Articles tagged with Data Storage
A joint research team has proposed a method for densely storing data using a sharp probe, enabling polarization switching with minimal force. The result shows a significant increase in storage capacity, reaching up to 1 terabit per square centimeter.
Researchers from Singapore University of Technology and Design (SUTD) have developed a new Brain-Inspired Replay model that enables continual learning in edge computing systems without storing data. This approach achieves state-of-the-art accuracy and high energy efficiency, overcoming the stability-plasticity issue in traditional models.
Researchers have successfully achieved efficient spin injection and transport in antiferromagnetic hybrids, paving the way for room-temperature spintronics devices. The study, led by Igor Barsukov at UC Riverside, shows promise for ultra-fast and energy-efficient information storage and processing.
Researchers have found that the arrangement of spinning electrons, not a weak external magnetic field, causes the Hall effect in Weyl antiferromagnets. This discovery has implications for next-generation memory storage devices using ferromagnets and antiferromagnets.
Researchers at Rice University have developed cells that can store and process information similar to computer RAM. The cells will be programmed to synthesize redox-active molecules that carry information to and from the outside world, allowing for quick read and write capabilities.
Researchers at Pohang University of Science & Technology developed a novel flash memory technology that increases data storage capacity and reliability through artificial defect generation. The new platform can distinguish eight data levels, making it suitable for neuromorphic computing and improving inference accuracy.
Researchers at Johannes Gutenberg University Mainz are investigating the dynamics of spin structures, including the pinning effects of skyrmions on thin films. The study reveals that skyrmions get stuck in
Scientists at the University of Oxford have created a new type of computing processor that uses light to process information, achieving speeds faster than traditional electronics. By leveraging multiple polarisation channels, the researchers increased computing density by several orders of magnitude, paving the way for more efficient p...
Scientists at Max Born Institute demonstrate ultrafast emergence of all-optical switching by generating a nanometer-scale grating through interference of two pulses in the extreme ultraviolet spectral range. The researchers identify an intensity ratio as a fingerprint observable for AOS in diffraction experiments.
FeRh, a metal with antiferromagnetic and ferromagnetic phases, has its phase transition kinetics measured using ultrafast techniques. The study reveals new insights into the ultrafast dynamics of magnetic materials.
A SUTD study has uncovered the reservoir filling strategies and operating rules of China's big hydropower dams on the Lancang-Mekong river. The data shows that dam operations remained steady during a severe drought, indicating no need for emergency releases to mitigate its impact.
Researchers have developed a coating material that can be written on using UV light and erased again using oxygen, enabling reusable/rewritable surfaces in various applications. The material exhibits high contrast and stability, with up to 50 write-erase cycles possible without notable loss of contrast.
A new time-resolved instrument measures circular dichroism changes in fractions of a picosecond, enabling the capture of photoexcited molecules' chirality and conformational motion. This resolves the deactivation mechanism of iron-based spin-crossover complexes, crucial for magnetic data storage.
Scientists have developed a new method of recording data using light on silicon waveguides, enabling non-volatile and high-performance magneto-optical memories. This breakthrough could lead to all-optical alternatives in telecommunications infrastructure and applications in optical computing.
Scientists have developed a machine learning algorithm that can accurately predict the lifetimes of different battery chemistries using as little as a single cycle of experimental data. The technique could reduce costs and accelerate the development of new battery materials, enabling researchers to quickly evaluate and test multiple ma...
Researchers at INRS have developed a new method to study the spin dynamics inside rare earth materials, promising for spintronic devices. The breakthrough uses a tabletop ultrafast soft X-ray microscope to spatio-temporally resolve spin dynamics.
Researchers have developed a new encryption technique that leverages hardware and software to improve file system security for next-generation non-volatile memories. This approach allows for faster performance than existing software security technologies, making it suitable for large data centers and cloud systems.
Researchers have developed a novel approach to improve thermal energy storage by decoupling energy density and power density using pressure-enhanced close contact melting. This method has demonstrated efficacy in achieving high power and energy density, making it suitable for demanding applications like electric vehicles and data centers.
A team of researchers has developed a DNA-based data storage platform with an expanded molecular alphabet, enabling the storage of vast amounts of digital information. The new system uses nanopores to distinguish between natural and chemically modified nucleotides, increasing storage density and sustainability.
A novel 'double lock' system uses thermoresponsive polymer hydrogels to encrypt information, readable only at specific temperature and time windows. The system combines physical methods for decoding, increasing security while maintaining simplicity.
