Nature Machine Intelligence

Article	Citations
A new regulatory framework for algorithm-powered recommendation services in China	1018
Visual cognition in multimodal large language models	691
Towards highly sensitive deep learning-based end-to-end database search for tandem mass spectrometry	392
Investigating machine moral judgement through the Delphi experiment	328
AI on the beach	294
Resource-efficient inference for particle physics	294
A generalizable deep learning framework for inferring fine-scale germline mutation rate maps	240
Molecular contrastive learning of representations via graph neural networks	226
Quantum circuit synthesis with diffusion models	225
A cautionary tale about the adoption of medical AI in Sweden	224
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases	197
Safe driving cars	190
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	189
A challenge for the law and artificial intelligence	184
Many-body control with reinforcement learning and tensor networks	162
A year of racing ahead with AI and not breaking things	162
Adversarial competition and collusion in algorithmic markets	154
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	151
Transferring policy of deep reinforcement learning from simulation to reality for robotics	135
AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy	134
Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model	134
Improving Wikipedia verifiability with AI	124
Playing with symmetry with neural networks	123
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning	120
Listening in to perceived speech with contrastive learning	120

Learning equilibria in symmetric auction games using artificial neural networks	119
The incentive gap in data work in the era of large models	119
Asymmetric predictive relationships across histone modifications	118
When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations	118
Prediction of robust scientific facts from literature	114
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology	113
Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation	113
Deep reinforcement learning-designed radiofrequency waveform in MRI	112
Variational neural annealing	110
Human autonomy in the age of artificial intelligence	108
Meta-learning for T cell receptor binding specificity and beyond	107
The democratization of global AI governance and the role of tech companies	106
Ethical hazards of health data governance in the metaverse	104
Cognitive maps from predictive vision	100
A teachable moment for dual-use	100
High-resolution real-space reconstruction of cryo-EM structures using a neural field network	100
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions	100
Physical human–robot interaction for clinical care in infectious environments	97
Artificial intelligence tackles the nature–nurture debate	95
Connecting molecular properties with plain language	95
Machine learning for practical quantum error mitigation	94
Discussions of machine versus living intelligence need more clarity	92
Deep learning for predicting rate-induced tipping	92
Reply to: Limitations in odour recognition and generalization in a neuromorphic olfactory circuit	91
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors	90
Machine learning and computation-enabled intelligent sensor design	90
Radiological tumour classification across imaging modality and histology	89
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI	89
Real-world embodied AI through a morphologically adaptive quadruped robot	87
Intelligent problem-solving as integrated hierarchical reinforcement learning	86
Wiring up recurrent neural networks	85
Multiscale simulations of complex systems by learning their effective dynamics	84
A computational framework for neural network-based variational Monte Carlo with Forward Laplacian	81
Engineering flexible machine learning systems by traversing functionally invariant paths	81
Pre-training with fractional denoising to enhance molecular property prediction	79
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	79
Pick your AI poison	79
Machine learning-enabled globally guaranteed evolutionary computation	76
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion	75
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	70
A critical problem in benchmarking and analysis of evolutionary computation methods	68
Three types of incremental learning	68
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	68
Development of metaverse for intelligent healthcare	66
Deep transfer operator learning for partial differential equations under conditional shift	63
Improving customer decisions in web-based e-commerce through guerrilla modding	63
Mitigating allocative tradeoffs and harms in an environmental justice data tool	61
Super-resolution generative adversarial networks of randomly-seeded fields	61
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	60
Incorporating physics into data-driven computer vision	60

Speeding up machine hearing	60
The pitfalls of negative data bias for the T-cell epitope specificity challenge	59
DNA language model GROVER learns sequence context in the human genome	58
Echo state graph neural networks with analogue random resistive memory arrays	58
Interpretable meta-score for model performance	58
Encoding of tactile information in hand via skin-integrated wireless haptic interface	57
Deep recurrent optical flow learning for particle image velocimetry data	56
Interpreting neural networks for biological sequences by learning stochastic masks	56
Accelerated rational PROTAC design via deep learning and molecular simulations	56
