2018 Fifth HCT Information Technology Trends (ITT)

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2018 Fifth HCT Information Technology Trends (ITT)

IEEE, 2018.

Under the general editorship: V. Akre, A. Rajan

The Fifth HCT Information Technology Trends (ITT 2018) is a major international research conference for the presentation of innovative ideas, approaches, technologies, research findings and outcomes, best practices and case studies, national and international projects, institutional standards and policies on Emerging Technologies for Artificial Intelligence. ITT 2018 will provide an outstanding forum for researchers, practitioners, students, policy makers, and users to exchange ideas, techniques and tools, raise awareness and share experiences related to all practical and theoretical aspects of Emerging Technologies for Artificial Intelligence, so as to develop solutions related to communications, computer science and engineering, control systems as well as interdisciplinary research and applications.

Game Theoretic Approach for Applying Artificial Intelligence in the Credit Industry

Romanyuk K., , in: 2018 Fifth HCT Information Technology Trends (ITT).: IEEE, 2018. P. 1–6.

The law of accelerating returns can be viewed as a concept that describes acceleration of technological progress. The idea is that tools are used for developing more advanced tools that are applied for creating even more advanced tools etc. A similar idea has been implemented in algorithms for advancing artificial intelligence. In this paper, the ...

Added: February 28, 2019

Priority areas: IT and mathematics

Language: English

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Keywords: искусственный интеллект машинное обучение информационная технология анализ данных data mining machine learning Expert Systems экспертные системы artificial intelligence Information Technology

2018 Fifth HCT Information Technology Trends (ITT)

Parameterization and calibration of wild blueberry machine learning models to predict fruit-set in the northeast china bog blueberry agroecosystem

Qu H., Xiang R., Obsie E. Y. et al., Agronomy 2021

Data deficiency prevents the development of reliable machine learning models for many agroecosystems, especially those characterized by a dearth of knowledge derived from field data. However, other similar agroecosystems with extensive data resources can be of use. We propose a new predictive modeling approach based upon the concept of transfer learning to solve the problem ...

Added: October 22, 2026

Статистические методы анализа экономики и общества. 17-я Международная научно-практическая конференция студентов и аспирантов (12–15 мая 2026 г.)

М.: Издательский дом НИУ ВШЭ, 2026.

В сборнике представлены отобранные оргкомитетом труды участников 17-й Международной научно-практической конференции студентов и аспирантов «Статистические методы анализа экономики и общества» из России, Армении, Беларуси и Китая, представляющих 27 вузов из 16 городов: Москва, Владивосток, Ереван, Йошкар-Ола, Минск, Новосибирск, Оренбург, Ростов-на-Дону, Санкт-Петербург, Саранск, Саратов, Севастополь, Уфа, Шахты, Шэньчжэнь, Электросталь. Исследования посвящены вопросам статистической методологии, применению математико-статистических и ...

Added: October 21, 2026

Анализ алгоритмов квантовых вычислений в биомедицине

Gorbunov A. A., Григорьев А. А., Демидов Л. Н. et al., Приборы и системы. Управление, контроль, диагностика 2025 № 7 С. 20–24

Быстрое развитие технологии квантовых вычислений потенциально может произвести революцию в сложных вычислениях в физических, химических и биологических областях за счет использования квантовой суперпозиции и запутанности. Квантовые компьютеры используют кубиты, способные существовать в нескольких состояниях одновременно, в отличие от классических битов. Эта функция позволяет хранить и обрабатывать больше информации, что дает значительное преимущество при решении задач с обширным пространством ...

Added: October 12, 2026

Человек и технический космос

Tulchinskii G. L., Философские науки 2026 Т. 68 № 6 С. 32–58

In the work, technology is considered as a special form of being, going beyond the utilitarian and instrumental understanding and forming a new ontological space. This space is described as a technocosmos or metacosmos: an autonomous and self-generating reality in which technologies do not simply serve human needs, but begin to constitute their own logic ...

Added: October 11, 2026

Регулирование искусственного интеллекта в Европейском союзе, Соединенных Штатах, Китае и Южной Корее: между развитием инноваций и контролем

Vinogradov V., Kuznetsova D., Вестник Санкт-Петербургского университета. Серия 14. Право 2026 Т. 17 № 3 С. 796–816

Recognizing the enormous potential of artificial intelligence (hereinafter referred to as AI), many countries are striving to develop these technologies and are competing for leadership in this field. However, the development of AI technologies also entails a number of risks that must be mitigated. For a long time, the main role in regulating AI was ...