A novel ferroelectric tunnel junction (FTJ) synapse based on Ag/PbZr0.52Ti0.48O3(PZT, (111)-oriented)/Nb:SrTiO3 demonstrated 256 conductance states with satisfactory linearity and stability. The ON/OFF ratio was as high as 200, and an endurance of up to 10^9 cycles was achieved.
A study by Arizona State University shows that certain proteins can act as efficient electrical conductors, outperforming DNA-based nanowires in conductance. The protein nanowires display better performance over long distances, enabling potential applications for medical sensing and diagnostics.
A study published in Big Data & Society urges governments to limit the use of COVID-19 certificates to the current pandemic, citing concerns over data privacy and human rights. The research recommends introducing 'sunset clauses' into relevant legislation to set a clear expiry date for the passes.
Cidon's new software framework, XRP, aims to speed up cloud computing by offloading storage functions to the operating system. The project expects to more than halve computation and energy needed for common storage operations on fast storage devices.
Researchers from SUTD and A*STAR IMRE demonstrate the use of chalcogenide nanostructures to reversibly tune Mie resonances in the visible spectrum, paving the way for high resolution colour displays. The technology relies on phase change materials, including antimony trisulphide nanoparticles.
Researchers discovered a new method to control spin-lattice interaction with ultrashort terahertz pulses, potentially revolutionizing ultrafast data processing and storage. This breakthrough could address the growing energy demands of data storage centers.
Researchers have successfully demonstrated ULTRARAM¼trade mark computer memory on silicon wafers for the first time, combining non-volatility with speed and energy-efficiency. The technology outperforms previous incarnations, offering data storage times of at least 1000 years and fast switching speeds.
Researchers at Lawrence Berkeley National Laboratory developed a method to stabilize graphene nanoribbons and directly measure their unique magnetic properties. By substituting nitrogen atoms along the zigzag edges, they can discretely tune the local electronic structure without disrupting the magnetic properties.
The project aims to decorate DNA sequences with colourful nano-lights to enable faster read/write processes and novel data encoding concepts. By using unique recognition capabilities of single DNA strands, the consortium plans to develop novel nanomaterials, algorithms, and reader devices for efficient data storage.
Researchers created 3D DNA-like structures using advanced 3D printing and microscopy, discovering nanoscale topological textures in the magnetic field. This breakthrough enables control over magnetic forces on the nanoscale, promising new possibilities for particle trapping, imaging techniques, and smart materials.
Researchers at Ohio State University discovered a new zoo of magnetic patterns that can store big data in a small space, using a material called manganese germanide. The discovery could lead to next-generation data storage with increased energy efficiency.
The MDI Biological Laboratory has been awarded a grant to promote cloud computing among researchers in Maine, aiming to level the playing field by providing access to sophisticated computing resources. The program will provide training on Google Cloud Platform and assist institutions in implementing cloud computing services.
Researchers from Pusan National University have developed an algorithm to restore missing data in event logs, improving restoration accuracy by 10-30% compared to existing algorithms. The high accuracy of the new algorithm ensures its widespread application in industries and potential improvements in AI technologies.
Researchers have developed a novel data storage method using mixtures of fluorescent dyes, which can store binary information at high density with fast read/write speeds. The technique encodes sequences of 0s and 1s into dye molecules, allowing for the storage of digital information for thousands of years or longer.
A Harvard research team has created a new method of storing digital information using mixtures of fluorescent dyes, which can potentially store data for thousands of years or more. The technique uses inkjet printing and fluorescence microscopy to encode and decode binary messages in the dye molecules.
Researchers develop a new method to perform logic operations more efficiently and reliably using magnonics. Nanostructured antiferromagnetic wires are well-suited for this purpose, enabling quick and low-energy computation.
A team of researchers at Aarhus University aims to develop an optical sensor using terahertz light to decode the direction of tiny magnetic 'tornadoes' called skyrmions. Skyrmions offer a promising candidate for future bits in computer technology, requiring less power and generating less heat than current methods.
The study explores chromium oxides, magnetic compounds used in old tapes, and finds that adding oxygen atoms increases metallic properties. This allows for precise control over electrical conductance, enabling the design of molecular-sized components with vast processing and storage capacities.
Researchers at Stanford University have overcome a key obstacle in phase-change memory technology, enabling faster and more energy-efficient data storage. By using a thermally insulating flexible substrate, they reduced power consumption by a factor of 10 on flexible substrates and 100 on rigid silicon.
