Process Automation Instrumentation, Volume. 46, Issue 8, 1(2025)
AI-Driven High-End Sensors:Technology Leap and Autonomous Paths
[1] [1] ZHANG M,LU C,LIU W,et al. Integrated micro sensor based on grating interferometer:a review [J]. IEEE Sensors Journal,2025,25(2):2 073-2 089.
[2] [2] WEI Y,NIU G,XUE Y,et al. Optical fiber vector magnetic field sensors based on magnetic fluid:a review [J]. IEEE Sensors Journal,2024,24(18):28 538-28 552.
[3] [3] SHYLENDRA S P,WAJRAK M,KANG J J. Advancements in solidstate metal pH sensors:a comprehensive review of metal oxides and nitrides for enhanced chemical sensing:a review [J]. IEEE Sensors Journal,2025,25(5):7 886-7 895.
[4] [4] ZHANG Y,YANG H,GAO W,et al. Research progress of optical dissolved oxygen sensors:a review [J]. IEEE Sensors Journal,2024,24(19):29 564-29 574.
[5] [5] DUTTA T,LLAMAS-GARRO I,VELZQUEZ-GONZLEZ J S,et al. A new generation of satellite sensors based on graphene and carbon nanotubes: a review [J]. IEEE Sensors Journal,2024,24(20):31 645-31 657.
[6] [6] PATIL A G,PRAMANICK B,MADHUKAR A. MOS-based gas sensors for monitoring of air pollution:a review[J]. IEEE Sensors Journal,2025,25(6):9 250-9 262.
[7] [7] LI Q,CAO Y,XU M,et al. Missile-borne infrared attitude measurement,interference compensation,and fusion estimation method:a review[J]. IEEE Sensors Journal,2024,24(24):40 313-40 328.
[8] [8] JUEZ J Y,MOUMANE H,NASSAR M,et al. Ear-EEG devices for the assessment of brain activity:a review[J]. IEEE Sensors Journal,2024,24(20):31 606-31 623.
[9] [9] LUO Y,LIU X F,LIU Z H,et al. One dimensional quantum dot array integrated with charge sensors in an InAs nanowire [J]. Nano Letters,2024,24(44):14 012-14 019.
[10] [10] LI L,ZHAO S,RAN W,et al. Dual sensing signal decoupling based on tellurium anisotropy for VR interaction and neuro-reflex system application[J]. Nature Communications,2022,13(1):5 975.
[11] [11] KUMAR P,S D,C L N,et al. Ultrasensitive pressure sensor based on an integrated circular piezoelectric MEMS resonator and diaphragm structure [J]. IEEE Sensors Letters,2023,7(12):1-4.
[12] [12] KAVUNGAL D,MAGALHES P,KUMAR S T,et al. Artificial intelligence-coupled plasmonic infrared sensor for detection of structural protein biomarkers in neurodegenerative diseases [J]. Science Advances,2023,9(28):9 644.
[13] [13] YANG H,DING S,WANG J,et al. Computational design of ultrarobust strain sensors for soft robot perception and autonomy[J]. Nature Communications,2024,15(1):1 636.
[14] [14] BAEK E,SONG S,BAEK C K,et al. Neuromorphic dendritic network computation with silent synapses for visual motion perception [J]. Nature Electronics,2024,7(6):454-465.
[15] [15] ZHOU Y,CHEN C,YAO J,et al. A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodules[J]. Digital Medicine,2025,8(1):126.
[16] [16] LI J,JIA H,ZHOU J,et al. Thin,soft,wearable system for continuous wireless monitoring of artery blood pressure[J]. Nature Communications,2023,14(1):5 009.
[17] [17] YOU Z. Academician you zheng:why it’ s important to focus on developing high-end sensor technology[J]. Instrumentation,2024,11(4):1-3.
[18] [18] SIKDER A K,PETRACCA G,AKSU H,et al. A survey on sensorbased threats and attacks to smart devices and applications [J]. IEEE Communications Surveys & Tutorials,2021,23(2):1 125-1 159.
[19] [19] LIU X,YU J,LI F,et al. Data aggregation in wireless sensor networks:from the perspective of security [J]. IEEE Internet of Things Journal,2020,7(7):6 495-6 513.
[20] [20] YANG W,LIN S,GONG W,et al. Single body-coupled fiber enables chipless textile electronics [J]. Science,2024,384(6 691):74-81.
