ILM-FAN VA INNOVATSION TEXNOLOGIYALARI ZAMONAVIY YO’NALISHLAR, USULLAR VA ULARNING INSONIYAT HAYOTIGA TA’SIRI
Main Article Content
Abstract:
Ushbu maqola zamonaviy ilm-fan va innovatsion texnologiyalarning jamiyat hayotidagi o‘rni, muammolari va istiqbollariga bag‘ishlangan. Hozirgi davr texnologik rivojlanishning yuksak bosqichiga ko‘tarilgan bir paytda, sun’iy intellekt (AI), biotexnologiya va kvant hisoblash texnologiyalari insoniyat taraqqiyotining muhim vositalariga aylanmoqda. Maqolada ushbu yo‘nalishlarning nazariy asoslari, texnologiyalarning qo‘llanilish sohalari va ularning jamiyatga ijobiy ta’siri keng yoritilgan.
Muallif AI yordamida tibbiyot, ta’lim va transport sohalarida amalga oshirilayotgan yutuqlarni ko‘rsatib, bu texnologiyalarni mas’uliyat bilan boshqarish zarurligini ta’kidlaydi. Shuningdek, biotexnologiyaning gen terapiyasi, sun’iy organlar ishlab chiqarish, ekologik barqarorlikni ta’minlash kabi sohalardagi muhim roli ko‘rsatib o‘tilgan. Kvant hisoblash texnologiyalarining ilmiy tadqiqotlar, shifrlash va katta ma’lumotlarni qayta ishlashdagi afzalliklari tahlil qilinib, ushbu texnologiyaning kelajakdagi yutuqlarga asos bo‘lishi ta’kidlanadi.
Maqola zamonaviy texnologiyalarning muammolarini ham yoritadi, jumladan, axborot xavfsizligi, ekologik tahdidlar, texnologik tengsizlik va etik masalalarga e’tibor qaratiladi. Ushbu muammolarni hal qilish uchun global hamkorlik, yangi yondashuvlar va ta’lim tizimini rivojlantirish bo‘yicha takliflar berilgan.
Maqola ilm-fan va texnologiyalarni barqaror rivojlantirish, ijtimoiy adolatni ta’minlash va ekologik xavfsizlikni saqlash orqali jamiyatni global farovonlikka olib borish yo‘llarini ko‘rsatadi. Ushbu mavzu bo‘yicha tadqiqotlar texnologik yuksalishni davom ettirish uchun mustahkam asos yaratadi.
Article Details
How to Cite:
References:
Nielsen, M., & Chuang, I. (2000). Quantum Computation and Quantum Information. Cambridge University ress.
Preskill, J. (2018). "Quantum Computing in the NISQ Era and Beyond". Quantum, 2, 79.
Arute, F., et al. (2019). "Quantum supremacy using a programmable superconducting processor". Nature, 574(7779), 505-510.
Shor, P. W. (1997). "Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer". SIAM Journal on Computing, 26(5), 1484-1509.
Grover, L. K. (1996). "A Fast Quantum Mechanical Algorithm for Database Search". Proceedings of the Twenty-Eighth Annual ACM Symposium on Theory of Computing.
Montanaro, A. (2016). "Quantum algorithms: An overview". NPJ Quantum Information, 2(1), 15023.
Rieffel, E. G., & Polak, W. H. (2011). Quantum Computing: A Gentle Introduction. MIT Press.
IBM Quantum. (2024). "Introduction to Quantum Computing". https://www.ibm.com/quantum.
National Institute of Standards and Technology (NIST). (2024). "Post-Quantum Cryptography". https://csrc.nist.gov.
Mathis, R. L., & Jackson, J. H. (2019). Human resource management: Essential perspectives. Cengage Learning.
Ulrich, D., Brockbank, W., Johnson, D., & Younger, J. (2019). HR from the outside in: Six competencies for the future of human resources. McGraw-Hill Education.
Torrington, D., Hall, L., & Taylor, S. (2020). Human resource management. Pearson Education.
Noe, R. A., Hollenbeck, J. R., Gerhart, B., & Wright, P. M. (2019). Human resource management: Gaining a competitive advantage. McGraw-Hill Education.

