Articles tagged with Computers
Researchers at the University of Warwick have discovered a way to program cells using genetic engineering, enabling them to control actions such as fighting disease. The technique uses a common molecule called RNA, which can be engineered into sequences similar to computer code to instruct cells to perform specific actions.
Researchers develop a general-purpose technique to analyze neural networks trained for natural-language-processing tasks. The method applies to any black-box text-processing system, revealing idiosyncrasies in human translators' work and identifying gender biases in machine translation systems.
A new study used speed dating data to test if machine learning could predict unique romantic desire. The researchers found that while they could predict overall tendencies for someone to like and be liked by others, they couldn't anticipate which two people were a match.
A computer program analyzed estimates from an agribusiness expert, improving the accuracy of forecasts and leading to a 2-3% increase in profits and a 6-7% decrease in costs. The model quantifies expertise by comparing expert judgments with data collected in the field.
Researchers conducted two experiments with UCLA students to test the impact of multitasking on memory. They found that divided attention impairs memory recall but does not affect focus on critical information.
Researchers at Disney Research developed an algorithm that can automatically recognize soccer formations and defensive strategies from player tracking data. The algorithm outperformed conventional methods in identifying dynamic player roles and coordinated team behavior, with applications beyond sports.
A UBC study found that consumers are more likely to buy hedonic products with touchscreen technology, evoking experiential thinking. The study advises consumers to put away their smartphones when shopping for guilty pleasures to save money.
A new machine learning program developed by researchers at Case Western Reserve University appears to outperform other methods for diagnosing Alzheimer's disease before symptoms begin. The program integrates various indicators of the disease, including mild cognitive impairment, to predict who has Alzheimer's and those with mild cognit...
Researchers at Carnegie Mellon University developed a method for computers to mine databases of patents, inventions, and research papers to identify ideas that can be repurposed. This approach uses crowdsourcing and deep learning to analyze product descriptions and find analogous products, leading to innovative solutions.
Researchers found that over 90% of USB-connected devices leak information to external devices when plugged into the same hub. This 'channel-to-channel crosstalk leakage' allows malicious devices to capture keystrokes and private info.
A new study has found a correlation between depressed people's Instagram photos and characteristics such as bluer tones, fewer faces, and a preference for filters that drain color. The algorithm's detection rate of 70% surpasses the success rate of general-practice doctors diagnosing depression in-person.
Researchers developed FlowRep to create design sketches of everyday objects, leveraging insights from Gestalt psychology. The algorithm can produce comparable sketches to professional designers, with potential implications for 3D printing and fabrication.
Researchers at the University of British Columbia have developed a breakthrough algorithm called DeepLoco that enables computer characters to learn complex motor skills like walking and running through trial and error. The system uses deep reinforcement learning to allow characters to respond to their environment without hand-coding st...
A new tool from Disney Research enables novices and experts alike to create high-quality motion cycles in a matter of minutes, enhancing the creative process and expanding artist contributions. The tool uses an algorithm to extract the motion cycle from a performance, allowing for editing and customization.
Researchers create RNA circuits that enable living cells to perform computations, producing complex logic capable of responding to multiple inputs. The technology has significant implications for fields like drug design, energy production, and cancer treatment.
Researchers developed a deep learning model to remove noise from computer-generated images, enabling production-quality rendering at higher speeds. The technology, tested with millions of examples from films like Finding Dory and Cars 3, successfully preserved detail in scenes while removing unwanted artifacts.
A pair of new computational methods developed by researchers from MIT, University of Toronto, and Adobe Research generate simulations that match real-world behaviors at rates 70-times faster than previously possible. These methods can automate the design process used to create dynamic mechanisms for controlled jumping.
Scientists have developed a way to delete and replace out-of-place atoms in silicon chips, correcting communication pathways and enabling the creation of perfect patterns. This breakthrough allows for the production of ultra-low power atomic circuitry at room temperature, revolutionizing the field of electronics.
Ramesh Raskar has made significant impact in computational imaging, light transport and augmented reality with techniques like femto-photography. His work has led to applications such as EyeNetra, a low-cost technique to measure human refractive error and prescribe eyeglasses.
Bernd Bickel, an Assistant Professor at IST Austria, will receive the Significant New Researcher Award for his contributions to computer graphics and facial modeling. His research has introduced new techniques for capturing and reproducing facial structure and motion in 3D digital models.
