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Nature Machine Intelligence

短名	Nat Mach Intell
Journal Impact	18.61
国际分区	COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS(Q1)
期刊索引	SCI Q1中科院 1 区

ISSN	2522-5839
h-index	67
国内分区	计算机科学(1区)计算机科学计算机人工智能(1区)计算机科学计算机跨学科应用(1区)
Top期刊	是

NATURE MACHINE INTELLIGENCE 将在机器学习、机器人和人工智能的广泛主题中发表高质量的原创研究和评论。该杂志还将探讨和讨论这些领域开始对其他科学学科以及社会和工业的许多方面产生的重大影响。在科学发现、医疗保健、医学诊断以及安全和可持续的城市、交通和农业等领域，机器智能可以增强人类能力和知识的机会不计其数。与此同时，出现了许多关于道德、社会和法律问题的重要问题，特别是考虑到快速发展的自然机器智能将提供一个平台来讨论这些广泛的影响——鼓励跨学科对话——通过评论、新闻专题、新闻和观点文章以及通信。

期刊主页投稿网址

涉及主题	计算机科学人工智能生物机器学习医学数学工程类业务物理哲学心理学
出版信息	出版商: Springer International Publishing，出版周期: 12 issues per year，期刊类型: journal
基本数据	创刊年份: 2019，原创研究文献占比: 95.61%，自引率:2.70%， Gold OA占比: 20.52%

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Realizing full-body control of humanoid robots

2024-9-11

Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock

2024-9-10

Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling

2024-9-9

Efficient and scalable reinforcement learning for large-scale network control

2024-9-3

A large-scale audit of dataset licensing and attribution in AI

2024-8-30

What is in your LLM-based framework?

2024-8-30

A step forward in tracing and documenting dataset provenance

2024-8-30

Learning integral operators via neural integral equations

2024-8-29

A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features

2024-8-27

Learning motif-based graphs for drug–drug interaction prediction via local–global self-attention

2024-8-27

Factuality challenges in the era of large language models and opportunities for fact-checking

2024-8-22

A bioactivity foundation model using pairwise meta-learning

2024-8-14

On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare

2024-8-12

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases

2024-8-9

Cognitive maps from predictive vision

2024-8-8

Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock

2024-8-5

Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions

2024-8-2

Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics

2024-7-30

Advanced AI assistants that act on our behalf may not be ethically or legally feasible

2024-7-29

A question of trust for AI research in medicine

2024-7-24

DNA language model GROVER learns sequence context in the human genome

2024-7-23

Partial-convolution-implemented generative adversarial network for global oceanic data assimilation

2024-7-22

Automated construction of cognitive maps with visual predictive coding

2024-7-18

A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas

2024-7-18

The need for reproducible research in soft robotics

2024-7-17

Realistic morphology-preserving generative modelling of the brain

2024-7-15

Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands

2024-7-12

High-resolution real-space reconstruction of cryo-EM structures using a neural field network

2024-7-12

An interpretable deep learning framework for genome-informed precision oncology

2024-7-11

Shielding sensitive medical imaging data

2024-7-11

Molecular set representation learning

2024-7-5

Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models

2024-7-5

Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion

2024-6-27

Visual odometry with neuromorphic resonator networks

2024-6-27

Will generative AI transform robotics?

2024-6-27

Neuromorphic visual scene understanding with resonator networks

2024-6-27

Machine learning for micro- and nanorobots

2024-6-27

Challenges, evaluation and opportunities for open-world learning

2024-6-24

Laplace neural operator for solving differential equations

2024-6-24

Coordinate-based neural representations for computational adaptive optics in widefield microscopy

2024-6-24

Reconciling privacy and accuracy in AI for medical imaging

2024-6-21

Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI

2024-6-21

Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models

2024-6-21

Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions

2024-6-21

Machine learning-aided generative molecular design

2024-6-18

Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data

2024-6-17

Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks

2024-6-14

Generic protein–ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling

2024-6-6

Learning efficient backprojections across cortical hierarchies in real time

2024-6-6

Distributed constrained combinatorial optimization leveraging hypergraph neural networks

2024-5-30

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最新文章

Realizing full-body control of humanoid robots

Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock

Accelerating histopathology workflows with generative AI-based virtually multiplexed tumour profiling

Efficient and scalable reinforcement learning for large-scale network control

A large-scale audit of dataset licensing and attribution in AI

What is in your LLM-based framework?

A step forward in tracing and documenting dataset provenance

Learning integral operators via neural integral equations

A deep learning method that identifies cellular heterogeneity using nanoscale nuclear features

Learning motif-based graphs for drug–drug interaction prediction via local–global self-attention

Factuality challenges in the era of large language models and opportunities for fact-checking

A bioactivity foundation model using pairwise meta-learning

On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare

Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases

Cognitive maps from predictive vision

Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock

Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions

Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics

Advanced AI assistants that act on our behalf may not be ethically or legally feasible

A question of trust for AI research in medicine

DNA language model GROVER learns sequence context in the human genome

Partial-convolution-implemented generative adversarial network for global oceanic data assimilation

Automated construction of cognitive maps with visual predictive coding

A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas

The need for reproducible research in soft robotics

Realistic morphology-preserving generative modelling of the brain

Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands

High-resolution real-space reconstruction of cryo-EM structures using a neural field network

An interpretable deep learning framework for genome-informed precision oncology

Shielding sensitive medical imaging data

Molecular set representation learning

Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models

Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion

Visual odometry with neuromorphic resonator networks

Will generative AI transform robotics?

Neuromorphic visual scene understanding with resonator networks

Machine learning for micro- and nanorobots

Challenges, evaluation and opportunities for open-world learning

Laplace neural operator for solving differential equations

Coordinate-based neural representations for computational adaptive optics in widefield microscopy

Reconciling privacy and accuracy in AI for medical imaging

Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI

Interpreting cis-regulatory mechanisms from genomic deep neural networks using surrogate models

Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions

Machine learning-aided generative molecular design

Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data

Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks

Generic protein–ligand interaction scoring by integrating physical prior knowledge and data augmentation modelling

Learning efficient backprojections across cortical hierarchies in real time

Distributed constrained combinatorial optimization leveraging hypergraph neural networks

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