Articles tagged with Computers
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.
Researchers at UCF are working with Adobe to develop personalized reading formats that enhance reading speed and comprehension. Early studies have shown a 25% increase in reading acceleration using Liquid Mode technology.
Watching high-quality nature programs on TV can uplift moods and reduce negative emotions, while experiencing virtual reality nature can lead to increased positive feelings and a stronger connection to the natural world. The study found that interactive VR experiences had the most significant benefits.
Computer scientists at Saarland University have developed a method to produce special textiles with electronic properties through a dyeing process. This allows for the creation of e-textiles that can be integrated into IT devices without affecting their original properties.
Researchers at Aalto University conducted the first empirical study on mobile app design, finding that larger and brighter elements don't catch users' eyes. Instead, text elements and specific locations like the top-left corner tend to draw attention.
Researchers have found that EEG-based BCI speller output can be easily manipulated by tiny adversarial noise, exposing a critical security concern. This manipulation can lead to user frustration or severe misdiagnosis in clinical applications.
Researchers at Cold Spring Harbor Laboratory have developed an AI tool that can efficiently recognize neurons in microscope images, significantly improving the accuracy of automated tracing and analysis. This breakthrough aims to untangle the mysteries of brain connectivity and enable humans to think about how brains work.
Researchers at Osaka City University have developed a quantum algorithm that removes pesky spin contaminants from chemical calculations on quantum computers. This breakthrough enables precise and accurate predictions of atomic and molecular behavior, which is crucial for applications such as pharmaceuticals and materials research.
A team of researchers at UC Berkeley has created the last tool in the toolbox for building working carbon circuits, a metallic wire made entirely of carbon. This breakthrough enables the creation of more efficient carbon-based transistors and ultimately, computers that can switch many times faster and use less power.
Researchers found that meditation training significantly improved brain-computer interface (BCI) control and proficiency in just eight lessons. Brain activity patterns correlated directly with success, with meditation-trained individuals showing enhanced alpha rhythm modulation.
Swiss Center for Electronics and Microtechnology engineers developed an approach to overcome the initial trial-and-error phase of reinforcement learning. This allows computers to quickly find the right path without extreme fluctuations, slashing energy use by over 20% in complex systems.
A team of researchers, led by Gautam Das at the University of Texas at Arlington, is working on a human-in-the-loop framework to optimize the data science pipeline. This approach involves humans adding context to datasets, which can help computers determine what information is relevant, making the process faster and less labor-intensive.
Researchers at the University of Helsinki developed a technique that models visual perception by monitoring human brain signals, allowing computers to generate new information and create images matching users' intentions. The accuracy of this method was 83% in an experiment where participants focused on certain features.
A semi-automatic phone triage system designed to help people with chest discomfort during out-of-hours periods has been found to be unsafe and unreliable. The system underestimated the severity of more than a quarter of patients with serious heart conditions, highlighting the need for input from nurses to ensure accurate assessment.
Experts have documented and analyzed hitherto unknown details in the muqarnas of the Lions' Courtyard at the Alhambra, revealing a different configuration and number of pieces between the two temples. The research also detected geometric deformations due to centuries-old repairs.
Vera Demberg is working with computer systems that can explain or summarize content, aiming to reduce misunderstandings and ensure natural human-computer interaction. She aims to model individual language comprehension and create a system that adapts to individual users' manner of expression.
Researchers developed a machine learning approach to examine placentas, decreasing healthcare costs and allowing more women to be informed of their health risks. The algorithm can identify diseased blood vessels indicating preeclampsia risk with high accuracy.
A new study by the Murdoch Childrens Research Institute found that grade 3 students who watched more than two hours of TV daily or spent more than one hour a day on a computer experienced a decline in academic results two years later. Heavy TV use was associated with a loss of four months in learning by age 10, while heavy computer use...
A new study found that heavy television use and computer use in late childhood are linked to poorer reading and numeracy skills. Children who used electronic media for more than 1 hour per day showed a significant decline in academic performance compared to their peers.
Researchers at Purdue University have developed a new theory that may lead to systematic design of quantum algorithms, outperforming classical computers. The theory identifies large groups of quantum states with polynomial complexity, allowing for efficient coefficient sampling procedures to determine their suitability.
Santa Fe Institute researchers Artemy Kolchinsky and David Wolpert present a new framework for understanding the relationship between energy and computation in Turing machines. They derive relationships between algorithmic information and energy, showing that computations with more compressible outputs require more energy.
