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Artificial intelligence. Machine learning

Vehicle and electronics. Innovative technologies, 2022
У статті відображені історія та останні досягнення в царені машинного навчання (machine learning) та штучного інтелекту (artificial intelligence), ці розділи являють собою необхідні умови Індустрії 4.0 (Industry 4.0). Без цих компонентів неможливий розвиток майбутньої економіки.
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Promises and challenges of generative artificial intelligence for human learning

Nature Human Behaviour
Generative artificial intelligence (GenAI) holds the potential to transform the delivery, cultivation and evaluation of human learning. Here the authors examine the integration of GenAI as a tool for human learning, addressing its promises and challenges
Lixiang Yan   +3 more
semanticscholar   +1 more source

Artificial intelligence, science, and learning

Journal of Thrombosis and Haemostasis, 2023
David, Lillicrap, James H, Morrissey
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ARTIFICIAL INTELLIGENCE IN EDUCATION: CHALLENGES AND OPPORTUNITIES FOR SUSTAINABLE DEVELOPMENT

EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA
The article analyzes the role of artificial intelligence (AI) in the transformation of the educational sphere in the context of achieving the Sustainable Development Goals (SDGs).
S. A. Vakhabova   +2 more
semanticscholar   +1 more source

The Interplay of Learning, Analytics, and Artificial Intelligence in Education

British Journal of Educational Technology
This paper presents a multidimensional view of AI's role in education, emphasising the intricate interplay among AI, analytics and human learning processes. Here, I challenge the prevalent narrow conceptualisation of AI as tools in Education, exemplified
M. Cukurova
semanticscholar   +1 more source

Towards conversational diagnostic artificial intelligence

Nature
At the heart of medicine lies physician–patient dialogue, where skillful history-taking enables effective diagnosis, management and enduring trust1,2. Artificial intelligence (AI) systems capable of diagnostic dialogue could increase accessibility and ...
Tao Tu   +25 more
semanticscholar   +1 more source

Artificial Intelligence in Cybersecurity

International journal of scientific research and engineering trends
Artificial Intelligence (AI) is radically reshaping cybersecurity by enabling data-driven threat analysis and response capabilities that far surpass traditional, signature-based methods.
Rushi Bhayani
semanticscholar   +1 more source

Machine Learning and Artificial Intelligence

2020
This chapter proposes a cost-effective and scalable approach to obtain information on the current living standards and development in rural areas across India. The model utilizes a CNN to analyze satellite images of an area and predict its land type and level of development. A decision tree classifies a region as rural or urban based on the analysis. A
Anupama Hoskoppa Sundaramurthy   +3 more
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A Review of 6G and AI Convergence: Enhancing Communication Networks With Artificial Intelligence

IEEE Open Journal of the Communications Society
This paper explores the integration of Artificial Intelligence into 6G networks, focusing on optimizing communication, resource allocation, and enhancing security.
Yousef K. Sanjalawe   +5 more
semanticscholar   +1 more source

Artificial Intelligence and Machine Learning

2020
«The Theoretical University» in the Data Age. Have the great theories become obsolete? Anniversary Conference | Bielefeld University | 14–15 November 2019 Panel C: Big Data: From Machine Learning to Quantum Computing (Organized by: Dario Anselmetti, Barbara Hammer) Carlo Beenakker (Leiden University): Artificial Intelligence and Machine ...
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