Applications and challenges of hybrid artificial intelligence in chip age testing: a comprehensive review
DOI: 10.23977/jaip.2023.060309 | Downloads: 16 | Views: 482
Author(s)
Cong Xu 1, Wensheng Chen 1, Mingkuan Lin 1, Jianli Lu 1, Yunghsiao Chung 1, Jiahui Zou 1, Ciliang Yang 1
Affiliation(s)
1 Global ETS. LLC, 2631 Success Dr, Odessa, Florida, 33556, USA
Corresponding Author
Cong XuABSTRACT
As technology rapidly advances, semiconductor devices play a crucial role in various fields. However, these devices experience aging over time, leading to performance degradation, failure, or system crashes. Real-time aging detection of semiconductor devices is essential. This paper presents a real-time aging detection technique for semiconductor devices, combining deep learning and evolutionary algorithms, effectively assessing and predicting device aging states using Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). These features are then input into evolutionary algorithm frameworks, such as Genetic Algorithms (GA) and Genetic Algorithms (PSO), to identify and predict aging trends. The adaptation of evolutionary algorithms ensures good generalization for various semiconductor devices. Through extensive experimental data analysis, the proposed technique demonstrates excellent accuracy and real-time performance compared to traditional aging detection methods. In addition, it also monitors their operation in real-time, providing valuable support for maintenance and management personnel. The findings contribute to improving semiconductor device reliability and stability, providing a robust foundation for intelligent and automated maintenance.
KEYWORDS
Artificial intelligence, Convolutional Neural Networks, Recurrent Neural Networks, Genetic Algorithms, Genetic AlgorithmsCITE THIS PAPER
Cong Xu, Wensheng Chen, Mingkuan Lin, Jianli Lu, Yunghsiao Chung, Jiahui Zou, Ciliang Yang, Applications and challenges of hybrid artificial intelligence in chip age testing: a comprehensive review. Journal of Artificial Intelligence Practice (2023) Vol. 6: 70-75. DOI: http://dx.doi.org/10.23977/jaip.2023.060309.
REFERENCES
[1] K. Dang, A. Benahmed, F. Rahman, B. Benabid and T. Tu, "Thermal Distribution, Lifetime Reliability Prediction and Spare TSV Insertion Platform for Stacking 3D-ICs," 2020 International Conference on Advanced Technologies for Communications (ATC), Hanoi, Vietnam, 2020, pp. 53-58, doi: 10.1109/ATC48548. 2020.9325085
[2] C. Y. Chang, C. H. Lee, and K. N. Chiang, "Using Grid Search Methods and Parallel Computing to Reduce AI Training Time for Reliability Lifetime Prediction of Wafer-Level Packaging," in 2023 24th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), 2023, pp. 5-10.
[3] Lai Chunfeng, et al. "High luminous efficacy and enhanced stability of QDs via a network silica and methylphenyl silicone hybrid for the long-term operation of on-chip white light-emitting diodes with a wide color gamut." Applied Materials Today 20 (2020): 100739.
[4] Li Zongtao, et al. "Solid–Liquid Hybrid‐State Organic Lens for Highly Efficient Deep Ultraviolet Light‐Emitting Diodes." Advanced Photonics Research 3.5 (2022): 2100211.
[5] Larson Ronald B. "Controlling social desirability bias." International Journal of Market Research 61.5 (2019): 534-547.
[6] Manoharan Aaruththiran, et al. "Artificial neural networks, gradient boosting and support vector machines for electric vehicle battery state estimation: A review." Journal of Energy Storage 55 (2022): 105384.
[7] Sahoo Satyajeet, et al. "Artificial Deep Neural Network in Hybrid PV System for Controlling the Power Management." International Journal of Photoenergy 2022 (2022).
[8] Xie Haonan, et al. "IntelliSense technology in the new power systems." Renewable and Sustainable Energy Reviews 177 (2023): 113229.
[9] Zulu, Musawenkosi Lethumcebo Thanduxolo, Rudiren Pillay Carpanen, and Remy Tiako. "A Comprehensive Review: Study of Artificial Intelligence Optimization Technique Applications in a Hybrid Microgrid at Times of Fault Outbreaks." Energies 16.4 (2023): 1786.
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