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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》将发表关于机器学习、机器人和人工智能等广泛主题的高质量原创研究和评论。该期刊还将探讨这些领域对其他科学学科、社会和工业的重大影响。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，机器智能为增强人类能力和知识提供了无数机会。同时，随着自然机器智能的快速发展，许多关于伦理、社会和法律的问题也随之出现。该期刊将为讨论这些广泛影响提供一个平台，鼓励跨学科的对话，包括评论、新闻专题、新闻和观点文章以及通信。

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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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Sliding-attention transformer neural architecture for predicting T cell receptor–antigen–human leucocyte antigen binding

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Reusability report: Annotating metabolite mass spectra with domain-inspired chemical formula transformers

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Machine learning for data-centric epidemic forecasting

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Development of AI-assisted microscopy frameworks through realistic simulation with pySTED

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Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations

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Wing-strain-based flight control of flapping-wing drones through reinforcement learning

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Poisoning medical knowledge using large language models

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A multiscale approach for biomedical machine learning

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Zero-shot transfer of protein sequence likelihood models to thermostability prediction

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An end-to-end recurrent compressed sensing method to denoise, detect and demix calcium imaging data

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Sparse learned kernels for interpretable and efficient medical time series processing

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Pre-training with fractional denoising to enhance molecular property prediction

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Realizing full-body control of humanoid robots

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

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

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Efficient and scalable reinforcement learning for large-scale network control

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

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A step forward in tracing and documenting dataset provenance

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Learning integral operators via neural integral equations

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

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

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

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A bioactivity foundation model using pairwise meta-learning

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

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

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Cognitive maps from predictive vision

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

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

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Deep learning prediction of glycopeptide tandem mass spectra powers glycoproteomics

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

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A question of trust for AI research in medicine

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DNA language model GROVER learns sequence context in the human genome

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

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Automated construction of cognitive maps with visual predictive coding

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

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The need for reproducible research in soft robotics

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Realistic morphology-preserving generative modelling of the brain

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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

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An interpretable deep learning framework for genome-informed precision oncology

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Shielding sensitive medical imaging data

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Molecular set representation learning

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

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

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Visual odometry with neuromorphic resonator networks

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Machine learning for micro- and nanorobots

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Neuromorphic visual scene understanding with resonator networks

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Will generative AI transform robotics?

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Challenges, evaluation and opportunities for open-world learning

2024-6-24

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研飞客户端支持数万种期刊查询，助你在阅读和写作中随时了解期刊动态

Nature Machine Intelligence

阅读文献时，研飞即可帮你快速了解期刊，查询影响因子与分区，智能高亮期刊预警！

期刊引文格式

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有5位以上作者的期刊

书籍引用格式

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最新文章

Sliding-attention transformer neural architecture for predicting T cell receptor–antigen–human leucocyte antigen binding

Reusability report: Annotating metabolite mass spectra with domain-inspired chemical formula transformers

Machine learning for data-centric epidemic forecasting

Development of AI-assisted microscopy frameworks through realistic simulation with pySTED

Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations

Wing-strain-based flight control of flapping-wing drones through reinforcement learning

Poisoning medical knowledge using large language models

A multiscale approach for biomedical machine learning

Zero-shot transfer of protein sequence likelihood models to thermostability prediction

An end-to-end recurrent compressed sensing method to denoise, detect and demix calcium imaging data

Sparse learned kernels for interpretable and efficient medical time series processing

Pre-training with fractional denoising to enhance molecular property prediction

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

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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

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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

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Neuromorphic visual scene understanding with resonator networks

Will generative AI transform robotics?

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帮你贴心管理全部的文献研飞ivySCI，高效的论文管理

帮你贴心管理全部的文献
研飞ivySCI，高效的论文管理