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How can artificial intelligence impact sustainability: A systematic literature review
We need a proper mechanism to manage issues related to our environment, economy, and
society to proceed toward sustainability. Many researchers have worked for sustainable …
society to proceed toward sustainability. Many researchers have worked for sustainable …
[HTML][HTML] Integrating machine learning with human knowledge
Machine learning has been heavily researched and widely used in many disciplines.
However, achieving high accuracy requires a large amount of data that is sometimes …
However, achieving high accuracy requires a large amount of data that is sometimes …
The rise of artificial intelligence under the lens of sustainability
Since the 1950s, artificial intelligence (AI) has been a recurring topic in research. However,
this field has only recently gained significant momentum because of the advances in …
this field has only recently gained significant momentum because of the advances in …
On the integration of knowledge graphs into deep learning models for a more comprehensible AI—Three challenges for future research
Deep learning models contributed to reaching unprecedented results in prediction and
classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable …
classification tasks of Artificial Intelligence (AI) systems. However, alongside this notable …
Onto2vec: joint vector-based representation of biological entities and their ontology-based annotations
Motivation Biological knowledge is widely represented in the form of ontology-based
annotations: ontologies describe the phenomena assumed to exist within a domain, and the …
annotations: ontologies describe the phenomena assumed to exist within a domain, and the …
[HTML][HTML] The impact of artificial intelligence on the tasks of mental healthcare workers: A sco** review
Abstract Background Artificial Intelligence (AI) is expected to transform the work context
deeply. Currently, multiple AI systems are being studied and applied in the mental …
deeply. Currently, multiple AI systems are being studied and applied in the mental …
Logic-based technologies for intelligent systems: State of the art and perspectives
Together with the disruptive development of modern sub-symbolic approaches to artificial
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …
intelligence (AI), symbolic approaches to classical AI are re-gaining momentum, as more …
The role of artificial intelligence in crop improvement
The growing global demands for agricultural goods will require accelerated crop
improvement. High-throughput genomic, phenomic, enviromic and other multi-omic data …
improvement. High-throughput genomic, phenomic, enviromic and other multi-omic data …
Artificial intelligence: A clarification of misconceptions, myths and desired status
The field artificial intelligence (AI) was founded over 65 years ago. Starting with great hopes
and ambitious goals the field progressed through various stages of popularity and has …
and ambitious goals the field progressed through various stages of popularity and has …
Applications of artificial intelligence and machine learning in metal additive manufacturing
LJ Ladani - Journal of Physics: Materials, 2021 - iopscience.iop.org
Artificial intelligence (AI) and additive manufacturing (AM) are both disruptive new
technologies. AI has entered many aspects of our lives, but has not been fully realized in the …
technologies. AI has entered many aspects of our lives, but has not been fully realized in the …