Articles tagged with Computers
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.
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.
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 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.
Researchers at Tohoku University have developed a nanosecond operation technology for the spintronics-based probabilistic bit, enabling faster computation speeds and accuracy. The device, with an in-plane magnetic easy axis, achieves 100 times faster relaxation times than previous records.
Researchers at Osaka City University have developed a new quantum algorithm, BxB, which calculates energy differences directly to predict electronic states of atoms and molecules with chemical precision. The algorithm achieves this with half the number of qubits required by the existing Quantum Phase Estimation (QPE) method.
Researchers at Florida State University developed a method to automatically infer parameters used in quantum Boltzmann machines, which can be applied to train artificial neural networks for tasks like image recognition and drug discovery.
Researchers at the University of Cambridge have identified a new material that can switch between a window and a mirror in a quadrillionth of a second, paving the way for faster computing. The material, Ta2NiSe5, exhibits ultra-fast switching capabilities, surpassing current computer speed.
The new technology minimizes hardware limitations, enabling continued increases in computing speed and scale. Toshiba expects the new scale-out approach to bring significant benefits to financial transactions and robotics industries.
A new deep-learning algorithm, CARRL, is designed to help machines build a healthy skepticism of their measurements and inputs. By combining reinforcement-learning algorithms with deep neural networks, researchers created an approach that outperformed standard machine-learning techniques in scenarios with uncertain and adversarial inputs.
Researchers at MIT have developed a new type of control system that allows soft-bodied robots to turn rigid on demand. This advancement could enable robots to combine the strength and precision of rigid robots with the fluidity and safety of soft ones, leading to improved performance in various tasks such as caring for human patients.
Wild greater mouse-eared bats use extremely weak prey echoes that are like whispers to humans, allowing them to focus on their next meal. The bats control the strength of their returning echoes by calling louder or weaker, using this strategy to simplify their information and process.
A recent study published in Information & Management found that human analysis can effectively identify fake online reviews by leveraging linguistic characteristics. Researchers asked participants to distinguish between authentic and fake hotel reviews, with surprisingly effective outcomes.
The study analyzed subtitles of 2,000 films from the past seven decades to find consistent biases in Bollywood and Hollywood movies. Bollywood films consistently depicted fair skin as a beauty standard, while male characters made up about 60-65% of all pronouns used.
Researchers from Ruhr-University Bochum found that computerised training can reduce PTSD symptoms by helping patients reappraise trauma memories. Patients who underwent the 'Cognitive Bias Modification-Appraisal' training showed fewer trauma-relevant symptoms and lower stress hormone levels compared to those in a control group.
A new study from the University of Illinois at Urbana-Champaign found that the incidence of prolonged hiring difficulties for STEM workers in the IT help desk sector is modest, with only 11%-15% of vacancies showing signs of persistent hiring frictions. The researchers identified organizational characteristics, management strategy, and...
Scientists used theoretical calculations to predict electronic states in topological insulators excited with laser beams, generating Dirac states that can act as if massless. This discovery may pave the way for new computers systems that waste less energy.
A study of 19,732 participants found that using fillers dissimilar to the suspect increased correct identification without wrongly identifying innocents. This method may improve lineup accuracy and reduce wrongful convictions.
Researchers at the University of Sussex have created the tiniest microchips using graphene and other 2D materials through a process called 'nano-origami'. By crinkling graphene, they demonstrated that it can behave like a transistor, leading to smaller and faster devices.
A mathematician from RUDN University developed a stable difference scheme to solve inverse problems in elliptic-telegraph and differential equations. The scheme was tested both analytically and numerically, demonstrating absolute stability and independence from calculation step size.
AI researchers have developed a method to train neural networks to predict the function of DNA sequences, allowing for deciphering larger patterns. This breakthrough enables analysis of complex DNA sequences critical to development and disease, potentially improving understanding of gene regulation and its impact on diseases.
The Ramanujan Machine generates mathematical conjectures without proof, imitating Ramanujan's intuition using AI and computer automation. It has already produced known formulas for pi, Euler's number, and other constants, as well as several unknown conjectures.
Researchers at Tufts University have created flexible thread-based sensors that can measure movement of the neck, providing data on direction, angle of rotation, and degree of displacement. The technology has potential implications for tracking health and performance, with applications in athletic performance, worker fatigue, physical ...
