Articles tagged with Computer Memory
Researchers create textile-based pneumatic computers capable of digital logic, onboard memory, and user interaction. The technology aims to assist people with functional limitations in daily tasks without electricity.
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.
Scientists have successfully switched the state of a bit in memory using spin-orbit torque switching in antiferromagnetic material Mn3Sn, promising faster and more efficient devices. This breakthrough could lead to radical improvements in performance compared to current electronic devices.
Scientists have found a new phenomenon where an atomic switch has to be switched back and forth four times to return to its original state. The spin of gadolinium atoms performs one full rotation during this process. This discovery opens up possibilities for material physics and could potentially be used to store information.
Researchers at MIT identified a flawed analysis of website-fingerprinting attacks and developed new techniques to prevent them. They found that attackers can use machine-learning algorithms to decode signals leaked between software programs, enabling them to obtain private information.
Researchers have developed a method using nanomagnets to perform artificial intelligence, slashing energy costs and offering huge efficiency gains. The technology uses 'nanomagnetic states' to process and store data, cutting out the need for software simulation.
A new method reduces computational complexity of traffic models, making them operate more efficiently. The modified algorithm breaks down complex forecasting questions into smaller problems that can be solved in parallel, significantly reducing run time. This approach also allows for a good enough solution within an error bar, rather t...
The discovery could lead to more compact computer memories and efficient technical components. Researchers used ultrafast laser pulses to create magnetic skyrmions, a type of swirling magnetism.
A new magneto-electric transistor has been developed by researchers at the University of Nebraska-Lincoln and the University at Buffalo. The design can reduce energy consumption by up to 75% and retain memory in event of power loss, making it a promising alternative to silicon-based transistors.
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 developed a new reading method for SOT-RAMs that can nullify the readout disturbance, reducing it by at least 10 times. The method involves creating a bi-directional read path, cancelling out the disturbances produced by spin currents.
Researchers at Argonne National Laboratory discovered how microparticles can change direction when an electric stimulus is interrupted and reapplied with the same orientation. This emergent behavior has potential applications in microfluidic pumps for biomedical, chemical, and electronics applications.
Researchers at KTH Royal Institute of Technology and Stanford University have developed a material that enables the commercial viability of neuromorphic computers mimicking the human brain. The material, MXene, combines high speed, temperature stability, and integration compatibility in a single device.
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.
Washington University researchers have designed a new processing-in-memory (PIM) circuit that can increase PIM computing's performance by orders of magnitude. The circuit uses resistive random-access memory PIM, allowing for analog computations and eliminating the need for digital conversions.
A team of researchers from Georgia Tech has discovered that zirconium dioxide antiferroelectric material exhibits predictable behavior when miniaturized, following a familiar law similar to ferroelectrics. This finding could lead to the design of more effective memory components and has implications beyond memory applications.
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.
Lehigh University researcher Roberto Palmieri aims to make RDMA technology even faster by revisiting a long-held theory. His goal is to enable all machines to interact with local memory, reducing latency and improving performance.
Columbia Engineering researchers have developed new techniques to bolster memory safety, creating a processor for the Air Force Research Lab. The novel solution, ZeRØ, protects code and data pointers without affecting system performance, while No-FAT speeds up fuzz testing and makes security checks faster with minimal impact on speed.
Researchers from Carnegie Mellon University developed Segcache, a system that improves cache efficiency by up to 60% by grouping similar items and removing expired ones. The system was tested on Twitter's production system and has been incorporated into its infrastructure.
Thicker electrodes with greater surface roughness improve resistance switching memory cell characteristics. The study found that such electrodes reduce forming and switching voltages, increase endurance to 50 million cycles, and enhance device performance.
A recent study reveals a new magnetic state called skyrmion, which can be manipulated using electric fields to create more compact and efficient nanomagnetic devices. This breakthrough could lead to significant improvements in computer performance and reduce energy consumption.
Researchers at RIKEN Center for Emergent Matter Science successfully manipulated and tracked individual skyrmions, moving them using a small electric current. The breakthrough could lead to the development of more energy-efficient racetrack memory and neuromorphic computing devices.
