SUN’IY INTELLEKT VA MASHINANI O‘RGANISHDA PARALLELLASHTIRISH BILAN BOG‘LIQ MUAMMOLAR VA ULARNI HAL ETISH

Authors

  • Tojimamatov Isroiljon Nurmamatovich Farg’ona Davlat Universiteti amaliy matematika va informatika kafedrasi katta oʻqituvchisi Author
  • Mo’ydinova Asalxon Qodirjon qizi Farg’ona Davlat Universiteti “Kompyuter ilmlari va dasturlash texnologiyalari” yo’nalishi 23.11-guruh 2-bosqich talabasi Author

Keywords:

Sun’iy intellekt, mashinani o‘rganish, parallellashtirish, hisoblash samaradorligi, resurslarni taqsimlash, sinxronizatsiya, massiv parallel hisoblash.

Abstract

Ushbu maqolada sun’iy intellekt va mashinani o‘rganish jarayonlarida parallellashtirish usullarining roli va u bilan bog‘liq muammolar tahlil qilinadi. Hisoblash samaradorligini oshirish, resurslarni to‘g‘ri taqsimlash va ma’lumotlarni sinxronizatsiya qilish muammolari hamda ularning yechimlari muhokama qilinadi.

References

1. Ian Goodfellow, Yoshua Bengio, Aaron Courville. "Deep Learning". MIT Press, 2016.

2. Michael Nielsen. "Neural Networks and Deep Learning". Determination Press, 2015.

3. David L. Poole, Alan K. Mackworth. "Artificial Intelligence: Foundations of Computational Agents". Cambridge University Press, 2010.

4. Zhang, C., Yang, Q. (2015). "A survey on multi-task learning". IEEE Transactions on Knowledge and Data Engineering.

5. Dean, J., Ghemawat, S. (2004). "MapReduce: Simplified data processing on large clusters". Communications of the ACM.

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Published

2025-04-15