This article analyzes the progression of industries with respect to technology and how it has both displaced and created new job opportunities. Moreover, it explains how AI and automation would go on to shape the future of humanity. As history has shown us, with every technological revolution, there arise new opportunities. However, unemployment arises as an outcome of non-competitive, low-skilled labor segments being automated. With the aid of current procedures combined with historical practices, it aids in the understanding of technology-induced wage imbalances and inequality. There are geospatial gaps, as well. Advanced economies come across retraining gaps, whereas underdeveloped economies face slow tech adoption issues. This article is a reminder regarding the educational policies that need to be tackled alongside skill development while suggesting radical changes to the construction of educational frameworks and stratified training methodologies. It will foster skill development concerning the enhancing job market. Incorporating these measures will help lessen the impact of the technology gap and promote smooth skill development for all ahus ensuring prosperity for all in the ever-agile work environment.

Ushbu maqolada fazoviy tasvirlarni tahlil qilish asosida inson yuzini aniqlash muammosi ko‘rib chiqiladi. Yuzni aniqlash — kompyuter ko‘rish (Computer Vision) va biometrik identifikatsiya sohalarining dolzarb yo‘nalishlaridan biri hisoblanadi. Ayniqsa, raqamli tasvirlarni chastota sohasida ifodalash orqali ularning asosiy xususiyatlarini ajratib olish va tahlil qilish, sun’iy intellektga asoslangan tizimlar uchun katta ahamiyatga ega. Fourier o‘zgarishlari raqamli tasvirlarni fazodan chastotaga o‘tkazishga imkon beradi, bu esa yuzni aniqlash vazifasini ancha soddalashtiradi. Maqolada DFT (Diskret Fourier o‘zgarishi) va uning ikki o‘lchamli (2D) ko‘rinishlari, tasvirni tahlil qilishda foydalaniladigan algoritmlar, tajriba natijalari, grafik tahlillar, sun’iy neyron tarmoqlari bilan integratsiya holatlari keng yoritilgan.

Mirtemir qalamiga mansub "Toshbu"she'ri serqirra ijodkor Mirtemir haqida gap borar ekan, u faqat lirik sheʼrlar bilan cheklanibgina qolmay goʻzal dostonlar, dramatik va nasriy asarlar yaratgan. She'r Toshbibi (ya'ni she'rda Toshbu) ismli ayolga bagʻishlab bitilgan boʻlib, uning yoriga sadoqati, ahdiga vafosi, tugamas bardoshi va metin irodasini tarannum etish orqali butun oʻzbek ayollarining urush davrida koʻrsatgan matonatini tasvirlaydi.

Language acquisition is a fundamental aspect of human development and has been the subject of extensive study across multiple disciplines, including linguistics, cognitive science, psychology, and education. Understanding how individuals acquire language, whether their first language (L1) or a second/foreign language (L2), is crucial for the development of effective teaching methodologies and learning environments. This paper provides an in-depth examination of the primary theories that attempt to explain the process of language acquisition. The Behaviorist Theory, pioneered by B.F. Skinner, emphasizes imitation, reinforcement, and habit formation. In contrast, the Nativist Theory, led by Noam Chomsky, argues for an innate, biological capacity for language learning, proposing the existence of a “language acquisition device” (LAD). The Cognitive Theory, influenced by Jean Piaget, highlights the role of mental processes and developmental stages in language learning, while the Social Interactionist Theory, associated with Lev Vygotsky, stresses the importance of social context and interaction in the acquisition of language.

Mazkur maqolada siyosiy ijtimoiylashuv jarayonida an’analar va innovatsiyalarning o‘zaro aloqadorligi tahlil qilinadi. Jamiyatda shakllangan qadriyatlar va zamonaviy texnologiyalarning uyg‘unlashuvi yosh avlodning siyosiy ongini shakllantirishda qanday rol o‘ynashi haqida fikr yuritiladi. Muallif hayotiy misollar va insoniy qarashlar orqali ushbu jarayonning mohiyatini ochib berishga harakat qiladi.