Added: October 10, 2026

AI and the Transformation of Scientific Knowledge: Hybrid Expertise and the Limits of Collins's Theory

Filatova Asya, Epistemology and Philosophy of Science 2026 Vol. 63 No. 3 P. 56–66

This article proposes a rethinking of the role of artificial intelli-gence in contemporary science through an analysis of HarryCollins’s concept of expertise. The point of departure is the ob-served tension between normative accounts of expertise –grounded in ideas of socialisation, tacit knowledge and member-ship in a form of life – and the empirical practices in ...

Added: October 10, 2026

Систематический обзор факторов принятия искусственного интеллекта студентами высших учебных заведений: образовательный контекст

Мухамедкаримова Д. Ф., Умуркулова М. М., Galyapina V. N. et al., Вестник Карагандинского университета. Серия Педагогика 2026 Т. 31 № 3 С. 69–77

Currently, artificial intelligence occupies a solid place among traditional pedagogical technologies and approaches, which is the subject of widespread discussion among domestic and foreign scientists and researchers. This is because the introduction of AI into higher education, despite its high potential, faces a wide range of economic, social, and ethical obstacles. These include resistance to ...

Added: October 6, 2026

Отношение россиян к искусственному интеллекту

Roshchina Y., Strebkov D., Roshchin S. et al., В кн.: Вестник Российского мониторинга экономического положения и здоровья населения НИУ ВШЭ (RLMS‑HSE). Вып. 16Вып. 16.: М.: Национальный исследовательский университет "Высшая школа экономики", 2026. С. 102–123.

The article examines the level of awareness, patterns of usage, and prevailing attitudes toward Artificial Intelligence (AI) in Russia. The study relies on data from an AI‑related questionnaire incorporated into the 2024 round of the Russia Longitudinal Monitoring survey – Higher School of Economics (RLMSHSE) and Google/Ipsos Multi‑Country AI Survey carried out in 2023. The ...

Added: October 5, 2026

Enhancing Boundary Stability in Decision Trees and Random Forests: A Weighted Sample Duplication Approach

Konstantinov A., Elizarova Anastasiya P., Utkin L., Computing, Telecommunications and Control 2026 Vol. 19 No. 1 P. 16–25

Decision trees and their ensemble extensions, such as random forests, are widely used as classification models due to their simplicity and interpretability. However, in many real-world tasks where class labels overlap in the feature space, standard decision trees rely on hard splits that create fragile decision boundaries. In these regions, small perturbations in the input ...

Added: October 2, 2026

Роль и место преподавателя в экосистеме университетского предпринимательства: российский опыт

Sorokin P., Morozova E., Goshin M. E. et al., Высшее образование в России 2026 Т. 35 № 3 С. 63–89

The purpose of this study is to empirically identify the potential of contemporary educators involved in university entrepreneurship support initiatives as potential drivers of ecosystem development. This is achieved through an analysis of their key individual characteristics, professional experience, pedagogical practices, and the institutional context of the university environment. To this end, based on a ...

Added: October 2, 2026

Urbi et Orbi («Городу и миру»): «Ценности открытого мира и «железного занавеса». Сборник

М.: ООО «Городу и миру», 2026.

Как мочили «Яблоко» и чем хороша Партия наивных дураков, кто вывел в люди советскую науку и что такое «русский ИИ». ...

Added: October 2, 2026

ПРИЕМКА КОРПОРАТИВНОГО ИИ-ПОИСКА ОБОСНОВАНИЕ РЕШЕНИЯ

Белов Б. П., Kocharian R., Самойлов И. А. et al., Стандарты и качество 2026 № 10 С. 105–109

Acceptance of enterprise AI search requires checking answer correctness and access controls, defining acceptable errors, and assessing whether testing is sufficient. A record for individual acceptance criteria was developed. Its eight fields link requirements and risks to system configuration, testing, and the acceptance decision. The fields are mapped to provisions in four Russian standards. The ...

