Adaptive spatial-temporal information processing based on in-memory attention-inspired devices
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| Publikašuvnnas: | Nature Communications vol. 16, no. 1 (2025), p. 7449-7459 |
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| Váldodahkki: | |
| Eará dahkkit: | , , , , , , , , , , |
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Nature Publishing Group
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| Liŋkkat: | Citation/Abstract Full Text Full Text - PDF |
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| 022 | |a 2041-1723 | ||
| 024 | 7 | |a 10.1038/s41467-025-62868-7 |2 doi | |
| 035 | |a 3238848428 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 145839 |2 nlm | ||
| 100 | 1 | |a Pan, Jiong |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 245 | 1 | |a Adaptive spatial-temporal information processing based on in-memory attention-inspired devices | |
| 260 | |b Nature Publishing Group |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Computation | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Data processing | ||
| 653 | |a Computer architecture | ||
| 653 | |a Environmental changes | ||
| 653 | |a Brain | ||
| 653 | |a Attention | ||
| 653 | |a Data transmission | ||
| 653 | |a Spatial discrimination | ||
| 653 | |a Energy conservation | ||
| 653 | |a Transistors | ||
| 653 | |a Energy consumption | ||
| 653 | |a Transmission electron microscopy | ||
| 653 | |a Spectrum analysis | ||
| 653 | |a Molybdenum disulfide | ||
| 653 | |a Spatial memory | ||
| 653 | |a Chemical vapor deposition | ||
| 653 | |a Memory devices | ||
| 653 | |a Information processing | ||
| 653 | |a Motion detection | ||
| 653 | |a Resource consumption | ||
| 653 | |a Latency | ||
| 653 | |a Interfaces | ||
| 653 | |a Environmental | ||
| 700 | 1 | |a Wu, Fan |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Shanghai Frontiers Science Research Base of Intelligent Optoelectronics and Perception, Institute of Optoelectronics, College of Future Information Technology, Fudan University, Shanghai, China (ROR: https://ror.org/013q1eq08) (GRID: grid.8547.e) (ISNI: 0000 0001 0125 2443) | |
| 700 | 1 | |a Qian, Kangan |u School of Vehicle and Mobility, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Jiang, Kun |u School of Vehicle and Mobility, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Liu, Yanming |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Wang, Zeda |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Guo, Pengwen |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Yin, Jiaju |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Yang, Diange |u School of Vehicle and Mobility, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); State Key Laboratory of Intelligent Green Vehicle and Mobility, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Tian, He |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Yang, Yi |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 700 | 1 | |a Ren, Tian-Ling |u School of Integrated Circuits, Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178); Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, China (ROR: https://ror.org/03cve4549) (GRID: grid.12527.33) (ISNI: 0000 0001 0662 3178) | |
| 773 | 0 | |t Nature Communications |g vol. 16, no. 1 (2025), p. 7449-7459 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
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