Results 71 to 80 of about 163,724 (263)
Model‐Based Time‐Modulated Write Algorithm for 1R Analog Memristive Crossbar Arrays
Advanced Electronic Materials, EarlyView.A novel model‐based time‐modulated write algorithm efficiently programs analog 1R memristive crossbar arrays by varying pulse duration at a fixed voltage. By leveraging a physics‐based compact model and a dynamic gain mechanism, this approach overcomes device nonlinearities and parasitic effects.
Richard Schroedter +7 more
wiley +1 more source
Exploring Application Performance on Emerging Hybrid-Memory Supercomputers
, 2017 Next-generation supercomputers will feature more hierarchical and heterogeneous memory systems with different memory technologies working side-by-side.
Gioiosa, Roberto +4 more
core +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Discover ComputingLearning is crucial for the brain’s ability to adapt to changing conditions. We suggest a collection of novel neuromorphic construction circuits, adjustable synapse circuits, and CMOS Spike Based Driven Synaptic Plasticity (CSBDSP) erudition algorithm ...
Joshika Sharma +2 more
doaj +1 more source
Agribusiness, EarlyView.ABSTRACT The US hemp market is a new and nascent industry that has been devoid of research for about half a century. This study examined the effects of exogenous shock on price at each phase of the value chain—Farm (hemp biomass), and its impact on prices at other phases of the value chain—Intermediary Processor (crude cannabidiol hemp) and Final ...
Solomon Odiase +2 more
wiley +1 more source
IEEE Journal of the Electron Devices Society, 2018 Neuromorphic computing embraces the “device history” offered by many analog non-volatile memory (NVM) devices to implement the small weight changes computed by a gradient-descent learning algorithm such as backpropagation. Deterministic and
Alessandro Fumarola +8 more
doaj +1 more source
Fine-Grain Checkpointing with In-Cache-Line Logging
, 2019 Non-Volatile Memory offers the possibility of implementing high-performance, durable data structures. However, achieving performance comparable to well-designed data structures in non-persistent (transient) memory is difficult, primarily because of the ...
Aksun, David T. +3 more
core +1 more source
AIChE Journal, EarlyView.Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur +3 more
wiley +1 more source
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines [PDF]
, 2010 Large-capacity Content Addressable Memory (CAM) is a key element in a wide variety of applications. The inevitable complexities of scaling MOS transistors introduce a major challenge in the realization of such systems.
Derek Abbott +6 more
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