Results 11 to 20 of about 120,811,929 (257)

Advances in Infrared Detectors for In-Memory Sensing and Computing

open access: yesPhotonics
In-memory sensing and computing devices integrate the functionalities of sensors, memory, and processors, offering advantages such as low power consumption, high bandwidth, and zero latency, making them particularly suitable for simulating synaptic ...
Weibo Feng, Tianling Qin, Xin Tang
doaj   +2 more sources

Towards memory supporting personal information management tools [PDF]

open access: yes, 2007
In this article we discuss re-retrieving personal information objects and relate the task to recovering from lapse(s) in memory. We propose that fundamentally it is lapses in memory that impede users from successfully re-finding the information they need.
Ruthven, I.   +7 more
core   +4 more sources

Computing in matrix groups without memory [PDF]

open access: yes, 2013
Funding: UK Engineering and Physical Sciences Research Council award EP/K033956/1Memoryless computation is a novel means of computing any function of a set of registers by updating one register at a time while using no memory.
Maximilien Gadouleau   +11 more
core   +4 more sources

An Efficient and Robust Partial Differential Equation Solver by Flash-Based Computing in Memory

open access: yesMicromachines, 2023
Flash memory-based computing-in-memory (CIM) architectures have gained popularity due to their remarkable performance in various computation tasks of data processing, including machine learning, neuron networks, and scientific calculations. Especially in
Yueran Qi   +10 more
doaj   +1 more source

Architecture of Computing System based on Chiplet

open access: yesMicromachines, 2022
Computing systems are widely used in medical diagnosis, climate prediction, autonomous vehicles, etc. As the key part of electronics, the performance of computing systems is crucial in the intellectualization of the equipment.
Guangbao Shan   +5 more
doaj   +1 more source

Bayesian In-Memory Computing with Resistive Memories

open access: yes, 2023
International audienceThis paper explores three approaches using resistive memory for Bayesian near-memory and in-memory computing, leveraging their inherent randomness.
Droulez, J   +15 more
core   +1 more source

COSMO: Computing with Stochastic Numbers in Memory

open access: yes, 2022
Stochastic computing (SC) reduces the complexity of computation by representing numbers with long streams of independent bits. However, increasing performance in SC comes with either an increase in area or a loss in accuracy.
Rosing, Tajana Simunic   +15 more
core   +1 more source

Multifunctional computing-in-memory SRAM cells based on two-surface-channel MoS2 transistors

open access: yesiScience, 2021
Summary: Driven by technologies such as machine learning, artificial intelligence, and internet of things, the energy efficiency and throughput limitations of the von Neumann architecture are becoming more and more serious.
Fan Wang   +7 more
doaj   +1 more source

An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning

open access: yesApplied Sciences, 2022
AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size.
Elger A. Vlieg   +4 more
doaj   +1 more source

IN-MEMORY COMPUTING [PDF]

open access: yes, 2019
In-memory computing is the storage of information in the main random access memory (RAM) of servers rather than in databases operating on comparatively slow disk drives.
Adebowale E. Shadare   +2 more
core   +1 more source

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