Evaluating protein binding interfaces with transformer networks	55
Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support	55
A definition, benchmark and database of AI for social good initiatives	54
Morphological and molecular breast cancer profiling through explainable machine learning	54
Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness	52
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves	51
Invalid SMILES are beneficial rather than detrimental to chemical language models	51
Supervised learning of high-confidence phenotypic subpopulations from single-cell data	50
Augmenting large language models with chemistry tools	50
Calibrated geometric deep learning improves kinase–drug binding predictions	50
Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines	49
A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design	48
Publisher Correction: Dimensionality reduction to maximize prediction generalization capability	48
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	48
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	46
Deep learning models for predicting RNA degradation via dual crowdsourcing	46
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	46
AI model transferability in healthcare: a sociotechnical perspective	45
Publisher Correction: Back to the future with machine learning	45
Developing robust benchmarks for driving forward AI innovation in healthcare	45
Epistemic fragmentation poses a threat to the governance of online targeting	44
AI reflections in 2021	44
Large language models challenge the future of higher education	43
New deepfake regulations in China are a tool for social stability, but at what cost?	43
Lessons from infant learning for unsupervised machine learning	43
Visual speech recognition for multiple languages in the wild	43
A Global South perspective for ethical algorithms and the State	42
Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model	41
A multiscale approach for biomedical machine learning	41
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications	41
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics	40
Physics-based machine learning for subcellular segmentation in living cells	39
Maximum diffusion reinforcement learning	39
Lessons from the first DBTex Challenge	38
Deconstructing the generalization gap	38
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules	38
Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities	37
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators	37
A collective AI via lifelong learning and sharing at the edge	37
Is it five already?	37
Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networks	36
Sparsity provides a competitive advantage	36
A super-resolution strategy for mass spectrometry imaging via transfer learning	36
Enhancing hyperspectral imaging	36
AI podcasts for the summer	36
End-to-end privacy preserving deep learning on multi-institutional medical imaging	36
Environmental robotics for a sustainable future in circular economies	36
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	35
Robotic body augmentation	35
Much to discuss in AI ethics	34
Listen to this	34
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems	33
Defining a role for AI ethics in national security	33
Battery lifetime prediction across diverse ageing conditions with inter-cell deep learning	33
Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	32
Advancing ethics review practices in AI research	32
Automated causal inference in application to randomized controlled clinical trials	32
Space missions out of this world with AI	32
What large language models know and what people think they know	32
Realistic morphology-preserving generative modelling of the brain	32
The curious case of the test set AUROC	32
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN	31
Learning interpretable representations of entanglement in quantum optics experiments using deep generative models	31
Reusability report: Learning the language of synthetic methods used in medicinal chemistry	31
A touch of virtual reality	31
Introducing contextual transparency for automated decision systems	30
A question of trust for AI research in medicine	30
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning	29
Deep learning STEM-EDX tomography of nanocrystals	29
Don’t pause giant AI for the wrong reasons	29
Medical artificial intelligence is as much social as it is technological	29

Predictive control of aerial swarms in cluttered environments	28
Federated learning is not a cure-all for data ethics	28
A textile exomuscle that assists the shoulder during functional movements for everyday life	28
Variational autoencoder for design of synthetic viral vector serotypes	28
Design of prime-editing guide RNAs with deep transfer learning	28
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	28
Does it matter if empathic AI has no empathy?	27
Neurons learn by predicting future activity	27
Automated construction of cognitive maps with visual predictive coding	27
Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction	27
Judging the creative prowess of AI	27
Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions	27
Hierarchical deep reinforcement learning reveals a modular mechanism of cell movement	26
Reducing racial bias in AI models for clinical use requires a top-down intervention	26
Development of AI-assisted microscopy frameworks through realistic simulation with pySTED	26
Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks	26
Poisoning medical knowledge using large language models	26
