The integration of artificial intelligence (AI) into project management processes has seen significant
advancements, offering new opportunities to enhance efficiency, decision-making, and operational productivity in the
IT sector. This study focuses on the dynamics of human-AI collaboration to achieve optimal integration between human
skills and AI capabilities, while analyzing socio-technical factors such as trust, communication, role division, and
organizational culture. The study aims to identify best practices and develop a framework to enable this integration,
providing practical insights for project managers, AI developers, and organizations seeking to effectively leverage AI
tools.
Новые поступления электронной библиотеки
This mini report presents the design and implementation of a portable weather station utilizing the ESP32
microcontroller for real-time monitoring of environmental parameters, specifically temperature, humidity, and rainfall.
The system incorporates various sensors and an OLED display for data visualization, providing users with immediate
access to weather conditions. The low-power capabilities of the ESP32, combined with its Wi-Fi connectivity, enable
remote data access and logging, making this weather station an effective tool for both enthusiasts and professionals in
meteorology.
The rapid advancement in computer vision and deep learning has paved the way for innovative
applications in food recognition. This mini report presents a comprehensive approach to developing a Fruits and
Vegetable Recognition System using Convolutional Neural Networks (CNNs). The system not only identifies various
fruits and vegetables but also provides users with recipe suggestions based on the recognized items. The integration
of image processing techniques with a user-friendly interface enhances the cooking experience, promoting healthier
eating habits.
Программа ознакомительной практики для студентов 1 курса специальности 6-05-0612-03 "Системы управления информацией". Рассмотрены вопросы организации, проведения и подведение итогов практики.
Программа ознакомительной практики для студентов 1 курса специальности 6-05-0713-02 "Электронные системы и технологии". Рассмотрены вопросы организации, проведения и подведение итогов практики.
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