Aims and Scope of Nature Machine Intelligence
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. Less
Key Metrics
CiteScore 

16.3
Eigenfactor 

0.001 - 0.005
Impact Factor 

20 - 25
SJR 

Q1Software

SNIP 

6.96
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Topics Covered on Nature Machine Intelligence
Nature Machine Intelligence Journal Specifications
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SJR
| Overview | |
| Publisher | NATURE PORTFOLIO |
| Language | English |
| Frequency | Monthly |
| General Details |
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Recently Published Papers in Nature Machine Intelligence
Force-free molecular dynamics through autoregressive equivariant networks
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A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules
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A domain-adapted large language model to support clinicians in psychiatric clinical practice
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Fluid thinking about collective intelligence
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Adopting a human developmental visual diet yields robust and shape-based AI vision
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Programmable RNA translation through deep learning-driven IRES discovery and de novo generation
- 24 Apr 2026
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Force-free molecular dynamics through autoregressive equivariant networks
- 5 May 2026
- Nature Machine Intelligence
A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules
- 4 May 2026
- Nature Machine Intelligence
A domain-adapted large language model to support clinicians in psychiatric clinical practice
- 27 Apr 2026
- Nature Machine Intelligence
Fluid thinking about collective intelligence
- 24 Apr 2026
- Nature Machine Intelligence
Adopting a human developmental visual diet yields robust and shape-based AI vision
- 24 Apr 2026
- Nature Machine Intelligence
Programmable RNA translation through deep learning-driven IRES discovery and de novo generation
- 24 Apr 2026
- Nature Machine Intelligence