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Journal Photo for Nature Machine Intelligence
Peer reviewed only Open Access

Nature Machine Intelligence (NMI)

Publisher : Springer Nature
Computer Science Communications Artificial Intelligence
Claim Your Journal Get PRC Visit Website
e-ISSN 2522-5839
Issue Frequency Monthly
Est. Year 2024
Mobile 442078334000
Country United Kingdom
Language English
APC YES
Impact Factor Assignee Google Scholar
Email l.venema@nature.com

Journal Descriptions

Nature Machine Intelligence publishes high-quality original research and reviews in a wide range of topics in machine learning, robotics and AI. We also explore and discuss the significant impact that these fields have on other scientific disciplines as well as many aspects of society and industry. There are countless opportunities where machine intelligence can enhance human capabilities and knowledge in fields such as scientific discovery, healthcare, medical diagnostics and safe and sustainable cities, transport and agriculture. At the same time, many important questions on ethical, social and legal issues arise, especially given the fast pace of developments. Nature Machine Intelligence provides a platform to discuss these wide implications — encouraging a cross-disciplinary dialogue — with Comments, News Features, News & Views articles and also Correspondence. Publishing online monthly from January 2019, Nature Machine Intelligence is interested in the best research from across the fields of artificial intelligence, machine learning and robotics. All editorial decisions are made by a team of full-time professional editors. Our electronic international standard serial number (EISSN) is 2522-5839.

Nature Machine Intelligence (NMI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Computer Science, Communications, Artificial Intelligence, Human-Computer Interaction, Software, Computer Vision, Pattern Recognition , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2522-5839, Established: 2024,
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of NMI

Machine learning-aided generative molecular design
Pietro Liò June, 2024
Machine learning has provided a means to accelerate early-stage drug discovery by combining molecule generation and filtering steps in a single architecture that leverages the experience and...
Navigating the development challenges in creating complex data systems
Pietro Liò June, 2023
Data science systems (DSSs) are a fundamental tool in many areas of research and are now being developed by people with a myriad of backgrounds. This is coupled with a crisis in the reproduc...
Hypergraph factorization for multi-tissue gene expression imputation
Pietro Liò July, 2023
Integrating gene expression across tissues and cell types is crucial for understanding the coordinated biological mechanisms that drive disease and characterize homoeostasis. However, tradit...