Nature Machine Intelligence

Article	Citations
Visual cognition in multimodal large language models	413
AI on the beach	373
A unified deep framework for peptide–major histocompatibility complex–T cell receptor binding prediction	319
On board with COMET to improve omics prediction models	310
Physical benchmarks for testing algorithms	292
Investigating machine moral judgement through the Delphi experiment	279
Calibrated geometric deep learning improves kinase–drug binding predictions	259
Asymmetric predictive relationships across histone modifications	258
Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness	257
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI	255
Machine learning for practical quantum error mitigation	222
Incorporating physics into data-driven computer vision	192
A multi-modal deep language model for contaminant removal from metagenome-assembled genomes	179
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	170
Large language models that replace human participants can harmfully misportray and flatten identity groups	169
Explainable AI reveals Clever Hans effects in unsupervised learning models	168
Safe driving cars	164
A challenge for the law and artificial intelligence	162
A year of racing ahead with AI and not breaking things	159
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit	159
A cautionary tale about the adoption of medical AI in Sweden	148
Meta-learning for T cell receptor binding specificity and beyond	147
Connecting molecular properties with plain language	143
Publisher Correction: Dimensionality reduction to maximize prediction generalization capability	141
Learning equilibria in symmetric auction games using artificial neural networks	140

Improving customer decisions in web-based e-commerce through guerrilla modding	140
Mitigating allocative tradeoffs and harms in an environmental justice data tool	139
A new regulatory framework for algorithm-powered recommendation services in China	139
AI model transferability in healthcare: a sociotechnical perspective	135
Author Correction: Automatic strain sensor design via active learning and data augmentation for soft machines	133
A generalizable deep learning framework for inferring fine-scale germline mutation rate maps	130
Listening in to perceived speech with contrastive learning	130
Adversarial competition and collusion in algorithmic markets	129
The democratization of global AI governance and the role of tech companies	128
Artificial intelligence tackles the nature–nurture debate	126
Data-driven discovery of movement-linked heterogeneity in neurodegenerative diseases	123
Reusability report: Uncovering associations in biomedical bipartite networks via a bilinear attention network with domain adaptation	121
High-resolution real-space reconstruction of cryo-EM structures using a neural field network	121
Deep learning models for predicting RNA degradation via dual crowdsourcing	118
AtomAI framework for deep learning analysis of image and spectroscopy data in electron and scanning probe microscopy	115
Deep learning for predicting rate-induced tipping	115
Reply to: Limitations in odour recognition and generalization in a neuromorphic olfactory circuit	113
Many-body control with reinforcement learning and tensor networks	109
Playing with symmetry with neural networks	107
When and how convolutional neural networks generalize to out-of-distribution category–viewpoint combinations	106
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence	103
Publisher Correction: Back to the future with machine learning	100
Interpretable meta-score for model performance	100
Resource-efficient inference for particle physics	97
Deep reinforcement learning-designed radiofrequency waveform in MRI	96
Wiring up recurrent neural networks	91
Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions	91
Epistemic fragmentation poses a threat to the governance of online targeting	91
A teachable moment for dual-use	86
Author Correction: A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions	85
Pre-training with fractional denoising to enhance molecular property prediction	83
Author Correction: Integrated structure prediction of protein–protein docking with experimental restraints using ColabDock	82
Supervised learning of high-confidence phenotypic subpopulations from single-cell data	82
Scalable and robust DNA-based storage via coding theory and deep learning	81
Cognitive maps from predictive vision	80
A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research	79
Ethical hazards of health data governance in the metaverse	78
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models	78
Towards highly sensitive deep learning-based end-to-end database search for tandem mass spectrometry	78
Pick your AI poison	77
New deepfake regulations in China are a tool for social stability, but at what cost?	77
Improving Wikipedia verifiability with AI	74
AI reflections in 2021	74
Invalid SMILES are beneficial rather than detrimental to chemical language models	73
Wing-strain-based flight control of flapping-wing drones through reinforcement learning	72
Encoding of tactile information in hand via skin-integrated wireless haptic interface	71
Developing robust benchmarks for driving forward AI innovation in healthcare	70
Prediction of robust scientific facts from literature	70
Deep recurrent optical flow learning for particle image velocimetry data	69
Echo state graph neural networks with analogue random resistive memory arrays	68

