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Artificial intelligence (AI) and Machine Learning (ML)

The use of (AI) and (ML) have become essential for supply chain resilience and efficiency. This chapter examines the state of supply chains, focusing on factors affecting their performance and stability. It explores how companies can become more resilient by leveraging AI and ML applications to predict risks, maximize resources, and respond quickly to ...
Chenjerai Muchenje   +3 more
openaire   +1 more source

Machine learning for alloys

Nature Reviews Materials, 2021
Gus L W Hart, Tim Mueller, Cormac Toher
exaly  

Machine Learning for Chemical Reactions

Chemical Reviews, 2021
Markus Meuwly
exaly  

Prospective clinical deployment of machine learning in radiation oncology

Nature Reviews Clinical Oncology, 2021
Issam El Naqa
exaly  

Machine learning technology in biodiesel research: A review

Progress in Energy and Combustion Science, 2021
Mortaza Aghbashlo   +2 more
exaly  

Navigating the pitfalls of applying machine learning in genomics

Nature Reviews Genetics, 2021
Sean Whalen   +2 more
exaly  

Colloquium : Machine learning in nuclear physics

Reviews of Modern Physics, 2022
Amber S Boehnlein   +2 more
exaly  

Artificial Intelligence (AI) and Machine Learning (ML)

2022
José Luiz Frauendorf   +1 more
openaire   +1 more source

Swarm Learning for decentralized and confidential clinical machine learning

Nature, 2021
Stefanie Warnat-Herresthal   +2 more
exaly  

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