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Adaptive spatial-temporal information processing based on in-memory attention-inspired devices

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Publicado en:Nature Communications vol. 16, no. 1 (2025), p. 7449-7459
Autor principal: Pan, Jiong
Otros Autores: Wu, Fan, Qian, Kangan, Jiang, Kun, Liu, Yanming, Wang, Zeda, Guo, Pengwen, Yin, Jiaju, Yang, Diange, Tian, He, Yang, Yi, Ren, Tian-Ling
Publicado:
Nature Publishing Group
Materias:
Computation
Artificial intelligence
Data processing
Computer architecture
Environmental changes
Brain
Attention
Data transmission
Spatial discrimination
Energy conservation
Transistors
Energy consumption
Transmission electron microscopy
Spectrum analysis
Molybdenum disulfide
Spatial memory
Chemical vapor deposition
Memory devices
Information processing
Motion detection
Resource consumption
Latency
Interfaces
Environmental
Acceso en línea:Citation/Abstract
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Resumen:Spatial-temporal information perception is widely used for motion processing in dynamic scenes, but present technology requires relatively huge hardware resource consumption. The attention mechanism helps the human brain extract required information from tremendous data at a low cost. Here, we propose an attention-inspired artificial intelligence architecture based on hetero-dimensional modulations between zero-dimensional contact and two-dimensional electrostatic interfaces. An adaptive spatial-temporal information processing primitive is successfully implemented based on in-memory analog computing. Experiments of attention adjustments responding to different situations validate the adaptation capability to environmental changes. A demonstration of 5×5-unit data stream processing is conducted, and intensities of spatial and temporal information are varied with attention distribution from 0% to 100%. The attention-inspired device is applied to autonomous driving edge intelligence scenarios, showing high adaptability to traffic scene variations. The proposed architecture exhibits a tens-fold latency reduction, hundreds-fold area improvement, and thousands-fold energy saving compared to the conventional transistor-based circuit.Pan et al. report an attention-inspired architecture for adaptive spatial-temporal information processing based on 0D-2D hetero-dimensional interface between MoS2 and Ag filament. Wafer-scale device array is prepared for in-memory analog computing and applied to autonomous driving edge intelligence scenarios.
ISSN:2041-1723
DOI:10.1038/s41467-025-62868-7
Fuente:Health & Medical Collection