nature machine intelligence review time

9 rows Duration first review round. New model improves accuracy of machine learning in COVID-19 diagnosis while preserving privacy.

Nature Machine Intelligence

Labelled molecule data can be expensive and time consuming to acquire.

. If your manuscript is sent to reviewers please share with the community how many days the evaluated process took by editors office not include the evaluated process of reviewers. BISPLKAIST BISPL is a group of people at KAIST who are eager to dedicate their time and effort to investigate the beauty of bio- and medical imaging with the help of mathematics. Machine learning has been at the forefront of the movement for free and open access to research.

Nature Machine Intelligence Acceptance Rate Acceptance Rate. The journal will also explore and discuss emerging cross-disciplinary themes such as human-robot interaction and provide a platform to discuss the significant impact that AI has on other fields in science society and industry. Researchers in the UK and China have developed an artificial intelligence AI model that can diagnose COVID-19 as well as a panel of professional radiologists while preserving the privacy of patient data.

Due to the limited labelled data it. Nature Machine Intelligence is an online-only journal publishing research and perspectives from the fast-moving fields of artificial intelligence machine learning and robotics. 1 What you need to know before initial submission.

As with all Nature Research journals these three new titles will be characterised by a fair and rigorous peer-review process high standards of copy-editing and. Browse open access articles across machine learning energy science devices and more. In late 2017 popular scientific journal Nature announced plans to debut a new online publication Nature Machine Intelligence in early 2019.

Recent Review Article at Nature Machine Intelligence by Prof. Statement on Nature Machine Intelligence. Ad Articles on devices machine learning biotechnology and methods applied physics.

The acceptance rate for an academic journal is dependent upon the relative demand for publishing in a particular journal the peer review processes in place the mix of invited and unsolicited submissions and time to publication among others. Nature Machine Intelligence will publish research from a wide range of topics in machine learning robotics and AI. Nature Machine Intelligence Nature Metabolism and Nature Reviews Physics will be online-only subscription-based journals that will open for submissions in 2018 with their first issues published in January 2019.

For example in 2001 the Editorial Board of the Machine Learning Journal resigned en masse to form a new zero-cost open access journal the Journal of Machine Learning Research JMLR. 12232020 Comments are closed. Make sure Nature Machine Intelligence is the most suitable journal for your work Aims and.

Compare Total handling time accepted manuscripts. Publishing online monthly from January 2019 Nature Machine Intelligence is interested in the best research from across the. Based on the Nature Machine Intelligence Review Speed Feedback System it takes authors 480 days to get the first editorial decision.

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