Articles tagged with Computers
Physicists at TU Darmstadt have successfully stopped individual photons and preserved them for a short time, enabling the creation of controlled interactions between light and atoms. This breakthrough could lead to breakthroughs in nonlinear optics and simulation of solid materials through photon crystals.
Scientists at NIST and MIT developed a practical technique to control magnons, enabling efficient operation at room temperature. The new approach uses silicon substrates and has potential for industry-scale production, paving the way for highly efficient computer technology.
Researchers at University of Cambridge developed a context-aware AI system that reduces the 'communication gap' by up to 96% for nonverbal people with motor disabilities, enabling faster conversation rates.
Feng Xiong is developing a two-dimensional synaptic array to enable computers to process vast datasets with less power and greater speed. This technology aims to mimic the brain's efficient learning process, allowing for more precise adjustments between states.
Using simulated silicon neurons, researchers found that energy constraints can lead to a dynamic, at-a-distance communication protocol more robust and energy-efficient than traditional computer processors. This protocol enables computing on a secondary network of spikes, allowing for efficient communication and processing.
The Penrose tool enables users to create diagrams by typing mathematical expressions, empowering anyone to translate abstract ideas into beautiful illustrations. Researchers developed a special programming language that mathematicians can easily learn, allowing for high-quality visualizations.
Nowzari's research uses network systems expertise to model how people's movement affects virus spread, providing a more nuanced approach than existing lumped population models. His goal is to help inform policy and business decisions by highlighting the impact of networking effects.
A recent study by Cornell University found that augmented reality (AR) technology can improve the online shopping experience by reducing returns and increasing consumer attitudes towards garments. While results were mixed, participants responded well to virtual try-on, with higher telepresence corresponding to more positive attitudes.
Sandia will be one of the first DOE laboratories to receive Fujitsu's new A64FX processor, optimized for memory-speed bottleneck breakage. The 48-core processor provides greater fractions of usable peak performance and supports collaboration with the Japanese supercomputing community.
Researchers developed a real-time physics engine for simulating the movements of soft robots, which can be used for autonomous operations. The engine uses the discrete elastic rods (DER) algorithm, allowing for faster-than-real-time simulation of hundreds of movements.
The human brain balances complexity and accuracy when processing patterns, with errors playing a crucial role in learning and cognition. The new model suggests that the brain constantly strives to represent things in simple terms, with participants showing quicker responses to sequences generated by modular networks.
Researchers developed an AI tool to automatically diagnose atrial fibrillation and five common ECG abnormalities, comparable to human diagnosis. The AI was trained on a large database of manually diagnosed ECGs and shows great potential for improved cardiovascular care in low-income countries.
A new study found that smartphones increase the willingness of people to disclose personal information online compared to desktop computers. The researchers suggest that smartphone users' comfort and familiarity with their devices lead to a 'safe zone' effect, making them more willing to open up about themselves.
Researchers at Carnegie Mellon University have developed a new AI-powered teaching interface that allows teachers to create intelligent tutoring systems in minutes, rather than hours. This innovation has the potential to increase the adoption of AI-based tutors and provide deeper insights into learning processes.
A team of researchers from Tokyo University of Science proposes a novel solution to the qubit accessibility problem in quantum computing. They design a modified superconducting micro-architecture that simplifies the wiring system by arranging qubits in a 2D bi-linear array, reducing crosstalk and increasing efficiency.
A 25-year study found that infants with high behavioral inhibition exhibited introverted adulthood and lower social interactions. Infants with high infant BI also showed heightened brain activity in response to errors during adolescence, associated with anxiety and depressive symptoms.
Researchers at the University of Texas at Austin developed a method to make big data processing more energy efficient using magnetic components. By leveraging lateral inhibition in artificial neurons, they achieved an energy reduction of 20-30 times compared to standard back-propagation algorithms.
Researchers used microelectrode arrays implanted in brains of two individuals with chronic tetraplegia to map motor functions down to single nerve cells. The study found that an area previously thought to control only one body part actually operates across a wide range of motor functions, demonstrating coordination between neurons.
Researchers at Goethe University Frankfurt studied brain activity in Seba's short-tailed bats to understand how the brain controls vocalization. They identified a group of nerve cells creating a circuitry from the frontal lobe to the corpus striatum, which fires off rhythmic signals predicting echolocation or communication sounds.
