Results 31 to 40 of about 39,872 (261)
Sustainable Futures, 2022 Artificial Intelligence (AI) has become an important area to tackle most environmental sustainability issues such as biodiversity, energy, transportation and water management.
Emmanuel Kwame Nti +4 more
doaj +1 more source
FEBS Open Bio, EarlyView.This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source
Advanced Engineering Materials, EarlyView.This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
ARTIFICIAL INTELLIGENCE: ITS CONCEPT AND CHARACTERISTICS
Правовое государство: теория и практикаDespite the wide application of artificial intelligence technology in many areas of activity, the use of the term “artificial intelligence” in regulatory acts at various levels, there is still no definition of artificial intelligence as an object of
ARKHIEREEV Nikolay Viktorovich
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Advanced Engineering Materials, EarlyView.A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
Ethical Review of the Clinical Application of Medical Artificial Intelligence
Yixue yu zhexueThe application of medical artificial intelligence in clinical practice has exerted impacts on traditional a historic reshaping of medical diagnosis and treatment.
Zhe XIN, Shangshu SUN, Xin LI, Fei WANG
doaj +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Advanced Engineering Materials, EarlyView.Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
Hybrid artificial intelligence: Application in the banking sector
Revista de Ciencias SocialesThe integration of smart technologies, from data mining to Artificial Intelligence, has revolutionized the way financial institutions manage and use information.
Daniel Corral de La Mata +2 more
doaj +1 more source
Weighted logics for artificial intelligence – an introductory discussion
International Journal of Approximate Reasoning, 2014 © 2014 Elsevier Inc. Before presenting the contents of the special issue, we propose a structured introductory overview of a landscape of the weighted logics (in a general sense) that can be found in the Artificial Intelligence literature, highlighting their fundamental differences and their application areas.
Didier Dubois, Lluís Godo, Henri Prade
openaire +5 more sources