Research on computing hardware and its future. Covers quantum error-correction, cyber defense, novel materials, and AI frameworks.
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.
A new effort at the University of Kansas aims to design course modules to train students in building and maintaining more secure computer hardware. The work is supported by a $400,000 grant from the National Science Foundation's SaTC program.
A UC Riverside materials scientist has received a $2 million grant to improve the scalability of quantum computers, allowing them to operate at room temperature. The project aims to create design guidelines and manufacturing strategies for hybrid organic-inorganic structures that can produce quantum computers on a larger scale.
Quantum engineers at the University of New South Wales have discovered a new technique to control millions of spin qubits, a critical step towards building a practical quantum computer. This breakthrough uses a novel component called a dielectric resonator to focus microwave power and deliver uniform magnetic fields across the chip.
Researchers found that people's personality, such as extroversion, and gender affect their interaction with websites. Extroverted individuals tend to prefer interactive sites that facilitate communication between users, while men and women have different preferences when it comes to interacting with computers.
A joint research team from POSTECH and KIMS developed a faster and more accurate microstructure imaging technique using deep learning. The technique enhanced the resolution of existing microstructure images up to 4, 8, or 16 times, reducing imaging time by up to 256x compared to conventional SEM systems.
Lehigh University researcher Roberto Palmieri aims to make RDMA technology even faster by revisiting a long-held theory. His goal is to enable all machines to interact with local memory, reducing latency and improving performance.
A new $2.7 million grant from the US Department of Energy will support a three-year research effort to identify and store quantum information in solids, enabling significant advancements in quantum computing. The project aims to build a database of viable qbits by analyzing defects in solids.
Researchers at GIST develop a novel framework that achieves state-of-the-art accuracy in multi-object tracking using deep temporal appearance matching association (Deep-TAMA). The approach combines joint-inference neural networks with long-short-term-memory networks to overcome challenges such as occlusions and lighting changes.
AI is transforming various aspects of life, such as road safety with EEG-based driver state estimation techniques and automatic image captioning for indexing large datasets. It also enhances surveillance tasks with cognitive memory-augmented networks, improving accuracy and reliability.
Researchers successfully integrate a new ultrahigh thermal-management material into computer chips, reducing heat and increasing energy efficiency. The development outperforms existing materials like diamond and silicon carbide, with temperatures rising to nearly 188 degrees Fahrenheit.
A recent NC State University study found that a low-cost computer training program called Drive Aware can significantly reduce unsafe incidents among older adults. The program, which provides cognitive training to detect road hazards, was tested on 27 senior participants and showed a 25% reduction in accidents.
Researchers at Columbia University School of Engineering and Applied Science have developed a computer vision technique that enables machines to predict human behavior with higher accuracy. The algorithm leverages higher-level associations between people, animals, and objects to make more intuitive predictions about future actions, ope...
Correlated errors in quantum computers indicate a problem that must be acknowledged and addressed for fault-tolerant development. The study suggests that simple design changes can mitigate local effects, but the bigger concern is what could happen next.
Researchers developed a new hybrid computing approach, combining reliability of classical computers with strength of quantum systems. This method enables near-term applications and discoveries in fields like carbon dioxide removal and pharmaceutical design.
A new study by California Institute of Technology researchers found that a computer program can accurately predict which paintings a person will like, using low-level visual attributes such as contrast, saturation, and hue. The program achieved similar accuracy to deep convolutional neural networks in predicting art preferences.
Researchers at ETH Zurich have developed a new approach to prove the robustness conditions of certain quantum-based machine learning models, guaranteeing reliable results. The team's work explores protection against errors and hackers, paving the way for more accurate and trustworthy quantum machine learning applications.
Artificial intelligence natural language computer applications hold promise for health care, but their potential and pitfalls need thoughtful exploration. The authors identify realistic applications such as relieving routine tasks and improving customer service, but also emphasize the need for 'serious guardrails' to prevent harm.
A team of researchers from Tokyo Institute of Technology and RIKEN, Japan, conducted a meta-synthesis to understand human perception and interaction with computer voices. They found that users prefer human-like voices, particularly those with high pitches and empathetic tones, and that the inclusion of vocal fillers improves interactions.