Ed Catmull and Pat Hanrahan's innovations in 3-D computer graphics revolutionized the film industry, leading to entirely computer-animated feature films. Their work also impacts video gaming, virtual reality, and augmented reality.
Researchers at University of Münster develop AI tool to predict reaction outcomes using molecular structures, enabling accurate predictions for yields and stereoselectivities. The model can be applied to diverse reactions and is expected to significantly change the approach to chemical syntheses.
Scientists at Osaka University created a flexible computing device from field-programmable gate arrays, increasing circuit density by 12 times and reducing energy usage by 80%. This innovation may lead to custom machine learning hardware with enhanced performance and reduced electricity consumption.
Researchers at Aarhus University have successfully automated the process of measuring and documenting terrain using drones, making it faster, cheaper, and easier. The AI system takes control of the drone's movement, adjusting its distance from the wall and camera position to capture high-quality images with minimal human intervention.
A new algorithm has been discovered that can accurately register two point sets consisting of millions of points in a fraction of the time taken by conventional methods. The algorithm's accuracy is not compromised despite using approximations, and it has wide-ranging applications in computer graphics and computer vision.
Researchers from King's College London develop a digital twin of the heart using computer models to improve diagnosis and prediction of future heart health. The Digital Twin can also inform daily lifestyle choices and provide early warnings for potential risks.
A study published in Nature Human Behaviour found that exposure to 'fake news' during the 2016 US presidential election has been overstated. Untrustworthy websites accounted for less than half of all Americans' visits and only six percent of their news diets on average.
A new app is being used to analyze anatomical differences in hands, with the goal of determining whether they are truly unique. The researchers aim to develop computer algorithms that can link suspects to crimes using images of their hands.
Scientists at Tokyo Institute of Technology have developed a new processor architecture, STATICA, that can efficiently solve combinatorial optimization problems. The proposed system is fully connected and considers all spin-to-spin interactions, enabling parallel updating using stochastic cell automata, which reduces calculation time.
Researchers warn that relying solely on facial expressions to detect emotions can lead to incorrect conclusions and potentially harm individuals. Facial color, body posture, and context are also crucial in accurately detecting emotions.
A team of UCF researchers has created a nanoscale device that mimics the neural pathways of brain cells used for human vision. The innovation combines two promising materials to enable robots to process and memorize information, reducing processing time and energy consumption.
Researchers created a digital amplifier model using a deep neural network that can accurately simulate the sound of various guitar amplifiers, including popular brands like Marshall and Orange. The study uses black-box modelling to replicate the observed input-output mapping of analogue circuitry.
A study published by Ohio State University found that people enjoy seeing bad guys get punished more than being forgiven, but appreciate forgiveness stories as the most meaningful. The researchers discovered that readers take less time to respond to narratives with equitable retribution than those with under- or over-retribution.
Scientists have created a high-speed camera for the quantum world, enabling the precise tracking of electron movements at a resolution of a few hundred attoseconds. This microscope can be used to analyze processes in tiny electronic components and molecules, providing valuable insights for developing faster and more efficient electronics.
University of Illinois researchers develop a new tire design that prioritizes puncture-free strength while maintaining elasticity for a shock-free ride. The study uses computer optimization to create unique structural patterns in the shear layer, ensuring the material can withstand pressure without failing.
The CHEOPS space telescope has successfully opened its cover following a series of tests, enabling further activities including star and planet imaging. The first images are expected to be published within one or two weeks, allowing the team to assess the instrument's abilities.
Biology student Jenny Yi-Ti Sung studies how Beijing operas convey details about motivation and character through colorful masks. Her research reveals recurring archetypes and facial features, similar to those found in jumping spiders, which use pattern and color to communicate species, sex, and romantic intentions.
David Mandrus, a UT professor and Oak Ridge National Laboratory researcher, has received a five-year $1.7 million award to pursue research on quantum materials and their unique properties. The Gordon and Betty Moore Foundation acknowledges Mandrus's significant contributions to the field of materials science.
New research uses physiological cues, specifically heart rate analysis, to discern between natural humans and computer-generated faces. By extracting pulse-rate signals from video sequences, the authors can classify input faces as either CG or NAT.
A recent study published in the Journal of New Music Research reveals that people's dance styles are almost always the same, regardless of music genre. The researchers used motion capture technology to analyze participants' movements and found that computers could identify individuals with an astonishing 94% accuracy.
Researchers at Aarhus University used AlphaZero to control a quantum system, demonstrating its applicability to three different problems. The algorithm learned to exploit an underlying symmetry of the problem, surprising the team with its ability.
