… As artificial intelligence and machine learning scientists have … application of machine learning
and artificial intelligence to … future artificial intelligence and machine learning research to …

… Artificial intelligence, machine learning, and deep learning can be seen as matryoshkas
nested in each other. Artificial intelligence gathers … Machine learning is the dominant branch of …

Artificial intelligence, especially machine learning (ML) and deep learning (DL) algorithms,
is becoming an important tool in the fields of materials and mechanical engineering, …

… the role of artificial intelligence (AI), machine learning (ML), and deep reinforcement learning
(… of the applications of the prior techniques in intelligent transportation systems (ITSs), cyber-…

… artificial intelligence, data mining and machine learning as … artificial intelligence and machine
learning. PROBLEMS WITH ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING (…

… These improvements in storage and speed have allowed machine learning to progress
from a dream to reality. Data in both panels are estimates from many types of system …

… is completely based on artificial intelligence (AI) or machine learning (ML) or deep learning
(DL) … , this study provides a literature study of machine learning and AI in the food industry. …

… (teaching and learning) issues can be addressed as well as organisational ones. Thus,
critical concepts of the paper refer to artificial intelligence, machine learning, e-learning and …

Artificial intelligence (AI) is the use of mathematical algorithms to mimic human cognitive
abilities and to address difficult healthcare challenges including complex biological …

… response can only be mounted by using intelligence derived from a variety of data sources
… addressed by recent developments in machine learning (ML) and artificial intelligence (AI). …