Articles tagged with Computers
Researchers at Carnegie Mellon University have created a computer model that can translate text describing physical movements into simple computer-generated animations. The Joint Language-to-Pose model enables sentences and physical motions to be jointly embedded, learning how language is related to action, gestures, and movement.
A team of mathematicians, led by the University of Bristol and MIT, has finally solved the Sum-Of-Three-Cubes problem for the elusive number 42. Using a 'worldwide computer' harnessing idle computing power from over 500,000 home PCs, they found an answer that took over a million hours to prove.
Scientists have shown that quantum computers have two degrees of freedom for each bit, enabling faster calculations. A simulation tool called Quantum Simulation Logic has been developed to simulate quantum computer properties in a classical computer.
Researchers at Ohio State University found that sharing career goals with someone perceived as having higher status increases motivation and goal achievement. In contrast, sharing with lower-status individuals has no positive effect. The study suggests that caring about what others think can drive goal commitment and performance.
Using a cellphone to take a break during mentally challenging tasks depletes the brain and impairs performance. Participants who took phone breaks completed puzzles more slowly and accurately than those with no breaks or those taking paper breaks.
Researchers developed VERSE, a voice assistant that merges screen reader capabilities with virtual assistants, enabling free-form web searches and enhanced navigation. The tool allows users to access articles, news, and related searches, and navigate through words, sentences, or paragraphs with ease.
A Finnish research team developed a machine learning approach to predict storm severity, using data from power outages and storm characteristics. The algorithm achieved promising results in predicting class 0 no-damage storms and class 3 damaging storms, with plans to refine the model for winter storms.
A new computer software can detect genuine facial expressions, especially around the eyes. Researchers at the University of Bradford used a video analysis method to identify differences between real and posed smiles, finding that the eyes show more movement in genuine expressions.
A new computer system called EmoNet can accurately categorize images into emotional categories, suggesting that the visual cortex plays a crucial role in emotion processing. The study found that EmoNet could recognize emotions with high accuracy, even for nuanced emotions like confusion and awe.
Researchers have created a prosthetic arm called the LUKE Arm, which can mimic human hand sensations, allowing amputees to pick up objects with greater precision. The arm uses a system of mathematical calculations and modeling to send biologically realistic signals to the brain, enabling users to feel touch, texture, and pressure.
Researchers at Stanford University have designed a photon diode that can only flow in one direction, enabling faster solutions to scientific, mathematical and economic problems. The device uses nanostructures and metasurfaces to manipulate light and break time-reversal symmetry.
Researchers developed a user-friendly, stretch-sensing data glove to capture real-time, interactive hand poses with precision. The gloves outperformed commercial products in most cases, and the team plans to expand to other sizes and shapes.
Researchers develop a novel method to automatically design a mode-free, model-agnostic AI-driven controller for any hybrid UAV, simplifying control and increasing accessibility. The team uses reinforcement learning techniques to optimize flight performance in realistic simulations.
Researchers at Washington State University have improved the software used to track thousands of near-Earth asteroids and comets, reducing modeling time from months to just hours. This breakthrough enables scientists to better predict asteroid orbits and potential collisions with Earth.
Researchers developed Pluribus AI that can play six-player no-limit Texas hold'em poker, outperforming top professionals and five copies of itself. The AI confirms traditional wisdom on limping as a suboptimal strategy for most players.
Scientists have developed a method to produce graphene materials using bacteria, overcoming a major hurdle in adopting this revolutionary nanomaterial. The bacterially-produced graphene material retains its amazing properties, making it suitable for innovative technologies such as field-effect transistor biosensors and conductive inks.
Researchers at IST Austria developed a new method to produce realistic water wave animations, now possible without sacrificing computational efficiency. The technique, which models wave-surface interactions, enables detailed scenes such as ripples forming around islands or boats passing by.
A new study co-led by University of Maryland astronomer Matthew Knight suggests that the first known interstellar object, 'Oumuamua, has a purely natural origin. The research team analyzed existing data and found that 'Oumuamua's characteristics are more consistent with a comet or asteroid than an alien spacecraft.
Researchers have discovered that tungsten trioxide can replace barium in X-ray exams and cancer treatments, offering a more effective and safer alternative. The compound's high absorptive capacity makes it suitable for creating a new class of contrast agents.
