Considerations upon the Machine Learning Technologies
Alin Munteanu, Cristina Ofelia Sofran

TL;DR
This paper discusses the scope and implications of machine learning technologies within artificial intelligence, highlighting their ability to enable computers to learn and their varying roles in automating or augmenting human intelligence.
Contribution
It provides an overview of machine learning technologies, emphasizing their potential to replace or collaborate with human intelligence across different systems.
Findings
Machine learning enables computers to learn from data.
Some systems eliminate human involvement, others collaborate.
The technologies have broad applications across domains.
Abstract
Artificial intelligence offers superior techniques and methods by which problems from diverse domains may find an optimal solution. The Machine Learning technologies refer to the domain of artificial intelligence aiming to develop the techniques allowing the computers to "learn". Some systems based on Machine Learning technologies tend to eliminate the necessity of the human intelligence while the others adopt a man-machine collaborative approach.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInternet of Things and AI · Knowledge Management and Technology · Big Data and Digital Economy
