configuration. The device has the potential to help people with epilepsy detect impending seizures and those with limited mobility regain control over their limbs.
A study by the University of Texas at Austin found that software development teams given greater autonomy are more productive and have higher customer satisfaction rates. The researchers tested 461 projects over 50 months and found a 39% increase in value added for autonomous teams compared to traditional teams.
The University of Surrey researchers have developed a method to generate up to 3.1% biaxial strain and 8.5% uniaxial strain in single-crystal silicon using ion implantation, which could lead to the development of germanium lasers and near-infrared sensors for smartphones.
A team of researchers has developed a new technique to embed single atoms in silicon wafers, mirroring methods used to build conventional devices. The technique creates large-scale patterns of controlled atoms that can be manipulated and read out, enabling the construction of large-scale quantum devices.
Researchers discovered a new method to control spin-lattice interaction with ultrashort terahertz pulses, potentially revolutionizing ultrafast data processing and storage. This breakthrough could address the growing energy demands of data storage centers.
Researchers developed a new hand gesture recognition algorithm that surpasses current methods in accuracy, complexity, and applicability. The algorithm combines adaptive hand type classification and a shortcut feature for efficient real-time recognition.
The University of Texas at El Paso has received a $4 million grant from the National Science Foundation and Department of Homeland Security to support highly qualified computer science students. The program aims to enhance the regional and national cybersecurity workforce with an emphasis on Hispanic and female students.
Scientists at Sandia National Labs invent a new yardstick for benchmarking performance of quantum computers. The mirror-circuit method is faster and more accurate than conventional tests, revealing the true potential and limitations of quantum processors.
A Curtin University study found that mobile devices helped families strengthen relationships and bond over online activities, such as video calls and games. However, some participants reported devices as a source of distraction, disrupting family interactions.
Researchers developed an algorithm to differentiate life-threatening gunshot events from non-life-threatening plastic bag explosion events. The study found that 75% of plastic bag pop sounds were misclassified as gunshot sounds, highlighting the need for a diverse dataset of similar sounds.
Researchers at Trinity College Dublin have developed mathematical equations explaining how individual randomness can give rise to synchronisation, applicable to systems like clocks, fireflies and metronomes. The findings provide a basis for new types of computer technology using light signals.
A new study by the University of Plymouth has demonstrated the potential of gait authentication to protect smartphones from cyber crime. The system achieved an average accuracy rate of around 85% in recognizing individuals' stride patterns, with rates rising to almost 90% when participants were walking normally and fast.
A new AI algorithm, APOLLO, accurately predicts microprocessor power consumption by analyzing just 100 signals out of millions, offering potential to improve efficiency and develop new processors. The technique has been validated on high-performance microprocessors and could help designers inform future chip design.
A recent study used computer vision algorithms to analyze nearly 9,400 Flickr photos taken along Colorado's Front Range, identifying preferred outdoor landscapes with moderate accuracy. The algorithm performed well for images of water, structures, and agricultural lands, but struggled with forests. Combining social media data with on-s...
Researchers at University of Helsinki have developed a new method to speed up calculations on quantum computers, reducing the number of measurements required and increasing efficiency. This breakthrough could lead to faster and more sustainable quantum computing.
A team of researchers, including those from Rensselaer Polytechnic Institute and the University of Washington, have developed a neural network that can predict protein shapes with high accuracy. The network was trained on random protein sequences and generated 2,000 new proteins, many of which were successfully produced in the lab.
A recent study by the University of Cincinnati found that tweens spent more time using media during the 2020 pandemic summer, highlighting the need to reassess notions of 'too much' screen time. The research suggests that media use can have both positive and negative effects on children's lives, with some finding connection with peers ...
Researchers at the University of Gothenburg have successfully combined a memory function with a calculation function in the same component, enabling more efficient technologies like mobile phones and self-driving cars. The discovery opens the way for brain-like computers that can perform tasks effectively and energy efficiently.
Researchers developed an algorithm predicting COVID-19 patient outcomes based on individual data, achieving high accuracy (over 90%) for up to ten days. This innovation enables hospitals to allocate staff and resources efficiently, potentially saving lives during future pandemic waves.
A new 'image analysis pipeline' called TDAExplore gives scientists rapid insight into how cells are changed by disease, using a combination of microscopy, topology, and artificial intelligence. This approach can provide objective information on cell changes, such as the movement of proteins like actin, even with limited training data.
The WVU-led Dolly Sods GPU cluster enables researchers to accelerate computational research in fields like drug development, interstellar phenomena, and biometrics. The cluster will facilitate the analysis of massive datasets and enable real-time processing of signals from satellites in space.
Researchers developed EDS-HAT, an AI-powered system combining machine learning and whole genome sequencing to detect clusters of similar infections in real-time. The system identified 99 clusters of infections and prevented potential transmissions in 65.7% of cases, saving the hospital $692,500.
Researchers from Okayama University developed an AI-powered image classifier to simplify and speed up the task of image analysis in cell biology. The system achieved high detection accuracy for mitotic cells in plant species, demonstrating its potential for non-experts to use.
A team of researchers has developed a simple and efficient method of quantum encryption using single photons, which can detect any attempt to hack the message. The breakthrough brings us closer to securing our data against quantum computers' potential attacks.
Researchers at Penn State created a nanocomputing agent that controls protein function involved in cell movement and cancer metastasis. The logic gate, embedded in the focal adhesion kinase (FAK) protein, demonstrates ability to control conditional operations, introducing possibilities for precision therapeutics.
