The article is devoted to the issues of using artificial intelligence for creating interactive projects in the educational environment for facilitating the comprehension and memorizing complicated and important information.

The article presents a miniature, multifunctional platform based on an application-specific integrated circuit (ASIC) for implantable medical devices with wireless power and data transmission. The ASIC integrates pulse generation and sensing functions, offers flexible parameter settings for personalized treatment and can be used in neurostimulators, pacemakers, biosensors, other ...

Diseases accompany humans throughout their lives, altering their usual way of life and demanding new solutions. Today, one of the key tools in combating them is artificial intelligence, which is actively being introduced into medicine. This article studies the possibilities of artificial intelligence (AI) in diagnosing certain diseases, as well as the accuracy of the results it ...

This paper presents a comparative study of ORB and SIFT feature matching methods under the SLAM framework. Both algorithms were implemented and tested on identical image sets to evaluate their performance from multiple classical perspectives, including feature distribution, robustness to illumination and rotation, matching accuracy, and computational efficiency. By Analyzing both ...

This paper explores how data augmentation techniques influence the performance and generalization of deep learning-based image classifiers. Augmentation is essential for enhancing robustness and accuracy, especially when training data are limited or imbalanced. The study discusses various augmentation methods, from basic geometric transformations to advanced approaches such as ...

This study compares and analyzes three outlier detection methods applied to server CPU utilization time series – IQR, Z-Score, and DBSCAN. Based on 1,435 data points collected over a 1-minute interval, the core contribution of this study is a parameter sensitivity analysis. The study demonstrates that there is no universally applicable «best» method and provides deeper insights ...

The article explores the phenomenon of neuro-myths – modern myths generated by artificial intelligence. The author analyzes the reasons for their emergence and the impact on different generations. Based on a survey, conclusions are drawn about the perception of neuro-myths by young people.

The article explores the potential of virtual reality (VR) for preserving historical and cultural heritage. Drawing on the experience of developing and implementing the «Echo of the Past» project, aimed at creating an interactive digital collection of artifacts from the Great Patriotic War, it is shown that VR offers innovative ways not just to conserve history, but also to ...

An approach to discard objects that are not in the frame. That approach based on Back face culling (BFC), Frustum culling (FC), Occlusion culling (OC), Hierarchical Z-Buffer (HZB) and Hierarchical Occlusion Maps (HOMs). Using a GPU-driven rendering method that allows make object visibility tests on the GPU instead of the CPU.

This paper presents an intelligent trading framework based on large language models. This system integrates the semantic reasoning of LLMs with classic statistical models, using LLMs to analyze news, sentiment, and macro reports to generate signals. These signals are combined with historical data and then drive the risk control module. The trading system replaces human analysts, ...