Machine Learning in Artificial Intelligence: Towards a Common Understanding

03/27/2020
by   Niklas Kühl, et al.
0

The application of "machine learning" and "artificial intelligence" has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we aim to clarify the relationship between these terms and, in particular, to specify the contribution of machine learning to artificial intelligence. We review relevant literature and present a conceptual framework which clarifies the role of machine learning to build (artificial) intelligent agents. Hence, we seek to provide more terminological clarity and a starting point for (interdisciplinary) discussions and future research.

READ FULL TEXT
research
04/06/2023

The Governance of Physical Artificial Intelligence

Physical artificial intelligence can prove to be one of the most importa...
research
12/04/2021

Artificial Intelligence and Machine Learning in Nuclear Physics

Advances in artificial intelligence/machine learning methods provide too...
research
11/28/2018

A Survey of Evaluation Methods and Measures for Interpretable Machine Learning

The need for interpretable and accountable intelligent system gets sensi...
research
04/12/2021

Machine learning and deep learning

Today, intelligent systems that offer artificial intelligence capabiliti...
research
02/04/2019

Evaluation of Multidisciplinary Effects of Artificial Intelligence with Optimization Perspective

Artificial Intelligence has an important place in the scientific communi...
research
01/07/2020

Artificial Intelligence for Social Good: A Survey

Artificial intelligence for social good (AI4SG) is a research theme that...
research
02/24/2023

Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues

Reproducibility is one of the core dimensions that concur to deliver Tru...

Please sign up or login with your details

Forgot password? Click here to reset