Researchers from UTSA, UCF, AFRL, and SRI International have developed a new method that improves how artificial intelligence learns to see. By adding noise to multiple layers of a neural network, the team creates more robust representations of images recognized by AI, leading to better explanations for AI decisions.
Experts from the University of Goettingen and Hereon have developed new research strategies for polymer membranes, promising relatively inexpensive production and strong separation selectivity. Computer simulations will play a crucial role in understanding these systems.
Researchers at Northern Arizona University developed a computerized method that uses machine learning to analyze visual information, allowing for rapid sorting of thousands of pottery fragments. The system achieved accuracy comparable to human experts and provided a visual record of its thought process.
A research team from Iowa State University has developed a way to control hard-to-predict systems. The technique uses quotienting to identify the least fixed-point operator, which can result in a new model that acts as a supervisor of the system.
A new brain-computer interface (BCI) system has been developed to restore communication in people with spinal cord injuries and neurological disorders. The system uses mental handwriting to record brain activity, allowing participants to compose sentences and communicate at a speed comparable to typing on a smartphone.
Researchers have deciphered brain activity associated with trying to write letters by hand and developed an algorithm to identify letters. The system displayed the text on a screen in real time, allowing the participant to type 90 characters per minute, more than double the previous record for typing with a brain-computer interface.
Researchers at Skoltech have developed an AI-driven drone system to detect and track Sosnovsky's hogweed, a plant causing severe burns and ecosystem damage. The system uses real-time image segmentation on board drones to identify individual plants, increasing localization efficiency by multifold.
A research team at Washington State University has developed an improved computational method to detect improper gerrymandering using the open source tool GerryChain. The tool creates a pool of alternate maps that meet legal voting criteria, allowing observers to detect extreme outliers and identify potential partisan goals.
A new mobile app is being developed to safeguard users of cryptocurrency by detecting vulnerabilities in popular 'wallet' applications used to manage Bitcoin. The app, called the Bitcoin Security Rectifier, monitors for signs of intrusions and alerts users when an attack is happening, providing remedies based on the type of attack.
A new approach to solving multiagent decision making problems using agent-by-agent optimization leads to reduced computational complexity, performing at par with standard rollout algorithms. The result is a dramatic reduction in computation cost with linear growth in computation with the number of agents.
Researchers have developed a cloud-based platform called ZeroCostDL4Mic that uses artificial intelligence to analyze microscopy images, improving image quality and detecting features such as tumors in biopsy samples. The platform is freely available online and requires no coding expertise, making it accessible to non-experts.
The EU is funding a research project led by Saarland University's Jan Reineke to develop safer and more secure computer systems. The goal is to redefine the interface between software and hardware, making it both efficient and secure for critical areas like airbag controls and energy supply.
Researchers aim to develop a human-centered platform that motivates patients with mild cognitive impairment to stick to a therapeutic regimen of mobile game-playing. Neuro-World games have shown promise in improving cognitive function and predicting expected improvement in patients with MCI.
University of Groningen researchers used artificial intelligence to analyze the Dead Sea Scrolls, identifying two scribes who wrote the famous Great Isaiah Scroll. The AI tool separated text from background and analyzed handwriting patterns, revealing differences between the two scribes.
Researchers have created low-cost, next-generation screening tools for 'lazy eye' in children using computer gaming technology. The devices use webcams or virtual reality headsets to detect visual targets and analyze video streams.
Researchers at Brown University have successfully demonstrated the use of an intracortical wireless BCI system in clinical trial participants with tetraplegia. The system enables users to point, click and type on a tablet computer with high accuracy and fidelity, opening up new possibilities for people with paralysis.
Researchers propose using electron holes as a solution to operational speed/coherence trade-off in quantum computing. Theoretical studies predict holes can be used to create robust quantum bits with optimal operation points for ultrafast and highly coherent performance.
A single qubit on a standard silicon transistor chip has been successfully demonstrated as 'quantum capable' in a new study. The researchers were able to isolate and measure the quantum state of a single electron in a silicon transistor manufactured using existing manufacturing processes.
A machine learning study of rock art in Arnhem Land, Australia, has reconstructed the chronology of artistic styles using over 14 million images. The analysis revealed a link between style similarity and time, showing that styles closer in age were also more similar in appearance.
A new study suggests that people who report no stress experience better daily well-being and fewer chronic health conditions. However, they also perform lower on cognitive function tests and are less likely to engage in social activities.