It is no secret that in the past decade, advanced technologies, such as artificial intelligence (AI),  have rapidly developed and are now at the forefront of modern computer science.

The applications of AI are vast and varied, with many complex problems being successfully solved using these technologies. Some of the main areas of AI include machine learning, robust convolutional neural networks, deep machine learning, cloud computing and big data, pattern recognition theory, photo and video interpretation, machine translation, text analysis, data mining, drone control, and robotics.

This paper discusses the latest state-of-the-art machine learning and neural network techniques to formulate and solve prediction problems. Whether you are a seasoned professional in the field or a newcomer, this paper will provide valuable insights and knowledge into the ever-evolving world of AI.

Полный текст

The article is devoted to the study of the impact of technological advances on the dynamics of the labour market in the capital of Kyrgyzstan. The introduction provides a comprehensive overview of global technological trends and how they are being realised in Bishkek's thriving IT sector.

The methodological section provides details of studies that have examined IT employment, freelancers, start-ups and large technology firms. The data analysis section compares employment in the IT sector with the traditional sectors of education, trade and medicine. The discussion section raises critical questions regarding the availability of educational resources, the IT skills required, and the need for retraining and training. The article also highlights the potential implications of IT policy development, such as supporting the development of technology parks and startup incentive programmes. Finally, the article concludes with a forecast of the future role of IT in the Kyrgyz economy and recommendations for improving the integration of IT education into educational programmes.

Полный текст