Research found a 6% reduction in excessive prescribing of reliever inhalers after an electronic alert was introduced, with also increases in asthma reviews and reductions in exacerbations. The study suggests the alert prompts a review of patients who may have poor asthma control.
A new AI system has been developed to detect cryptocurrency miners hijacking supercomputers for illicit mining. The system compares programs based on graphs, identifying malicious codes and preventing computing power theft.
The article reports on a research paper comparing onsite server setups and virtualized cloud setups for teaching GIS courses online. The authors share user feedback and discuss resource metrics needed to support student computing needs, highlighting the growing need for fast computers.
Researchers created a family of benchmark quantum circuits with known optimal depths or sizes to improve quantum compilation design. This could lead to computation speeds up to 45 times faster than currently demonstrated. The benchmarks, named QUEKO, have been made open source and are available on GitHub.
A new mathematical procedure minimizes the sign problem in quantum Monte Carlo method, reducing computational time for solid-state systems. This approach enables faster development of materials with special spin properties.
By 2245, digital information is predicted to outnumber atoms on Earth, transforming the planet into a 'mostly computer simulated' world. Current data storage densities suggest this could happen in approximately 150 years.
A study published in Science Advances reveals that common but invisible words like 'a', 'the', and 'it' follow a consistent pattern across most storylines, regardless of genre or format. The research team identified three stages: staging, plot progression, and cognitive tension, which reflect how humans optimally process information.
A team of researchers at Stanford University has made a breakthrough in developing a wireless brain-computer interface that can accurately control electronic prostheses using thoughts. The new technology uses a tenth of the power required by current wire-enabled systems, making it safer and more natural for patients with paralysis or n...
Researchers at Washington University in St. Louis developed a new algorithm called Parallel Residual Projection (PRP) to solve linear inverse problems by breaking them down into smaller tasks that can be solved in parallel on standard computers.
The Smart Stirrer, a novel magnetic stirrer, monitors multiple parameters such as color, transparency, conductivity, viscosity, and temperature wirelessly to enable real-time tracking of chemical reactions. This innovative device allows for automation, reproducibility, and safety in laboratory settings.
Researchers created an inexpensive smart stir bar that can automatically measure and transmit data on a solution's properties to a smartphone or computer. This device uses open-source software and low-cost components to detect parameters such as color, electrical conductivity, and viscosity.
Researchers propose using repetitive DNA sequences, known as flipons, to create logic circuits and perform calculations. These sequences can form different DNA structures, enabling the creation of genetic programs that can be used to overcome environmental challenges.
ICERM, a federally funded math institute, has been renewed with a $23.7 million NSF grant to support its cutting-edge research and education programs. The institute will focus on expanding the use of computation and experimentation in mathematical research.
A new insect detection system using tiny chicken backpacks with wearable sensors has been developed to detect blood-feeding livestock mites. The technology, nicknamed 'Fitbits for chickens,' can help farmers identify infestations and improve poultry welfare.
A study has described how teleportation can be used to create a high-tech jamming session between a human musician and a quantum computer. The result is a unique performance piece combining live human and computer-generated sounds.
Scientists at TU Wien have developed a new method for simulating wear and friction on an atomic scale using supercomputers. This allows them to study the behavior of materials on a microscopic level, enabling the prediction of durability and safety in industrial applications.
A new study from Tohoku University and the University of Cambridge has created a polymers-based device that mimics brain neural cells. The research used a combination of PSS-Na and PEDOT:PSS polymers, resulting in a significant increase in response time.
A University of Washington study reveals that 75% of US workers cannot work exclusively from home, putting them at increased risk of exposure to disease and other job disruptions. These workers are also more likely to be in lower-paid jobs, with some earning as little as $32,000 per year.
A Dartmouth study has developed an interactive 3D printed circuit education tool for people with visual impairments, providing audio feedback in response to being touched. The tool aims to broaden the inclusivity and accessibility of maker spaces and engineering classrooms.
Researchers have discovered a new type of molecular wire with good conductivity qualities, paving the way for the development of smaller and more powerful computers. The study's findings suggest that molecules could be used to create electronic devices in the future, overcoming current limitations.
Researchers at the U.S. Army Research Laboratory have developed a unique material design inspired by the human brain's neural structure for brain-like computations. This design strategy promises orders of magnitude reductions in power consumption, suitable for complex data classification and processing.
Researchers at the University of Helsinki developed a technique called 'brainsourcing' to analyse brain activity and determine preferences. The method uses artificial intelligence to classify images or recommend content based on brain activity, achieving reliable labelling results with only 12 volunteers.