Results 41 to 50 of about 45,694 (311)
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
Despite 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
doaj +1 more source
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
Hybrid artificial intelligence: Application in the banking sector
The 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
Logical methods in artificial intelligence applications
Peer ...
Armengol Voltas, Eva +2 more
openaire +4 more sources
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
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
Legal analogical reasoning - the interplay between legal theory and artificial intelligence [PDF]
This thesis examines and critiques attempts by researchers in the field of artificial intelligence and law to simulate legal analogical reasoning.
Aikenhead, Michael
core
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Corporate tax avoidance is an enduring topic. With the advent of the intelligent era, how artificial intelligence affects corporate tax avoidance has become an important topic of existing researches.
Guimin Qu, Hao Jing
doaj +1 more source
Weighted logics for artificial intelligence – an introductory discussion
© 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 +4 more sources