Scientists created artificial organisms by combining contractile and passive tissues, achieving high-performing candidates that matched predicted behaviors. The developed method can be applied to designing living machines for various applications.
A new open-source software framework simulates genetic diversity in tumour samples and evaluates the accuracy of computer prediction algorithms. The tool provides a benchmarking approach for clinicians to make informed decisions about treatment options, helping them match patients with personalized medicines more effectively.
Kun Sun and Sushil Jajodia's Center for Secure Information Systems (CSIS) at George Mason University received a $50,000 grant to develop a security analysis toolset. The project aims to provide abuse prevention and malware detection solutions for high-performance computers.
Researchers at Duke University developed a new method to identify objects using microwaves that improves accuracy while reducing computing time and power requirements. The system uses machine-learning approach to jointly determine optimal hardware settings, cutting out the need for image analysis by humans.
A recent OSU study assesses virtual reality movements' effects on muscle strain and discomfort, focusing on neck and shoulder movements. The study recommends placing objects closer to the body and at eye level to minimize user discomfort.
Researchers at Oak Ridge National Laboratory have developed a quantum chemistry simulation benchmark to evaluate the performance of quantum devices. The benchmark characterizes the 'mixed state' of how the environment and machine interact, providing insight into systematic error mitigation in current quantum hardware. This work aims to...
Researchers used high-speed cameras and computer algorithms to analyze the movements of larval zebrafish, identifying three distinct components of their prey capture behavior: orientation, approach, and capture. The study provides new insights into how the brain generates complex behaviors.
SHAPEIT4 is a powerful computer tool that allows researchers to quickly identify haplotypes in hundreds of thousands of unrelated individuals. This enables the analysis of complex traits and disease risk with unprecedented accuracy.
A study by the University of Plymouth found inconsistent and misleading advice from popular password meters, potentially putting users at risk. The research tested 16 password meters and found that some would not flag weak passwords, such as 'abc123' or 'qwertyuiop', despite being among the worst passwords of 2019.
Researchers are creating a machine translation program for web browsers like Mozilla Firefox, focusing on improving translation quality and ensuring user privacy. The project involves adapting the engine to context, recognizing nuances in language style, and estimating translation quality.
Scientists from Skoltech ADASE lab have developed a method to enhance depth map resolution, enabling more realistic virtual reality and computer graphics. The new approach leverages human perception to assess reconstruction quality, outperforming existing methods in visual quality.
Researchers at the University of Waterloo have developed a battery-free device called Tip-Tap that allows users to navigate computers using only their fingertips. The device uses radio frequency identification tags and can be integrated into gloves or attached directly to the skin as a temporary tattoo.
A study by researchers at the University of Montreal found that adolescents who spent more time on social media, television, and computers experienced increased anxiety symptoms. Decreasing screen time was linked to reduced anxiety. The study suggests limiting screen time may be a way to help teens manage anxiety.
Researchers at the University of Münster have discovered a way to suppress nonlinear damping in spin waves, allowing for efficient generation and control of spin waves in magnetic nano-devices. This breakthrough could lead to significant advancements in magnonics and spintronics.
Researchers at Stevens Institute of Technology have completed the first census of Wikipedia's 1,601 bots, shedding light on their functions and interactions with human users. The study found that bots play nine core roles, including fixers, connectors, and protectors, which together account for about 10% of all activity on the site.
Google's Relightables system allows users to record someone then view them from any viewpoint and lighting condition, removing the need for a green screen. The system captures reflectance information on a person and records while they are moving freely within the volume, enabling relighting in arbitrary environments.
Levis & Elder are developing conceptual models to investigate the degree of deterrence and explore the impact of mutual understanding among actors. They aim to refine experimental design and analyze sensitivity to model inputs in computational experiments.
Computer scientists at the University of Leeds are developing a robotic autonomy system that combines automated planning with reinforcement learning. The robot learns to plan sequences of moves to reach objects in cluttered spaces, generalizing its abilities to new tasks.
The Utah Bionic Leg, developed by the University of Utah, enables amputees to walk with more power and better balance. The prosthetic limb features sensors, motors, a computer processor, and artificial intelligence that work together to provide assistance during walking and other activities.
Physicists demonstrate electrically readable antiferromagnetic materials for ultra-fast logic applications. Antiferromagnets show superior properties over ferromagnets.