Nature Machine Intelligence

Article	Citations
Materiality and risk in the age of pervasive AI sensors	425
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	332
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	325
Artificial intelligence tackles the nature–nurture debate	313
Wiring up recurrent neural networks	305
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	280
Physical benchmarks for testing algorithms	276
Investigating machine moral judgement through the Delphi experiment	272
A challenge for the law and artificial intelligence	268
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	245
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	198
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	185
Human autonomy in the age of artificial intelligence	184
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	181
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	172
Discussions of machine versus living intelligence need more clarity	170
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	165
Robotic body augmentation	164
Fast and generalizable micromagnetic simulation with deep neural nets	156
A question of trust for AI research in medicine	151
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI	151
Quantum circuit optimization with AlphaTensor	148
A Global South perspective for ethical algorithms and the State	148
Transformer-based protein generation with regularized latent space optimization	145
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	144

Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction	144
AI pioneers win 2024 Nobel prizes	141
Reusability report: Learning the language of synthetic methods used in medicinal chemistry	136
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	134
The curious case of the test set AUROC	134
Sparsity provides a competitive advantage	134
Advancing ethics review practices in AI research	132
Maximum diffusion reinforcement learning	131
Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	130
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	127
Bringing artificial intelligence to business management	120
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics	120
End-to-end privacy preserving deep learning on multi-institutional medical imaging	120
Learning function from structure in neuromorphic networks	118
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning	118
What’s the next word in large language models?	117
Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	116
Deep-learning-based identification, tracking, pose estimation and behaviour classification of interacting primates and mice in complex environments	111
Combinatorial optimization with physics-inspired graph neural networks	109
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin	106
Learning from models beyond fine-tuning	103
A human in the loop in surgery automation	102
Machine learning prediction of enzyme optimum pH	97
How to break information cocoons	94
Codon language embeddings provide strong signals for use in protein engineering	91
Laplace neural operator for solving differential equations	88
Multi-animal 3D social pose estimation, identification and behaviour embedding with a few-shot learning framework	88
Collaborative creativity in AI	86
AI reality check	86
Bridging peptide presentation and T cell recognition with multi-task learning	86
Life-threatening ventricular arrhythmia detection challenge in implantable cardioverter–defibrillators	84
Image-based generation for molecule design with SketchMol	84
The TRIPOD-P reporting guideline for improving the integrity and transparency of predictive analytics in healthcare through study protocols	82
Foundation models in healthcare require rethinking reliability	82
Unsupervised learning of topological non-Abelian braiding in non-Hermitian bands	81
Designing a strong test for measuring true common-sense reasoning	80
Learning high-level visual representations from a child’s perspective without strong inductive biases	80
A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments	78
What is in your LLM-based framework?	77
Accurate and robust protein sequence design with CarbonDesign	77
Autoregressive neural-network wavefunctions for ab initio quantum chemistry	76
Fitting elephants in modern machine learning by statistically consistent interpolation	75
Seeking a quantum advantage for machine learning	75
Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning	74
Neural scaling of deep chemical models	72
Morphological flexibility in robotic systems through physical polygon meshing	72
Tandem mass spectrum prediction for small molecules using graph transformers	70
Efficient generation of protein pockets with PocketGen	70
Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation	69
A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks	68