Researchers have discovered a method to produce silicon at room temperature using electrical currents instead of extreme heat, which could slash energy use and cost in the industry. This technique replaces thermochemical processes with electrochemical processes, converting clean electricity into chemical energy.
Researchers in Arizona State University's Biodesign Center explore how evolutionary computation simulates nature's evolution principles, enabling machines to find novel solutions to complex problems. The study highlights six hallmarks of Darwinian evolution and demonstrates progress in applying these features to AI and engineering design.
Scientists are using AI to identify insects at supernatural speed, opening up new possibilities for discovering unknown species and tracking their life across space and time. Insects have diverse life histories and roles in ecosystems, making manual observation and counting a time-consuming process.
A Sandia Labs research team used machine learning to complete materials science calculations 42,000 times faster than normal, accelerating the creation of new technologies for optics, aerospace, and energy storage.
A new device developed by UC Berkeley engineers can recognize 21 individual hand gestures, including a thumbs-up, for controlling prosthetics or interacting with electronic devices. The system uses advanced AI and wearable biosensors to maintain user privacy and improve human-computer interaction.
Researchers at Chalmers University successfully execute QAOA algorithm on 2-qubit quantum computer to solve aircraft route assignment problem, demonstrating potential for practical applications. The algorithm's scalability suggests it could handle larger problems, paving the way for a useful quantum computer.
A new AI model has shown promise in generating faster and more accurate weather forecasts by analyzing past weather patterns. The model uses about 7,000 times less computing power than traditional forecasting models while still simulating a year's weather around the globe.
The electronic amoeba, an analog computer inspired by a single-celled organism, has been developed to find approximate solutions to the traveling salesman problem in linear time. The device uses resistance values to represent constraints and requests, allowing for efficient and dynamic optimization.
Researchers at MIT have found a way to overcome oxide trapping issues, allowing InGaAs transistors to compete with silicon technology. The alloy's electron transport properties enable faster calculations and improved energy efficiency.
Researchers at the University of Copenhagen find that computer algorithms cannot optimize packing of objects in two dimensions without overlap beyond four or five items. The study's findings have significant implications for industries such as clothing manufacturing and metal processing, where efficient material cutting is crucial.
A new approach to neuromorphic computing has been demonstrated using micrometer-sized wafers, enabling fast and energy-efficient pattern recognition. The HZDR team's component exploits spin waves to process information without moving electrons, promising applications in AI-powered smartphones and traffic optimization.
Scientists track animal activity levels using new satellite technology, providing insights into their responses to environmental changes. The study's findings open up new research opportunities for understanding climate change impacts on marine species.
Mathematicians from RUDN University developed new symbolic integration functionality for the Sage system, building on 19th-century ideas by Karl Weierstrass. The team confirmed that Weierstrass's theory can determine whether an integral can be calculated in elementary functions.
Researchers found that people who move their mouse towards a safe option may be more risk-averse than they appear, while those who veer towards a risky option may be more open to risk. The study used mouse tracking to analyze participants' decision-making and found accurate predictions of future behavior.
A new study from Children's Hospital Los Angeles shows that machine learning can accurately identify patients with congenital adrenal hyperplasia (CAH) using subtle facial features. The research uses facial morphology to detect differences in CAH patients and correctly identifies them with greater than 90% accuracy.
Researchers at the University of Illinois developed a new method that combines machine learning and physics to simulate turbulent flow, allowing for more accurate predictions in aerospace engineering. This method has the potential to improve design efficiency and reduce costs in industries such as air travel and spacecraft development.
Stony Brook University has installed a new supercomputer, Ookami, powered by the HPE Apollo 80 system and Fujitsu A64FX processor, offering a balance of high performance and power efficiency. The system is supported by Bright Cluster Manager software and will be available for researchers nationwide to test new computing technologies.
Researchers discovered a two-layer buckled honeycomb structure of blue phosphorene with extremely stable metallic properties, promising applications in nano- and optoelectronics.
Kevin Moran and collaborators study automated bug report quality and chatbot design for effective bug-reporting. The project aims to improve computer systems' reliability through better bug-reporting processes.
A new AI-based method has been developed to detect small, imperceptibly tiny earthquakes that occur on the same faults as bigger earthquakes. This technology could provide insights into how earthquakes interact and spread out along the fault, allowing for a clearer view of earthquake patterns.