Researchers have identified a new family of ferroelectric materials, including magnesium-substituted zinc oxide, that can be used for low-energy digital storage. These materials have the potential to revolutionize information and energy storage, offering improved performance and reduced power consumption.
Researchers developed a new memory device that uses perovskite to store and visually transmit data, achieving parallel and synchronous reading of data through electrical and optical methods. The device has the potential for numerous applications in next-generation technologies.
Researchers have discovered a way to induce magnetic waves in antiferromagnets using ultrafast laser pulses, potentially leading to faster and more efficient data storage. This technology could endow materials with new functionalities for energy-efficient and ultrafast data storage applications.
A new study by Newcastle University researchers has developed dynamic DNA data structures that can store and retrieve information in an ordered way. The study presents an in vitro implementation of a stack data structure using DNA polymers, which stores and retrieves information in a last-in-first-out order.
The EU-funded ADMIRE project aims to develop intelligent adaptive storage systems for high-performance computing, improving application runtime and data access. Fourteen institutions from six European countries are working together to create a scalable and efficient system that can meet the needs of data-intensive applications.
Researchers at North Carolina State University have developed a technique that allows users to preview stored DNA data files, such as image thumbnails. This innovation improves the efficiency and user experience of DNA data storage, enabling users to identify specific files without opening the entire file.
Researchers at MIT have developed a technique to label and retrieve DNA data files from a large pool, enabling feasible DNA data storage. By encapsulating each file in a silica particle labeled with single-stranded DNA barcodes, they demonstrated accurate retrieval of individual images stored as DNA sequences.
A team of researchers has successfully controlled the magnetic state of two-dimensional van der Waals magnets using light, enabling efficient data storage and fast data processing. By inducing 'magnetic anisotropy' with ultrashort pulses of light, the scientists can manipulate the material's magnetic properties on demand.
A RUDN mathematician has developed an algorithm that allows for the optimal distribution of computing tasks between IoT devices and the cloud, resulting in a reduction of power and time costs by about three times. The algorithm also protects devices from malware during data transmission.
Researchers at MIT have found a way to control antiferromagnetic switching in neodymium nickelate, enabling potentially faster and more secure data storage. The discovery could lead to new types of memory devices using antiferromagnets.
A team of researchers has discovered the dynamics of polar vortices in ferroelectric materials, which can be manipulated with light pulses and controlled at nanosecond timescales. This new research may lead to the development of faster data processing and storage devices.
Researchers developed a classification algorithm that uses orchard data to predict internal browning, surface cavities and fruit firmness in apples with high accuracy. The method shows promise for improving yield and reducing losses in the fruit industry.
A team of researchers at TUM developed a new early warning system for self-driving cars using artificial intelligence to learn from thousands of real traffic situations. The system can predict potentially critical situations with over 85% accuracy, up to seven seconds in advance.
Researchers developed an antiferromagnetic semiconductor in a nanowire, overcoming ferromagnetic material limitations. This design enables ultrahigh-density data packing and potential applications in smaller, smarter electronics.
Professor Sam H. Noh, a prominent scientist at UNIST, has been elected as a 2020 ACM Fellow for his groundbreaking work in system software and data storage technology. This recognition is the first for a Korean university scientist and honors his contributions to advancing the field of computing.
The development of sub-diffraction optical writing overcomes the limitation of diffractive light, enabling a much-improved data density. The technology achieves an estimated storage capacity of 700 TB on a 12-cm optical disk, comparable to 28,000 Blu-ray disks.
A new production method developed by physicists at Martin Luther University Halle-Wittenberg enables the transfer of crystalline microstructures to any material, advancing the production of smaller, faster, and more energy-efficient components. The method has potential applications in spintronics, magnonics, and hybrid components.
Researchers developed a concept for a new storage medium based on antiferromagnetic materials, which can store binary values (0 or 1) through controlled manipulation of domain walls. The proposed method could potentially replace conventional ferromagnetic systems with faster and more energy-efficient data processing.
A team of Stanford researchers has designed a system that can run AI tasks faster and with less energy by harnessing eight hybrid chips, each with its own data processor built right next to its own memory storage. The Illusion System integrates the chips into one energy-efficient AI-processing engine.
Researchers developed a new approach using light-based processors to accelerate matrix-vector multiplications in neural networks. The photonic chips achieve parallel calculations using multiple wavelengths of light, enabling complex mathematical tasks to be processed at high speeds and throughputs.
A California survey study found a strong association between the COVID-19 pandemic and increased self-reported worry about violence for oneself and others. The study also reported changes in firearm acquisition and storage practices, highlighting public concern during this time.