A team of UC Berkeley researchers has developed a new technique for real-time user-guided colorization using deep neural networks. The system enables novice users to quickly produce reasonable results by learning common colors for different objects and making recommendations in real-time.
Jessica Hodgins, a pioneer in character animation and robotics, has been recognized with the prestigious Steven Anson Coons Award for her outstanding contributions to computer graphics. Her work on physical simulation and control has advanced the development of realistic computer animations and human-robot interaction.
Researchers at Disney Research and UC Davis have developed a method for computer vision programs to understand spatial relationships in images based on caption sentence structure. This approach enables accurate visual localizations for language inputs, outperforming baseline systems that do not consider natural language structure.
A global team of computer scientists and engineers developed an innovative technique for reconstructing complex objects using water displacement. The method accurately captures hidden parts of an object, previously inaccessible to laser scanners.
A new computational method called GRASS uses machine-learning techniques and artificial intelligence to automate the creation of plausible 3D shapes. The research paper showcases a generative recursive autoencoder for shape structures that can generate novel shapes without manual input.
Researchers studied decision-making in real-time using mouse trajectories, finding that individuals with low self-control veer closer to unhealthy foods. The study suggests a more dynamical process where both healthy and unhealthy choices compete from the beginning, contradicting dual systems theory.
Researchers at Carnegie Mellon University developed a computer that can understand body poses and movements of multiple people in real-time, including finger poses, using a single camera and laptop. This enables new ways for people and machines to interact, such as more natural communication with computers by pointing at objects.
A new study reveals widespread physician dissatisfaction with electronic health records (EHRs), with hospital-based physicians expressing concerns about reduced patient contact time and office-based physicians worrying about the quality of their interactions. Despite these challenges, some physicians have found ways to minimize disrupt...
The Hubble Space Telescope has imaged a powerful Seyfert galaxy, 2XMM J143450.5+033843, emitting huge amounts of radiation due to its supermassive black hole. The galaxy is nearly 400 million light-years away and is one of the unlucky ones with a unique X-ray name.
Researchers at IST Austria have developed a new method to create self-actuating, smooth, and free-form objects called CurveUps. These objects are made up of tiny tiles sandwiched between pre-stretched latex layers that transform into a continuous shell during the process.
Researchers solved a mystery about lithium's structure, revealing its atoms are arranged simply like oranges in a box, contrary to previous complex results. The study used high-pressure experiments and advanced quantum mechanics to accurately observe the material's fundamental properties.
A team led by Thomas Hales has delivered a formal proof of the Kepler Conjecture, resolving a centuries-old mathematical problem. The proof uses computer verification to establish certainty, addressing the community's inability to thoroughly verify previous attempts.
Researchers have developed a graphene-based transistor that can produce massive jumps in computing speed and efficiency. By applying a magnetic field, the resistance of current flowing through the device can be controlled, allowing for faster processing speeds and reduced power consumption.
Researchers are developing new approach to computer technology, using mechanical vibrations for computations in aerospace applications. This method makes the computers more robust to radiation exposure and has potential for future commercial impacts.
Researchers from Spain and Italy used the JANUS supercomputer to reproduce an experimental protocol on spin glasses, connecting theoretical and experimental developments. The simulation revealed that microscopic and macroscopic correlation lengths are equal, providing a theoretical basis for studying physical systems.
Researchers develop synthetic genes that function like NOR gates in electronics, allowing for large-scale digital information processing in living cells. This enables targeted therapies and efficient biofuel production.
Machine learning techniques are successfully applied to image-based diagnosis, disease detection, and prognosis in medical imaging. The review focuses on denoising methods using machine learning approaches to develop a systematic decision for diagnosing and prediction of medical images.
Researchers Dr Adrienne Jochum and her team describe three new Carychium species found in North and Central America, including Georgia, Belize, and Panama. The discovery uses computer tomography to visualize snail shells and identify different species.
A team of researchers found computer code in Volkswagen vehicles that allowed them to circumvent emissions tests by activating curbing systems. The code, labeled as an 'acoustic condition,' was used on a wide range of models and emitted up to 40 times the allowed nitrogen oxides.
Scientists at Ludwig-Maximilians-Universität München demonstrate that tiny spots of silver can significantly reduce energy consumption in light-based computation. By exploiting the properties of plasmon oscillations, they achieve a balance between nanometer-scale dimensions and low energy loss.
