… These advances in machine learning are not a prototype for “artificial general intelligence”:
a broad general-purpose intelligence that can, like the human brain, independently be …

… with the emergence of artificial intelligence (AI), machine learning (ML), and deep learning
(DL) technologies in recent years. Artificial intelligence is a multidimensional technology with …

… , learning intricate patterns from even high-dimensional raw data with little guidance6 and
continuously improving. how might machine learning and deep learning … machine learning to …

… deep learning (DL) are all important technologies in the field of robotics [1]. The term artificial
intelligence (AI) describes a machine's … A branch of AI known as "machine learning" uses …

… the enormous potential of artificial intelligence and deep learning. Furthermore, self-driving …
artificial intelligence. In this article, we look at trust in artificial intelligence, machine learning (…

… computing, algorithms enabling machine learning, especially deep learning networks that
mimic … AI applications including machine learning and deep learning and their applications in …

… , sensors and social media users, the machine can learn to distinguish the pattern and …
of machine learning and its methodologies. Furthermore, the field of deep learning which is …

… Research in molecular sciences witnessed the rise and fall of Artificial Intelligence (AI)/
Machine Learning (ML) methods, especially artificial neural networks, few decades ago. However…

… This section reviews the gains in artificial intelligence, machine learning, and deep learning.
The information presented is valuable especially for those interested in these sciences. …

… The focus of this research is to analyze the impact of AI, machine learning, automation, and
… next section provides introductions to AI, machine learning, automation, and robotics. Then, …