[21] [21] SUN T,FENG B,HUO J,et al. Artificial intelligence meets flexible sensors:emerging smart flexible sensing systems driven by machine learning and artificial synapses [J]. Nano-Micro Letters,2023,16(1):14.
[22] [22] LIU S,QING W,ZHANG J,et al. Hierarchical rGO-based triboelectric sensors enable motion monitoring and trajectory tracking[J]. Advanced Functional Materials,2025,35:2 419 459.
[23] [23] YOU C,LI X,HU Y,et al. CMOS-compatible reconstructive spectrometers with self-referencing integrated fabry-perot resonators[J]. Proceedings of the National Academy of Sciences,2024,121(33):e2403950121.
[24] [24] EL KHEDIRI S,BENFRADJ A,THALJAOUI A,et al. Integration of artificial intelligence (AI) with sensor networks:trends,challenges,and future directions[J]. Journal of King Saud University-Computer and Information Sciences,2024,36(1):101 892.
[25] [25] SINATRA A. Entanglement meets artificial intelligence in quantum sensors[J]. Nature Physics,2025,21(6):870-871.
[26] [26] SUN J,YANG B,KOUKOURAKIS N,et al. AI-driven projection tomography with multicore fibre-optic cell rotation [J]. Nature Communications,2024,15(1):147.
[27] [27] DUAN J,HU Z,LU X,et al. Concurrent spin squeezing and field tracking with machine learning[J]. Nature Physics,2025,21(6):909-915.
[28] [28] RADI M A,LI P,BOUMARAF S,et al. AI-enhanced gas flares remote sensing and visual inspection:trends and challenges [J]. IEEE Access,2024(12):56 249-56 274.
[29] [29] LEE C,QIN Y,WANG Y C. Triboelectric nanogenerators for self-powered sensors and other applications [J]. MRS Bulletin,2025,50(4):428-438.
[30] [30] SHAO L,ZHANG J,CHEN X,et al. Artificial intelligence-driven distributed acoustic sensing technology and engineering application [J]. PhotoniX,2025,6(1):4.
[31] [31] LIN H,OU J,FAN Z,et al. In situ training of an in-sensor artificial neural network based on ferroelectric photosensors [J]. Nature Communications,2025,16(1):421.
[32] [32] LIU X,XIE Y,YAN Y,et al. Rapid on-demand design of inverted all-dielectric metagratings for trace terahertz molecular fingerprint sensing by deep learning[J]. ACS Photonics,2024,11(11):4 838-4 845.
[33] [33] SAEEDI J. Feasibility study and conceptual design of missile-borne synthetic aperture radar[J]. IEEE Transactions on Systems,Man,and Cybernetics:Systems,2020,50(3):1 122-1 133.
[34] [34] TIAN Z,YANG K,DANINO M,et al. Pursuer aim identification for an aircraft formation using a passive sensor without state estimation [J]. IEEE Transactions on Aerospace and Electronic Systems,2022,58(2):1 176-1 186.
[35] [35] WANG B,WANG H,MAO X,et al. Optical system design method of near-earth short-wave infrared star sensor [J]. IEEE Sensors Journal,2022(22):22 169-22 178.
[36] [36] ZHANG K,ZHOU D,YANG Z,et al. A novel heterogeneous sensor-weapon-target cooperative assignment for ground-to-air defense by efficient evolutionary approaches [J]. IEEE Access,2020 (8):227 373-227 398.
[37] [37] HUANG Y,GUO R,ZHANG Y,et al. Deep-reinforcement-learning-based radar parameter adaptation for multiple-target tracking[J]. IEEE Transactions on Aerospace and Electronic Systems,2024,60(5):7 125-7 141.
[38] [38] DU M,ZHONG P,CAI X,et al. DNCNet:deep radar signal denoising and recognition [J]. IEEE Transactions on Aerospace and Electronic Systems,2022,58(4):3 549-3 562.
[39] [39] ZHANG S,WEI S,LIU Z,et al. The rise of AI optoelectronic sensors: from nanomaterial synthesis,device design to practical application[J]. Materials Today Physics,2022,27:100 812.
[40] [40] PAYETTE J,VAUSSENAT F,CLOUTIER S. Deep learning framework for sensor array precision and accuracy enhancement [J]. Scientific Reports,2023,13(1):11 237.
[41] [41] BOAHEN E K,KWEON H,OH H,et al. Bio-inspired neuromorphic sensory systems from intelligent perception to nervetronics [J]. Advanced Science,2025,12(1):2 409 568.