A new 3D-printed prosthetic hand can learn a wearer's movement patterns, allowing them to perform complex actions like picking up small items or clenching their fist. The hand's accuracy is above 95% for single simple motion and 93% for complicated motions.
Researchers at Carnegie Mellon University have successfully developed a noninvasive brain-computer interface (BCI) that enables continuous control of a robotic arm using only thoughts. This breakthrough technology has the potential to revolutionize the lives of paralyzed patients and those with movement disorders.
Researchers developed a novel method for producing higher-quality images and scene designs in less time by using a deep-learning-based approach that considerably cuts the noise in images. The method results in sharper images with intricate details, including complex lighting components.
Researchers at Ben-Gurion University have developed a new attack called Malboard that mimics a user's keystroke characteristics to evade detection. The attack can be carried out by a remote attacker or an insider using wireless communication, and it is capable of injecting malicious software into the keyboard.
A team of computer scientists has developed a method to analyze artistic portraiture, capturing facial features and individual style with high accuracy. The researchers used 'artistic augmentation' to transform photographic face data into more similar to artistic portraits.
Researchers develop method to mimic human decision-making, enabling computers to render multiple acceptable decisions. This allows for variability in computer systems, similar to human experts, and can lead to better performance.
Illinois researchers have developed a 'time-traveling' solid-state drive that can revert files to previous versions in case of ransomware attacks. The tool maintains data for at least three days before automatically deleting older versions, allowing users to backup their data on other systems during this time.
Researchers from computer science, psychology, mathematics and linguistics work together to develop new methods for processing and representing image information. The project aims to improve the detection of movement in video recordings and explore applications of augmented and virtual reality technologies.
Salto's new skills allow it to bounce like a pogo stick and jump through obstacle courses like an agility dog. Researchers hope the robot will aid in search-and-rescue missions by navigating rubble to find trapped people.
Limiting evening exposure to light-emitting screens can improve sleep quality and reduce symptoms of fatigue and bad mood in teenagers. A one-week study found that adolescents who reduced screen time experienced earlier wake-up times and fewer symptoms of sleep loss.
Researchers developed a machine-learning approach to distinguish critical markers of Alzheimer's disease using computer-aided analysis. The tool can process large amounts of data quickly and accurately, enabling neuropathologists to analyze thousands of times more samples than before.
Scientists at the University of Konstanz have demonstrated how skyrmions can be used for probability-based computing. They successfully developed a material where skyrmions can form and exploited thermal diffusion to create a reshuffler, a crucial component for probabilistic computing.
Researchers at Graz University of Technology have discovered two new security flaws, ZombieLoad and Store-to-Leak Forwarding, which allow attackers to read sensitive data from Intel processors. The vulnerabilities affect all processors developed by Intel between 2012 and 2018, requiring urgent updates to ensure system protection.
For the first time, researchers have measured the fidelity of two-qubit logic operations in silicon with highly promising results. The study demonstrates an average two-qubit gate fidelity of 98%, paving the way for scaling up to a full-scale quantum processor.
A study found that people who believe computers can surpass humans in tasks are more likely to accept self-driving cars. This 'posthuman ability' had a significant impact on acceptance, suggesting designers could re-envision car interiors with interactive devices.
Researchers at University of Cologne and Bonn developed a method to visualize fine surface structures using gold-coated samples in computer tomography. This technique allows for detailed analysis of organisms with previously invisible features, with applications in biology, taxonomy, and education.
Researchers at Stevens Institute of Technology are developing tools to ensure programs run correctly in specific situations and determine if software can produce unwanted results. Their approach uses algorithms and temporal logic to model a program's structure and behavior, allowing for 100% guarantee against bugs.
Researchers from the University of Bradford have developed a facial recognition system that can accurately identify individuals even when only half or three-quarters of their face is visible. The study found that the bottom half of the face, eyes, and nose were most useful for recognition.
Researchers used brain signals from epilepsy patients to program a computer to mimic natural speech, potentially improving quality of life for paralyzed individuals. The study successfully recreated vocal sounds with varying accuracy and demonstrated generalizability across patients.
Scientists are developing better manufacturing processes and control equipment for superconducting circuits and trapped ions. New materials like silicon spin devices and topological materials are also being explored to reduce noise and error in qubits.
West Virginia University researchers aim to unlock secrets of gravitational waves from binary black hole collisions with public computing power. They are building a website with downloadable software to generate self-consistent simulations, covering gaps in knowledge about gravitational wave parameters.