The study found that skyrmions move more efficiently at higher temperatures and their trajectories only depend on the speed of the skyrmions, making device design significantly easier. Billionfold reproducible motion of skyrmions was also observed in thin films of magnetic material stabilizing them at room temperature.
A research group led by Emery Berger has developed Mesh, a system that can automatically reduce memory demands in applications. By taking advantage of virtual memory hardware, Mesh effectively squeezes out memory gaps, resulting in significant reductions of up to 40% in memory usage for certain applications.
Adegbija's research focuses on designing STTRAM caches that can dynamically adapt to different running programs, reducing energy consumption by up to 84%. He will also collaborate with the STEM Learning Center to create activities for K-12 students and promote diversity in STEM fields
Researchers from Johannes Gutenberg University Mainz have made a groundbreaking discovery in thin film magnet interactions, revealing a new antisymmetric element that enables the creation of three-dimensional spin structures. These structures could lead to faster and more robust magnetic storage units with larger data capacities.
Researchers at MIT have developed a novel data-compression technique that leverages object-based compression to reduce memory usage and improve performance. The 'Zippads' technique compresses objects across the memory hierarchy, reducing memory consumption by half and improving computation speeds.
Researchers have demonstrated a new technique that can store more optical data in a smaller space than previously possible on-chip, improving upon the phase-change optical memory cell. The new approach enables storing information in 34 levels, equivalent to 5 bits, and could help meet the growing need for computer data storage.
Researchers at Purdue University have discovered a new material that can store and retrieve data quickly without consuming too much power. The material, molybdenum ditelluride, allows for faster switching between high and low resistance states, which can increase the rate of storing and retrieving information.
A new understanding of a phase-change material has been discovered, allowing for one thousand times faster data access and durability. The material can change state on a nanoscale, enabling high-speed non-volatile storage.
Researchers propose using transition metal dichalcogenides (TMDCs) to build faster computers that can process information in femtoseconds, a million times faster than current electronics. TMDCs have the potential to increase computer memory speed by a millionfold due to their unique hexagonal lattice structure and optical properties.
Song Jiang is working on a three-year grant to improve cache efficiency in software, allowing for faster data access and large memory usage. He aims to develop prototypes that can combine or skip steps to access data automatically without slowing CPU speeds.
PCRAM researchers review the development of phase change materials and propose a new understanding based on octahedral structure motifs and vacancies. This leads to decreased power consumption in phase transitions, enabling nanosecond or even sub-nanosecond operation.
Researchers at NUST MISIS developed a theory explaining how latent state formation occurs in layered tantalum disulfide, leading to ultra-fast memory capabilities. The material's nano-structural mosaics and charged vacancies contribute to its switching and memory effects.
A new system called Veil provides added protections for users in shared computing environments, ensuring data remains encrypted until displayed. The Veil system works by using a blinding server to transmit decrypted pages, making it harder for attackers to retrieve sensitive information.
Researchers developed ultra-thin memory storage device combining nanoscale memory and transistors, paving the way for advanced computing systems.
Researchers at the University of Minnesota demonstrate a new kind of magnetoresistance involving topological insulators, which could lead to improvements in future computing and computer storage. The discovery doubles magnetoresistance performance at 150 Kelvin compared to heavy metals.
Researchers developed a new cache-management scheme that improves the data rate of in-package DRAM caches, reducing metadata transfer and increasing bandwidth. The 'Banshee' system adds three bits of data to each entry, enabling efficient storage and retrieval of frequently used data.
Researchers at North Carolina State University have developed new software and hardware designs to improve the performance and reliability of non-volatile memory systems. The 'Proteus' system uses a flexible and fast approach to logging, reducing the need for additional code and preserving long-term memory reliability.
Researchers from Max Planck Institute have discovered anti-skyrmions, tiny magnetic objects that can store digital data in a new class of materials. These topologically protected magnetic walls could enable the development of Racetrack Memory with no moving parts.