LLM-based agentic systems in medicine and healthcare	67
A deep generative model for molecule optimization via one fragment modification	66
Autonomous environment-adaptive microrobot swarm navigation enabled by deep learning-based real-time distribution planning	65
A deep generative model enables automated structure elucidation of novel psychoactive substances	65
Multimodal learning with graphs	65
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer	63
Human–AI adaptive dynamics drives the emergence of information cocoons	63
Writing the rules in AI-assisted writing	62
ARNLE model identifies prevalence potential of SARS-CoV-2 variants	61
Advanced AI assistants that act on our behalf may not be ethically or legally feasible	60
Moving towards genome-wide data integration for patient stratification with Integrate Any Omics	59
Learning plastic matching of robot dynamics in closed-loop central pattern generators	58
Foundation models and the privatization of public knowledge	57
Geometric deep learning reveals the spatiotemporal features of microscopic motion	57
Differentiable visual computing for inverse problems and machine learning	55
Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy	55
From attribution maps to human-understandable explanations through Concept Relevance Propagation	55
Improving de novo molecular design with curriculum learning	55
Reconstructing growth and dynamic trajectories from single-cell transcriptomics data	54
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling	54
A method for multiple-sequence-alignment-free protein structure prediction using a protein language model	54
A neuro-vector-symbolic architecture for solving Raven’s progressive matrices	54
Anniversary AI reflections	54
Segmentation of neurons from fluorescence calcium recordings beyond real time	53
Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis	53
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning	52
The transformational role of GPU computing and deep learning in drug discovery	52
Barriers to academic data science research in the new realm of algorithmic behaviour modification by digital platforms	52
Successful implementation of the EU AI Act requires interdisciplinary efforts	51
Human-behaviour-based social locomotion model improves the humanization of social robots	51
Publisher Correction: A neural machine code and programming framework for the reservoir computer	51
A social network for AI	51
Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals	50
Mode switching in organisms for solving explore-versus-exploit problems	50
Active learning for optimal intervention design in causal models	50
Leveraging language model for advanced multiproperty molecular optimization via prompt engineering	49
Closed-form continuous-time neural networks	49
Learning integral operators via neural integral equations	49
Distinguishing two features of accountability for AI technologies	49
Benchmarking AI-powered docking methods from the perspective of virtual screening	48
CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling	48
Delineating the effective use of self-supervised learning in single-cell genomics	47
Improving customer decisions in web-based e-commerce through guerrilla modding	47
Defending ChatGPT against jailbreak attack via self-reminders	47
Deep learning for predicting rate-induced tipping	47
Advances, challenges and opportunities in creating data for trustworthy AI	47
Artificial intelligence-powered electronic skin	47
Machine learning-enabled globally guaranteed evolutionary computation	47
Epistemic fragmentation poses a threat to the governance of online targeting	46
Interpretable meta-score for model performance	46
Listening in to perceived speech with contrastive learning	46
On board with COMET to improve omics prediction models	45
A computational framework for neural network-based variational Monte Carlo with Forward Laplacian	45
Prediction of robust scientific facts from literature	45
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology	45
Incorporating physics into data-driven computer vision	44
Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model	44
A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction	43
Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning	42
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors	42
A generalizable deep learning framework for inferring fine-scale germline mutation rate maps	42
Three types of incremental learning	41
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases	41
Deep transfer operator learning for partial differential equations under conditional shift	41
Invalid SMILES are beneficial rather than detrimental to chemical language models	40
The incentive gap in data work in the era of large models	40
Molecular contrastive learning of representations via graph neural networks	40
Augmenting large language models with chemistry tools	40
Large language models challenge the future of higher education	40
AI podcasts for the summer	39
Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks	39
Automated construction of cognitive maps with visual predictive coding	39
Space missions out of this world with AI	38
Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations	38
Deconstructing the generalization gap	38
Hierarchical deep reinforcement learning reveals a modular mechanism of cell movement	38
Automated causal inference in application to randomized controlled clinical trials	37
Publisher Correction: Advancing ethics review practices in AI research	37
Labelling instructions matter in biomedical image analysis	36
Improved protein structure prediction by deep learning irrespective of co-evolution information	36

Realistic morphology-preserving generative modelling of the brain	36
Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition	36
Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networks	36
Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions	36
Physics-based machine learning for subcellular segmentation in living cells	35
Visual speech recognition for multiple languages in the wild	35
Towards unveiling sensitive and decisive patterns in explainable AI with a case study in geometric deep learning	35
Synergy-based robotic quadruped leveraging passivity for natural intelligence and behavioural diversity	35
A soft touch for robots	35
Design of prime-editing guide RNAs with deep transfer learning	35
No chemical killer AI (yet)	34
Weak signal extraction enabled by deep neural network denoising of diffraction data	34
A framework for tool cognition in robots without prior tool learning or observation	34
Simultaneous deep generative modelling and clustering of single-cell genomic data	34
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems	34
Ethics methods are required as part of reporting guidelines for artificial intelligence in healthcare	34
On the caveats of AI autophagy	34
Author Correction: Predicting equilibrium distributions for molecular systems with deep learning	34