Researchers trained an artificial intelligence algorithm to predict the next designer drugs before they are even on the market, allowing law enforcement agencies to identify and regulate new versions of dangerous psychoactive drugs. The model was tested against 196 new designer drugs and found nearly all were present in its generated set.
A team of Canadian researchers has successfully simulated baryons on a quantum computer, marking an important step towards more complex simulations. This breakthrough enables scientists to study neutron stars, the earliest moments of the universe, and the revolutionary potential of quantum computers.
Researchers developed AfriBERTa, a neural network model that achieves state-of-the-art results for low-resource African languages. The model works with 11 languages spoken by over 400 million people and requires only one gigabyte of data, compared to thousands for existing models.
A team of computer scientists has developed a secure identity verification method based on zero-knowledge proof, ensuring that information cannot be replicated by hackers. The new method uses two physically separated prover-verifier pairs to confirm identities, eliminating the possibility of collusion and increasing security.
A new study at the University of Missouri found that telehealth reduced stress for nursing home residents while increasing access to convenient care. However, it also removed socialization opportunities and created confusion for residents with cognitive difficulties.
Researchers used computer simulations to predict the presence of hydroxyl radicals, which clean pollutants from the atmosphere. The study showed that traditional models had widely varying forecasts due to uncertainties in gas emissions, and that better models can aid in combating climate change.
A new rapid screening test for glaucoma uses infra-red sensors to monitor eye movement, providing accurate results within seconds. The test could help advance early detection of the disease, a leading cause of irreversible blindness, and make it more accessible for national screening programs.
Researchers developed carbon nanotube-based transistors that can maintain electrical properties and memory after being exposed to high levels of cosmic radiation. The transistors, especially double-shielded ones, showed promising results for future space exploration.
Research finds that online dating app tailoring affects users' perceptions of recommended partners. Users who provide information about their partner preferences tend to identify more date-worthy partners, while those without experience benefit from customizing their preferences.
A new AI-based computer algorithm created by Mount Sinai researchers can identify subtle changes in electrocardiograms to predict heart failure. The algorithm was 94% accurate at predicting healthy ejection fractions and 87% accurate at detecting weakened hearts, offering a promising alternative to traditional diagnosis methods.
A study from Lancaster University found that a serious game, 'Point of Contact', increased players' awareness of Covid-19 transmission risk and favorability towards health over livelihood. The game's impact was significant, with 87% of participants saying they would be more careful in following Covid-19 preventative guidance.
Researchers at Skoltech extend the adiabatic theorem to finite temperatures, ensuring more stable quantum dynamics. The findings have significant implications for next-generation quantum devices and computing.
Researchers at Arizona State University have refined cryogenic electron microscopy to produce more accurate structures of biological samples. The new method uses a statistical approach to model transitory structures, which can play a vital role in biological processes.
A new study published in The Lancet Digital Health found a link between screen time and myopia in children and young adults. High levels of smart device exposure increased the risk of short-sightedness by up to 80%, according to researchers at Anglia Ruskin University.
Researchers propose a solution using tethered unmanned aerial vehicles (TUAVs) to receive signals while minimizing uplink exposure. The system uses low-power 'green antennas' that only receive signals and do not radiate EMF, offering increased data transfer speeds.
A team of researchers at Bristol's Quantum Engineering and Technology Labs has developed a silicon photonic chip that can protect quantum bits from errors using photons. This breakthrough could lead to the creation of more powerful quantum computers by reducing the fragility of qubits.
Researchers have developed ultra-thin, defect-free superconducting flakes for use in quantum computing. The twist angle of the flakes is used to modulate the maximum supercurrent, creating an extremely sensitive magnetic field sensor. This breakthrough has potential applications in healthcare and mineral exploration.
Researchers develop a new method to perform logic operations more efficiently and reliably using magnonics. Nanostructured antiferromagnetic wires are well-suited for this purpose, enabling quick and low-energy computation.
Researchers designed novel molecules that bound tightly to SARS-CoV-2's molecular scissors, inhibiting the virus's replication. The breakthrough could lead to new treatments for COVID-19.
A team of researchers at Aarhus University aims to develop an optical sensor using terahertz light to decode the direction of tiny magnetic 'tornadoes' called skyrmions. Skyrmions offer a promising candidate for future bits in computer technology, requiring less power and generating less heat than current methods.
Researchers at MIT and Institut Pasteur have created an efficient method for assembling entire genomes, including the human genome, in minutes using personal computers. This approach uses minimizer-space de Bruijn graphs to store only a small fraction of nucleotides while preserving overall genome structure, enabling faster processing ...
Researchers from UTHealth and Baylor College of Medicine recommend that EHR developers annually assess their products to ensure safety recommendations are met. The authors suggest three strategies to complement the new CMS rules, aiming to distribute responsibility for safety improvements evenly between designers, developers, and users.
The RIT workshop series on sustainable computing aims to create computers with environmental consciousness from raw materials to recycling. Keynote speakers will discuss trends in computing and its environmental footprint.
A newly improved robotic cane, funded by NIH/National Eye Institute, uses a color 3D camera, inertial measurement sensor, and onboard computer to guide users to desired locations while avoiding obstacles. The device can provide accurate navigation assistance in large spaces with sensory and auditory cues.
A new algorithm, Phe2vec, accurately identified patients with certain diseases, outperforming traditional methods in classifying diagnoses. The study suggests that this automation will facilitate further research in clinical informatics.
Scientists created a reliable true random number generator using atomically thin two-dimensional films, overcoming long-term stability issues and power consumption concerns. The innovation uses memristors to produce fluctuating electronic signals with an exceptionally high degree of randomness.