ZAMONAVIY AXBOROT-KOMMUNIKATSIYA TEXNOLOGIYALARI, DASTURIY INJINIRING VA SUN’IY INTELLEKT: KONVERGENSIYA, MUAMMOLAR VA ISTIQBOLLAR

Qabul qilingan: 2026-05-22

Nashr etilgan: 2026-06-06

Annotatsiya

Ushbu maqolada zamonaviy kompyuter fanining uchta asosiy yo‘nalishi — axborot-kommunikatsiya texnologiyalari (AKT), dasturiy injiniring va sun’iy intellekt (SI)ning o‘zaro konvergensiyasi ko‘rib chiqiladi. Dolzarb tadqiqotlar, global statistika va amaliy keyslar tahlili asosida tizimli o‘zaro bog‘liqliklar aniqlanadi, texnologik muammolar belgilab olinadi hamda iqtisodiyot va jamiyatning raqamli transformatsiyasi sharoitida ushbu yo‘nalishlarni integratsiya qilish bo‘yicha yondashuvlar taklif etiladi. MLOps metodologiyasi, yirik til modellari arxitekturasi va zamonaviy DevSecOps amaliyotlariga alohida e’tibor qaratiladi.

Adabiyotlar ro'yxati

  1. Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is All You Need. Advances in Neural Information Processing Systems, 30, 5998–6008.

  2. LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521(7553), 436–444. https://doi.org/10.1038/nature14539

  3. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

  4. Bass, L., Clements, P., & Kazman, R. (2021). Software Architecture in Practice (4th ed.). Addison-Wesley.

  5. Kleppmann, M. (2017). Designing Data-Intensive Applications. O’Reilly Media.

  6. Provost, F., & Fawcett, T. (2013). Data Science for Business. O’Reilly Media.

  7. Humble, J., & Farley, D. (2010). Continuous Delivery. Addison-Wesley.

  8. Sculley, D., Holt, G., Golovin, D., Davydov, E., Phillips, T., Ebner, D., Chaudhary, V., Young, M., Crespo, J.-F., & Dennison, D. (2015). Hidden Technical Debt in Machine Learning Systems. In Proceedings of the 28th International Conference on Neural Information Processing Systems (NIPS 2015) (pp. 2503–2511). MIT Press.

  9. Kim, M., Zimmermann, T., DeLine, R., & Begel, A. (2016). The emerging role of data scientists on software development teams. In Proceedings of the 38th International Conference on Software Engineering (ICSE 2016) (pp. 96–107). ACM. https://doi.org/10.1145/2884781.2884783

  10. Gartner. (2024). Top Technology Trends 2024. Gartner Research Report. https://www.gartner.com

  11. McKinsey Global Institute. (2024). The state of AI in 2024. McKinsey & Company. https://www.mckinsey.com

  12. IDC. (2024). Worldwide AI and Generative AI Spending Guide. IDC Report. https://www.idc.com

Mualliflar haqida

Kudratali Temirov, Muzaffar Dadamirzayev
Namangan davlat texnika universiteti

Litsenziya

Qanday iqtibos keltirish kerak

ZAMONAVIY AXBOROT-KOMMUNIKATSIYA TEXNOLOGIYALARI, DASTURIY INJINIRING VA SUN’IY INTELLEKT: KONVERGENSIYA, MUAMMOLAR VA ISTIQBOLLAR. (2026). MMIT Proceedings, 959-964. https://doi.org/10.61587/

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