Researchers have developed a biosynthetic dual-core cell computer using CRISPR-Cas9 components, enabling scalable and flexible computing. This biological system can process up to 100,000 different metabolic molecules per second, far surpassing previous cell computers.
Researchers developed a hybrid lightweight tracking algorithm, Kerman, to enhance detection of people and behaviors in surveillance videos. The algorithm uses decentralized computing to process video streams on-site, increasing agility and robustness.
Researchers at MIT's Media Lab have created basil plants with enhanced flavor and potential health benefits using computer algorithms. The team used hydroponic containers with controlled environmental conditions to grow the plants, which were then analyzed for volatile compounds. Machine learning algorithms evaluated millions of possib...
A team of MU researchers used deep learning to predict material structures and their properties in graphene, a strong material. The study enables the design of new materials with specific properties, such as LEDs, touch screens, smartphones, and solar cells.
A new simulation system, AADS, combines photos, videos, and real-world trajectory data to create a more realistic autonomous driving environment. This allows for safer testing of self-driving vehicles in the lab before hitting the roads.
A team of healthcare data scientists and doctors developed an AI system using machine learning algorithms to predict the risk of early death due to chronic disease. The system performed better than current standard approaches and showed promise in improving preventative healthcare.
Researchers have created a soft computer using only rubber and air, emulating the thought process of an electronic computer. The soft computer mimics digital logic gates and achieves complex operations with pneumatic signals, enabling faster and more energy-efficient robots.
A nationwide survey of Brazilian teens found that excessive screen time and unhealthy snacking are associated with an increased risk of metabolic syndrome, a cluster of risk factors for heart disease and diabetes. The study suggests that limiting screen time and avoiding snacks in front of screens may help reduce this risk.
Researchers found that people strongly agreed with computer-generated answers on image identification tasks, validating the idea that humans and machines see images differently. This suggests that advances in artificial intelligence may need to be improved to narrow the gap between human and machine visual abilities.
Researchers design DNA molecules that can carry out reprogrammable computations, executing six-bit algorithms for simple tasks. The system demonstrates versatility and potential for teaching about molecular processes encoding information.
A new computer program can identify unwanted states in quantum computers, allowing users to check reliability without technical expertise. Researchers used the IBM Q Experience and dimension witnessing technique to demonstrate the method's accuracy.
Researchers at Saarland University have created an ultrathin flexible film that can act as a sensor for innovative technologies. The smart glove uses tactile signals to provide real-time feedback and assistance to assembly line workers, helping to prevent costly mistakes.
Engineers at the University of British Columbia have created a three-dimensional computer model of bat flight, capturing its complexity for the first time. This breakthrough could lead to better drone design and efficient aerial vehicles.
Researchers at TU Dresden are developing a technical assistance system that allows users to control devices using only tongue movements. The system, called Zungenmaus, aims to maintain everyday skills in patients with sensory and motor function impairments.
A recent study found that handwritten font on menus can convey a sense of love and care, leading customers to believe healthier food options are better for their bodies. This perception influences customer behavior, including increased social media interaction with the restaurant's brand.
Researchers at the University of Warwick and Children's Hospital of Philadelphia have developed a computer simulator that predicts lung damage from ventilator settings. The study identified strategies to reduce tidal volumes and driving pressures, potentially improving patient outcomes.
A team led by Professor Ebrahim Karimi creates a new quantum simulator that uses the properties of light to simulate periodic and closed structures in nature. The experiment reveals fundamentally different physics between ring-shaped and line-shaped systems, opening opportunities for developing efficient photonic-based quantum computers.
Scientists found that a strategy called 'extortion' is unbeatable, as it alternates between cooperation and egoism to force opponents to cooperate. This tactic can lead to significant gains for the 'extortioner', even when competing against cooperative players.
Researchers have developed a new technique using machine learning to classify large datasets of camera trap images, reducing the time needed for analysis. The computer can identify species with high accuracy and also learn to distinguish between empty images, greatly increasing efficiency.
A new breed of algorithms has mastered Atari video games 10 times faster than state-of-the-art AI, using a combination of reinforcement learning and intrinsic motivation. This method autonomously identifies sub-goals and exhibits relatively human-like behavior, making it competitive with Google DeepMind in the game Montezuma's Revenge.