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In existing systems, the off-chip memory interface allows the memory controller to perform only read or write operations. Therefore, to perform any operation, the processor must first read the source data and then write the result back to…

Hardware Architecture · Computer Science 2016-11-01 Vivek Seshadri , Onur Mutlu

In this paper, we introduce variational semantic memory into meta-learning to acquire long-term knowledge for few-shot learning. The variational semantic memory accrues and stores semantic information for the probabilistic inference of…

Machine Learning · Computer Science 2021-07-16 Xiantong Zhen , Yingjun Du , Huan Xiong , Qiang Qiu , Cees G. M. Snoek , Ling Shao

We propose a novel deep visual odometry (VO) method that considers global information by selecting memory and refining poses. Existing learning-based methods take the VO task as a pure tracking problem via recovering camera poses from image…

Robotics · Computer Science 2020-08-05 Fei Xue , Xin Wang , Junqiu Wang , Hongbin Zha

A new protocol of the optical quantum memory based on the resonant interactions of the multi atomic system with a cavity light mode is proposed. The quantum memory is realized using a controllable inversion of the inhomogeneous broadening…

Quantum Physics · Physics 2007-05-23 S. A. Moiseev

Neuron models of associative memory provide a new and prospective technology for reliable date storage and patterns recognition. However, even when the patterns are uncorrelated, the efficiency of most known models of associative memory is…

Disordered Systems and Neural Networks · Physics 2007-05-23 B. V. Kryzhanovsky , L. B. Litinskii , A. Fonarev

Solid-state memory is an essential component of the digital age. With advancements in healthcare technology and the Internet of Things (IoT), the demand for ultra-dense, ultra-low-power memory is increasing. In this review, we present a…

Emerging Technologies · Computer Science 2016-06-28 Mohamed T. Ghoneim , Muhammad M. Hussain

It is well known that modern functional programming languages are naturally amenable to parallel programming. Achieving efficient parallelism using functional languages, however, remains difficult. Perhaps the most important reason for this…

Programming Languages · Computer Science 2018-02-20 Adrien Guatto , Sam Westrick , Ram Raghunathan , Umut Acar , Matthew Fluet

The rapid advancements in machine learning across numerous industries have amplified the demand for extensive matrix-vector multiplication operations, thereby challenging the capacities of traditional von Neumann computing architectures. To…

A computer's clock rate ultimately determines the minimum time between sequential operations or instructions. Despite exponential advances in electronic computer performance owing to Moore's Law and increasingly parallel system…

Future communication systems are faced with increased demand for high capacity, dynamic bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have become more complex and thus require new design methods and…

Machine Learning · Computer Science 2021-08-16 Dativa K. Tizikara , Jonathan Serugunda , Andrew Katumba

We demonstrate a memory for light based on optomechanically induced transparency. We achieve a long storage time by leveraging the ultra-low dissipation of a soft-clamped mechanical membrane resonator, which oscillates at MHz frequencies.…

Quantum Physics · Physics 2023-08-11 Mads Bjerregaard Kristensen , Nenad Kralj , Eric Langman , Albert Schliesser

The conventional von Neumann architecture has been revealed as a major performance and energy bottleneck for rising data-intensive applications. %, due to the intensive data movements. The decade-old idea of leveraging in-memory processing…

Hardware Architecture · Computer Science 2019-06-18 Bing Li , Bonan Yan , Hai , Li

There has been a resurgence of interest in optical computing over the past decade, both in academia and in industry, with much of the excitement centered around special-purpose optical computers for neural-network processing. Optical…

Optics · Physics 2023-10-10 Peter L. McMahon

Non-volatile memory (NVM) is an emerging technology, which has the persistence characteristics of large capacity storage devices(e.g., HDDs and SSDs), while providing the low access latency and byte-addressablity of traditional DRAM memory.…

Databases · Computer Science 2020-05-18 Yinjun Wu , Kwanghyun Park , Rathijit Sen , Brian Kroth , Jaeyoung Do

It is shown that matter solitons can be effectively managed by means of smooth variations of parameters of optical lattices in which the condensate is loaded. The phenomenon is based on the effect of lattice modulations on the carrier wave…

Soft Condensed Matter · Physics 2009-11-10 V. A. Brazhnyi , V. V. Konotop , V. Kuzmiak

Humans navigate unfamiliar environments using episodic simulation and episodic memory, which facilitate a deeper understanding of the complex relationships between environments and objects. Developing an imaginative memory system inspired…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Yiyuan Pan , Yunzhe Xu , Zhe Liu , Hesheng Wang

Non-volatile memory (NVM), also known as persistent memory, is an emerging paradigm for memory that preserves its contents even after power loss. NVM is widely expected to become ubiquitous, and hardware architectures are already providing…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-22 Eleni Bila , John Derrick , Simon Doherty , Brijesh Dongol , Gerhard Schellhorn , Heike Wehrheim

Optical memory effects are well-known types of amplitude-domain wave correlation enabling control over light scattered through diffusive materials or multimode fibers. In this letter, we report the phenomenon of random polarization memory…

Optics · Physics 2025-09-09 Gauri Arora , Lyubov V. Amitonova

Solids are rigid, which means that when left undisturbed, their structures are nearly static. It follows that these structures depend on history -- but it is surprising that they hold readable memories of past events. Here we review the…

Soft Condensed Matter · Physics 2025-02-11 Joseph D. Paulsen , Nathan C. Keim

Metal halide perovskite-based materials have emerged over the past few decades as remarkable solution-processable opto-electronic materials with many intriguing properties and potential applications. These emerging materials have recently…

Applied Physics · Physics 2023-03-07 Gaurav Vats , Brett Hodges , Andrew J. Ferguson , Lance Wheeler , Jeffrey L. Blackburn