Distributed constrained combinatorial optimization leveraging hypergraph neural networks	25
Towards quantum enhanced adversarial robustness in machine learning	25
A temporally resolved DNA framework state machine in living cells	25
Decoding speech perception from non-invasive brain recordings	24
Contrastive learning enables rapid mapping to multimodal single-cell atlas of multimillion scale	24
Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition	24
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes	24
Learning spatiotemporal dynamics with a pretrained generative model	23
Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning	23
AI in biomaterials discovery: generating self-assembling peptides with resource-efficient deep learning	23
Transformer-based protein generation with regularized latent space optimization	23
Toward a framework for risk mitigation of potential misuse of artificial intelligence in biomedical research	23
Contextual feature extraction hierarchies converge in large language models and the brain	23
A multi-use deep learning method for CITE-seq and single-cell RNA-seq data integration with cell surface protein prediction and imputation	23
Machine learning-aided generative molecular design	22
Publisher Correction: Advancing ethics review practices in AI research	22
Machine learning and algorithmic fairness in public and population health	22
A plea for caution and guidance about using AI in genomics	22
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging	21
Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy	21
Epitope-anchored contrastive transfer learning for paired CD8+ T cell receptor–antigen recognition	21
Factuality challenges in the era of large language models and opportunities for fact-checking	21
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	21
Bringing artificial intelligence to business management	21
Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices	20
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires	20
Geometric deep learning on molecular representations	20
Fast and generalizable micromagnetic simulation with deep neural nets	20
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding	20
Institutionalizing ethics in AI through broader impact requirements	20
AI pioneers win 2024 Nobel prizes	20
Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks	20
Research community dynamics behind popular AI benchmarks	20
Stable learning establishes some common ground between causal inference and machine learning	19
Improved protein structure prediction by deep learning irrespective of co-evolution information	19
Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging	19
Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations	19
Biological research and self-driving labs in deep space supported by artificial intelligence	19
Generalizability of an acute kidney injury prediction model across health systems	19
Knowledge graph-enhanced molecular contrastive learning with functional prompt	19
Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models	19
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network	19
Accurate prediction of molecular properties and drug targets using a self-supervised image representation learning framework	18
Reusability report: Deep learning-based analysis of images and spectroscopy data with AtomAI	18
Labelling instructions matter in biomedical image analysis	18
Dimensionality reduction to maximize prediction generalization capability	18
State-specific protein–ligand complex structure prediction with a multiscale deep generative model	18
Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition	18
Federated benchmarking of medical artificial intelligence with MedPerf	18
Machine learning solutions looking for PDE problems	17
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems	17
A new age for content filters	17
Identifying important sensory feedback for learning locomotion skills	17
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set	17
Reconciling privacy and accuracy in AI for medical imaging	16
A fast blind zero-shot denoiser	16
Data-driven discovery of intrinsic dynamics	16
Improving image labelling quality	15
Weak signal extraction enabled by deep neural network denoising of diffraction data	15
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers	15
Stable Cox regression for survival analysis under distribution shifts	15
Machine intelligence enabled radiomics	15
Estimating categorical counterfactuals via deep twin networks	15
Challenges and opportunities in translating ethical AI principles into practice for children	14
Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models	14
A context-aware deconfounding autoencoder for robust prediction of personalized clinical drug response from cell-line compound screening	14
Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging	14
Author Correction: Predicting equilibrium distributions for molecular systems with deep learning	14
Iterative human and automated identification of wildlife images	14
Direct-to-consumer medical machine learning and artificial intelligence applications	14
A cautionary tale from the machine scientist	13
Geometric deep learning of particle motion by MAGIK	13
Escape from flatland	13
Potent antimalarial drugs with validated activities	13
AI, COVID-19 and the long haul	13
Enhanced spatio-temporal electric load forecasts using less data with active deep learning	13
Tackling the perils of dual use in AI	13
Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity	13