Added: October 1, 2026

Формирование Китаем технологического суверенитета в области «физического ИИ»: кейс промышленной робототехники

Klochko O., Кузнецова М. П., Пространственная экономика 2026 Т. 22 № 3 С. 73–103

The article assesses China’s technological sovereignty in high-tech industries that form the ecosystem of physical artificial intelligence and its readiness to develop intelligent robotics. The aim of the study is to identify changes in China’s position in the global value chains of these industries through a comprehensive analysis of foreign value added used in production, ...

Added: October 1, 2026

Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI 2026)

International Joint Conferences on Artificial Intelligence, 2026.

Added: October 1, 2026

Изменение структуры мировой экономики: от очевидных сдвигов к стратегической неопределенности

Belousov D., Экономическое возрождение России 2026 № 2 С. 85–97

Выявление ключевых тенденций и структурных сдвигов в развитии мировой экономики, обусловленных переходом от биполярной модели к «мозаичному» миру взаимодействующих центров силы, а также определение возможных позиций и роли России в формирующейся новой архитектуре международных экономических отношений в современных условиях приобретает важное не только теоретическое, но и прикладное значение. В результате исследования зафиксирован парадоксальный феномен: в ...

Added: September 29, 2026

A Three-Party W-State Quantum Secret Sharing Protocol with X-Gate Encoding and Forbidden-Outcome Detection

Teregulov T., Loubenets E. R., / Series Quantum Physics "arXiv". 2026. No. 2609.31472.

We develop a new three-party quantum secret-sharing (QSS) protocol based on a three-qubit W state. This protocol encodes the secret-sequence bits using X gates and employs randomly selected Hadamard operations and measurement bases to generate information and security-test rounds. We evaluate the efficiency of the proposed protocol and analyze its security against an internal adversary ...

Added: September 28, 2026

The Global Good. The Future of Culture, Creation, and Author

M.: UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights (HSE University), 2026.

The compendium brings together short academic papers (Think pieces UNESCO) in English prepared by fifth-year law students of HSE University during their professional internship at the UNESCO Chair on Copyright, Neighbouring, Cultural and Information Rights under the supervision of Mariia Katkova. Following MONDIACULT 2022, which recognized culture as a global good, the papers examine the ...

Added: September 28, 2026

On calibration of remote sensing retrievals of ecosystem respiration (Reco) with tower measurements over,Russian forests and wetlands

Shabanov N., Kuricheva O., Kurbatova J. et al., / Series Working Papers SSRN "Department of Economics Ca’ Foscari University of Venice". 2026.

The carbon balance of an ecosystem is the difference between Gross Primary Productivity (GPP) and Ecosystem Respiration (Reco) as expressed by Net Ecosystem Exchange (NEE). While remote sensing retrievals of GPP have reached maturity, Reco estimation remains underexplored and ultimately cast bias on NEE. Here we present an end-to-end multi-scale analysis of the mechanism of ...

Added: August 21, 2026

Three Algorithms for Merging Hierarchical Navigable Small World Graphs

Ponomarenko A., / Series Computer Science "arxiv.org". 2025.

This paper addresses the challenge of merging hierarchical navigable small world (HNSW) graphs, a critical operation for distributed systems, incremental indexing, and database compaction. We propose three algorithms for this task: Naive Graph Merge (NGM), Intra Graph Traversal Merge (IGTM), and Cross Graph Traversal Merge (CGTM). These algorithms differ in their approach to vertex selection ...

Added: July 30, 2026

Growth in noncommutative algebras and entropy in derived categories

Piontkovski D., / Series arXiv "math". 2026.

A noncommutative projective variety is defined, following Artin and Zhang, by a graded coherent algebra 𝐴. The category of coherent sheaves is then the quotient qgr(𝐴) of the category of finitely presented graded modules by the subcategory of torsion modules. We consider the categorical and polynomial entropies of the Serre twist, that is, of the ...

Added: June 23, 2026

Multilinear nilalgebras and the Jacobian theorem

Piontkovski D., / Series arXiv "math". 2025.

If a symmetric multilinear algebra is weakly nil, then it is Engel. This result may be regarded as an infinite-dimensional analogue of the well-known Jacobian theorem, which states that if a polynomial mapping has a polynomial inverse, then its Jacobian matrix is invertible. This refines a theorem of Gerstenhaber and partially answers a question posed ...

Added: June 23, 2026

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026