Research on computing hardware and its future. Covers quantum error-correction, cyber defense, novel materials, and AI frameworks.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.