Machine Learning: Science and Technology is a peer-reviewed english-language open-access journal published by IOP Publishing in United Kingdom, operating under an open-access model since 2020. The journal covers Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware and Mathematics: Instruments and machines: Electronic computers. Computer science.
Authors are required to pay an article processing charge to publish in Machine Learning: Science and Technology; refer to the journal's APC page for the current rate. A waiver policy is offered for eligible authors. Articles are released under the CC BY, Publisher's own license license (see other journals using this license).
To date, Machine Learning: Science and Technology has published 1,315 articles. Articles are minted with DOIs through the prefix 10.1088. All submissions undergo plagiarism screening before peer review.
Keywords
machine learning, artificial intelligence, computational physics, reinforcement learning, neural networks, applied algorithms
At a glance
- Publisher
- IOP Publishing
- Country
- United Kingdom
- Primary language
- English
- License
- CC BY, Publisher's own license
- Peer review
- Anonymous peer review
- OA since
- 2020
- Review time
- 13 weeks
- DOI prefix
10.1088- Plagiarism check
- Yes
ISSN
- electronic
- 2632-2153
Frequently asked questions
Is Machine Learning: Science and Technology peer-reviewed?
Does Machine Learning: Science and Technology charge an article processing charge (APC)?
What subjects does Machine Learning: Science and Technology publish?
What languages does Machine Learning: Science and Technology accept?
What is the ISSN of Machine Learning: Science and Technology?
2632-2153 (electronic).