SUN’IY INTELLEKT NAZARIYASI VA AMALIYOTI: TAJRIBALAR, MUAMMOLAR VA ISTIQBOLLAR
DOI:
https://doi.org/10.5281/zenodo.17881977Keywords:
sun’iy intellekt, neyron tarmoqlar, mashinali o‘rganish, tushuntiriladigan SI, etika, ma’lumotlardagi og‘ish, kvant texnologiyalari.Abstract
Ushbu tadqiqot sun’iy intellekt (SI)ning nazariy asoslari va amaliy yo‘nalishlarini ilmiy jihatdan chuqur tahlil
qiladi. Tadqiqotda mashinali o‘rganish modellarining mohiyati, neyron tarmoqlarning ishlash mexanizmlari, shuningdek,
simvolik mantiqqa asoslangan yondashuvlarning konseptual xususiyatlari yoritiladi. Sog‘liqni saqlash, moliya va ta’lim
sohalarida SIning real qo‘llanish tajribalari ko‘rib chiqilib, ma’lumotlardagi og‘ishlar, tushuntirilmaslik muammosi va axloqiy
masalalar ilmiy asosda baholanadi. Shuningdek, tushuntiriladigan SI konsepsiyasi, kvant texnologiyalarining istiqbollari
hamda xalqaro darajadagi regulyativ yondashuvlar tahlil etiladi.
References
1. Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach. – 4th ed. – Boston: Pearson, 2020-y. – 1136 b.
2. Jumper, J., Evans, R., Pritzel, A., va boshq. Highly accurate protein structure prediction with AlphaFold // Nature. –
2021-y. – Vol. 596. – B. 583–589.
3. Tesla Inc. Autopilot Safety Report. – 2023-y. – [Onlayn manba]: https://www.tesla.com/VehicleSafetyReport
4. OpenAI. GPT-4 Technical Overview. – San Francisco: OpenAI, 2023-y. – [Onlayn manba]: https://openai.com/research/
gpt-4
5. World Economic Forum. Future of Jobs Report 2023. – Geneva: WEF, 2023-y. – 371 b.
6. Gunning, D., Aha, D. W. DARPA’s Explainable Artificial Intelligence (XAI) Program // AI Magazine. – 2021-y. – Vol.
42(2). – B. 44–58.
7. Hao, K. The algorithmic bias problem // MIT Technology Review. – 2021-y. – [Onlayn manba]: https://www.
technologyreview.com
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