The RMIT team has developed a nano-hologram that is simple to make, can be seen without 3D goggles and is 1000 times thinner than a human hair. The discovery could transform industries such as medical diagnostics, education, data storage, defence and cyber security with the potential to display a wealth of data.
A study by University of Houston researchers used publicly available emails from Hillary Clinton and Sarah Palin to analyze the characteristics of phishing emails. The results showed that participants had a 52% accuracy rate in detecting real emails, while more complex grammar fooled 74% of them.
Researchers at Michigan State University have developed a flexible, ultrathin device that can convert mechanical energy to electrical energy and vice versa, enabling applications such as foldable loudspeakers, voice-activated security patches, and talking newspapers.
Ransomware attacks on hospitals have increased fourfold from 2015 to 2016, with the amount of money paid to hackers rising to $1bn. Hospitals can take steps to prevent these attacks by implementing digital hygiene measures and frequent backups to protect their data.
Researchers are developing phononic computers that can process vast amounts of information, rivaling quantum computers' capabilities. These 'phi-bits' store data in a superposition state, reducing sensitivity to environmental conditions.
Researchers at the University of Southern Denmark have developed a new technique to detect ecstasy that is extremely reliable and simple to use. The method can detect even small traces of the active compound in ecstasy with almost 100 percent certainty.
Researchers have developed a method that enables computers to infer psychologically plausible models of individuals from limited data, improving understanding of human behavior. This breakthrough could lead to more accurate predictions and adaptations in human-robot interaction and adaptive interfaces.
A new generation of prosthetic limbs with built-in cameras can now automatically pick up objects, eliminating the need for manual control. Researchers at Newcastle University have developed a 'hand that sees' using computer vision and neural networks, which can assess object shape and size in real-time to trigger precise movements.
Researchers developed DeepLoc, a deep learning algorithm that can track proteins in cells faster and more accurately than human eyes or previous computer vision-based approaches. The algorithm recognizes patterns in cell images made by proteins and can process data from other labs.
Researchers have developed a new theoretical framework to identify computations that occupy the 'quantum frontier', the boundary between problems solvable by classical and quantum computers. The study shows that these computations can be performed with near-term, intermediate quantum computers.
A study from the University of Washington's Institute for Learning & Brain Sciences found that 6-year-old girls who programmed a robot showed greater interest in technology and more positive attitudes about their skills than those who didn't. The intervention reduced the gender gap in technology interest by 42%.
A new method has been developed to ensure reproducibility in computational experiments, addressing a major challenge in science. Nextflow, a workflow management system, provides a standardized framework for managing computational workflows and integrating resources such as data repositories and cloud computing.
The Disney Research team has developed a new system called Makeup Lamps that can track an actor's facial movements and apply light-based makeup in real-time. This technology enables the creation of stunning transformations without physical makeup, with potential applications in theater, film, and other creative fields.
Researchers at Penn State have developed a method to create personalized mental and physical therapy regimens using gaming features. Gamified applications with scoring systems, avatars, and in-game rewards led to significantly fewer mistakes and higher performance than non-gamified applications.
NASA's Terra satellite captured a well-defined low-level circulation center in the remains of Tropical Depression 02W, located near the Philippines. The system is expected to move northward but faces unfavorable conditions for intensification.
Nebraska engineers have created a nano-thermal-mechanical device that allows computing at temperatures up to 630 degrees Fahrenheit. This technology has the potential to revolutionize industries such as space exploration, oil drilling, and geology by harnessing heat instead of combating it.
The study found that about 42% of players experienced an epiphany, committing to playing zero after realizing it was the best choice. Participants who had epiphanies showed signs of learning, such as increased pupil dilation and attention to low numbers, before making the commit decision.
A team led by Dr. Dan Stowell is developing a new approach to machine learning using the dawn chorus, enabling computers to analyze sounds and identify patterns. The research has potential applications in areas such as climate change analysis, historic birdsong recordings, and improving human language understanding.
Researchers from IUPUI have developed a machine-learning model to predict the probability of home sales, utilizing data from real estate websites. The model accounts for various features such as price, location, age, and size, enabling informed decisions for both sellers and buyers.
Researchers at the University of Bristol have developed a highly magnetic material made from nickel-based polymer that can be easily created and destroyed using temperature changes. This discovery has significant implications for improving data storage applications and enhancing computer technology performance.