Researchers from MIT's CSAIL have developed a new caching system that uses flash memory, reducing energy consumption by up to 90%. The system, dubbed BlueCache, achieves this through clever engineering tricks, including pipelining and the use of DRAM, while maintaining fast performance.
Researchers at MIT developed a system that allocates cache access on the fly to create tailored 'cache hierarchies' for specific programs, increasing processing speed by 20-30% and reducing energy consumption by 30-85%. The system, called Jenga, uses a sampling algorithm to efficiently evaluate tradeoffs between latency and space.
Researchers at Princeton University discovered over 100 errors in RISC-V instruction specification that could cause software running on chips to perform calculations using incorrect values. The findings highlight the importance of correcting these issues to ensure the reliability and safety of systems relying on RISC-V processors.
Researchers from the University of Exeter have developed ultrafast flexible memory devices using a hybrid of graphene oxide and titanium oxide. These innovative devices offer low-cost production, eco-friendliness and high capacity, paving the way for flexible electronic applications.
Researchers developed Bellmania, a system that enables non-experts to optimize dynamic programming algorithms for multicore chips. The system guarantees identical results with faster execution speeds, outperforming human programming in optimization tasks.
Scientists have found a way to significantly improve computer performance by using T-waves, or terahertz radiation, to reset memory cells. This process is several thousand times faster than magnetic-field-induced switching and could lead to ultrafast memory.
A team of Dutch hackers used a new attack technique called Flip Feng Shui (FSS) to alter the memory of virtual machines in the cloud without a software bug. This allows attackers to crack secured virtual machines or install malware undetected.
A new method of moving data in racetrack memory uses sound waves, overcoming limitations of traditional methods. The study, published in Applied Physics Letters, demonstrates the potential for faster computing by utilizing surface acoustic waves to transport data quickly and efficiently.
North Carolina State University researchers have developed two new techniques, MEMST and MeToo, to help optimize memory systems in computer chips. These techniques use performance cloning to assess the behavior of software without compromising privileged data or proprietary code.
Researchers have developed a new material with both electrical and magnetic order, promising lower energy consumption for computer memory technologies. This breakthrough design approach enables the synthesis and tuning of families of materials crucial for low-energy computing applications.
Researchers at MIT developed a new system that makes servers using flash memory as efficient as those using conventional RAM while preserving power and cost savings. The system uses preprocessed data on flash drives to improve distributed computation efficiency.
Researchers found that playing Tetris after reactivating traumatic memories reduces their occurrence over time. The study suggests a potential preventative treatment for PTSD by bringing back traumatic memories under controlled conditions.
Researchers at Argonne National Laboratory have successfully created magnetic skyrmion bubbles at room temperature, a breakthrough that could lead to more energy-efficient computer memory. The method uses a geometric structure to generate the bubbles, which can be moved using electric currents.
Researchers at UC San Diego have developed a new family of time-resolved numerical simulation methods that significantly increase the speed of complex fluid and plasma simulations. The breakthrough reduces memory usage, allowing for larger simulations to be considered.
A new study by UCLA psychologists found that almost none of their subjects could accurately draw the Apple logo from memory. Only one student correctly reproduced the logo on a blank sheet of paper.
Research suggests that saving previous information helps free up cognitive resources, improving memory for new information. By 'offloading' old data, individuals can allocate mental resources to learn and remember new material.
A new algorithm developed by ETH Zurich researchers enables smartphones to understand hand gestures, allowing users to control their devices with ease. The program recognizes six different gestures and executes corresponding commands, such as switching between browser tabs or scrolling pages.
Researchers at the University of Michigan have discovered that metal particles in memristors can migrate and form bridges between electrodes, allowing for more efficient chip design and potential advancements in memristor technology. The findings, published in Nature Communications, have broad implications for the semiconductor industry.
A research team in Japan has developed a spintronics-based technology that could replace volatile memory, enabling extremely energy-efficient devices powered by hand-crank or solar panels. The technology uses non-volatile function of advanced spin-transfer torque magnetoresistive random access memory (STT-MRAM) to create 'normally off'...