[42] [42] TIAN Z,LI J,LIU L,et al. Machine learning-assisted self-powered intelligent sensing systems based on triboelectricity [J]. Nano Energy,2023,113:108 559.
[43] [43] NGUYEN D T,ZENG Q,TIAN X,et al. Ambient health sensing on passive surfaces using metamaterials [J]. Science Advances,2024,10(1):6 613.
[44] [44] JI W,LIU Z,GUO Y,et al. Correlated sensing with a solid-state quantum multisensor system for atomic-scale structural analysis [J]. Nature Photonics,2024,18(3):230-235.
[45] [45] ZHANG Z,WEN F,SUN Z,et al. Artificial intelligence-enabled sensing technologies in the 5G/Internet of things era:from virtual reality/augmented reality to the digital twin [J]. Advanced Intelligent Systems,2022,4(7):2 100 228.
[46] [46] LOFTUS T J,SHICKEL B,OZRAZGAT BASLANTI T,et al. Artificial intelligence-enabled decision support in nephrology[J]. Nature Reviews Nephrology,2022,18(7):452-465.
[47] [47] HAICK H,TANG N. Artificial intelligence in medical sensors for clinical decisions[J]. ACS Nano,2021,15(3):3 557-3 567.
[48] [48] LIU J,WANG H,PENG L,et al. PNNUAD:perception neural networks uncertainty aware decision-making for autonomous vehicle [J]. IEEE Transactions on Intelligent Transportation Systems,2022,23 (12):24 355-24 368.
[49] [49] LI Y,ZHAO Q,GUO J,et al. Multisensor fusion for railway irregularity inspection system: integration of RTK GNSS,MEMS IMU,odometer,and laser[J]. IEEE Transactions on Instrumentation and Measurement,2024,73:1-12.
[50] [50] REN Z,ZHANG Z,ZHUGE Y,et al. Near-sensor edge computing system enabled by a CMOS compatible photonic integrated circuit platform using bilayer AlN/Si waveguides[J]. Nano-Micro Letters,2025,17(1):261.
[51] [51] MENG J,WANG T,ZHU H,et al. Integrated in-sensor computing optoelectronic device for environment-adaptable artificial retina perception application[J]. Nano Letters,2022,22(1):81-89.
[52] [52] FOUKALAS F,TZIOUVARAS A. Edge artificial intelligence for industrial internet of things applications: an industrial edge intelligence solution [J]. IEEE Industrial Electronics Magazine,2021,15(2):28-36.
[53] [53] ZHOU F,CHAI Y. Near-sensor and in-sensor computing [J]. Nature Electronics,2020,3(11):664-671.
[54] [54] WANG J,WANG X,ECKERT C,et al. A 28-nm compute SRAM with bit-serial logic/arithmetic operations for programmable inmemory vector computing[J]. IEEE Journal of Solid-State Circuits,2020,55(1):76-86.
[55] [55] KIM B,LI S,TAYLOR B,et al. Efficient and robust edge AI: software,hardware,and the co-design [J]. ACM Trans Embed Comput Syst,2025,24(3):43.
[56] [56] GUO R,SUI F,YUE W,et al. Deep learning for non-parameterized MEMS structural design [J]. Microsystems & Nanoengineering,2022,8(1):91.
[57] [57] BUSTINZA O F,MOLINA L M,VENDRELL HERRERO F,et al. AI-enabled smart manufacturing boosts ecosystem value capture:the importance of servitization pathways within digital-intensive industries[J]. International Journal of Production Economics,2024,277:109 411.
[58] [58] FAN L,WANG Y,ZHANG H,et al. Multimodal perception and decision-making systems for complex roads based on foundation models[J]. IEEE Transactions on Systems,Man,and Cybernetics: Systems,2024,54(11):6 561-6 569.
[59] [59] FENG Y,CHEN X,WU Q,et al. A method for rapid self-calibration of wearable soft strain sensors [J]. IEEE Sensors Journal,2021,21(18):20 943-20 950.
[60] [60] ALAGUMALAI A,SHOU W,MAHIAN O,et al. Self-powered sensing systems with learning capability[J]. Joule,2022,6(7):1 475-1 500.
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ZHANG Jianming. AI-Driven High-End Sensors:Technology Leap and Autonomous Paths[J]. Process Automation Instrumentation, 2025, 46(8): 1
Received: Jul. 1, 2025
Accepted: Aug. 26, 2025
Published Online: Aug. 26, 2025
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