A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design	68
Quantum circuit synthesis with diffusion models	67
Evaluating protein binding interfaces with transformer networks	66
Transferring policy of deep reinforcement learning from simulation to reality for robotics	64
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning	64
Super-resolution generative adversarial networks of randomly-seeded fields	63
Accelerated rational PROTAC design via deep learning and molecular simulations	62
Multiscale simulations of complex systems by learning their effective dynamics	62
Intelligent problem-solving as integrated hierarchical reinforcement learning	62
A critical problem in benchmarking and analysis of evolutionary computation methods	61
Machine learning-enabled globally guaranteed evolutionary computation	61
Machine learning and computation-enabled intelligent sensor design	57
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology	57
A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills	57
Development of metaverse for intelligent healthcare	56
DNA language model GROVER learns sequence context in the human genome	55
Fast, scale-adaptive and uncertainty-aware downscaling of Earth system model fields with generative machine learning	54
Materiality and risk in the age of pervasive AI sensors	53
Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model	53
Radiological tumour classification across imaging modality and histology	53
Deep transfer operator learning for partial differential equations under conditional shift	53
Large language models challenge the future of higher education	53
Variational neural annealing	52
The pitfalls of negative data bias for the T-cell epitope specificity challenge	52
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors	51
Interpreting neural networks for biological sequences by learning stochastic masks	51
Engineering flexible machine learning systems by traversing functionally invariant paths	51
Molecular contrastive learning of representations via graph neural networks	50
Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support	50
Human autonomy in the age of artificial intelligence	50
A computational framework for neural network-based variational Monte Carlo with Forward Laplacian	50
Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion	50
The incentive gap in data work in the era of large models	50
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves	49
Augmenting large language models with chemistry tools	49
Three types of incremental learning	49
Generalizability of an acute kidney injury prediction model across health systems	48
Biological research and self-driving labs in deep space supported by artificial intelligence	48
Decoding speech perception from non-invasive brain recordings	48
Discussions of machine versus living intelligence need more clarity	48
Knowledge graph-enhanced molecular contrastive learning with functional prompt	47
Distributed constrained combinatorial optimization leveraging hypergraph neural networks	46
Environmental robotics for a sustainable future in circular economies	46
Sparsity provides a competitive advantage	45
Learning interpretable representations of entanglement in quantum optics experiments using deep generative models	45
Lessons from the first DBTex Challenge	45
Dimensionality reduction to maximize prediction generalization capability	45
Reusability report: Comparing gradient descent and Monte Carlo tree search optimization of quantum annealing schedules	44
Lessons from infant learning for unsupervised machine learning	44
Variational autoencoder for design of synthetic viral vector serotypes	44
Automated construction of cognitive maps with visual predictive coding	44
Research community dynamics behind popular AI benchmarks	44
A textile exomuscle that assists the shoulder during functional movements for everyday life	43
Advancing ethics review practices in AI research	43
The curious case of the test set AUROC	43
Discovering neural policies to drive behaviour by integrating deep reinforcement learning agents with biological neural networks	43
Reusability report: Learning the language of synthetic methods used in medicinal chemistry	42
A Global South perspective for ethical algorithms and the State	42
Judging the creative prowess of AI	41
Publisher Correction: Advancing ethics review practices in AI research	41
Recurrent graph optimal transport for learning 3D flow motion in particle tracking	41
Rethinking machine unlearning for large language models	40
Deconstructing the generalization gap	40
A multiscale approach for biomedical machine learning	40
What large language models know and what people think they know	40
AI pioneers win 2024 Nobel prizes	39
AI podcasts for the summer	39
Hierarchical deep reinforcement learning reveals a modular mechanism of cell movement	38
Robotic body augmentation	38
Towards quantum enhanced adversarial robustness in machine learning	38
Defining a role for AI ethics in national security	37
Federated learning is not a cure-all for data ethics	37
Don’t pause giant AI for the wrong reasons	36
Factuality challenges in the era of large language models and opportunities for fact-checking	36
Zero-shot transfer of protein sequence likelihood models to thermostability prediction	36
Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model	36
Direct conformational sampling from peptide energy landscapes through hypernetwork-conditioned diffusion	36
AI in biomaterials discovery: generating self-assembling peptides with resource-efficient deep learning	35
Epitope-anchored contrastive transfer learning for paired CD8+ T cell receptor–antigen recognition	35
Contextual feature extraction hierarchies converge in large language models and the brain	35

Does it matter if empathic AI has no empathy?	35
Fast and generalizable micromagnetic simulation with deep neural nets	35
Detecting multiple retinal diseases in ultra-widefield fundus imaging and data-driven identification of informative regions with deep learning	34
Realistic morphology-preserving generative modelling of the brain	34
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems	34
Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition	34
A touch of virtual reality	33
Automated causal inference in application to randomized controlled clinical trials	33
Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy	33
Space missions out of this world with AI	33
Enhancing hyperspectral imaging	33
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging	33
A question of trust for AI research in medicine	33
Deep neural networks with controlled variable selection for the identification of putative causal genetic variants	33
Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN	33
Is it five already?	32
Neurons learn by predicting future activity	32
Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition	32
Quantum circuit optimization with AlphaTensor	31
Federated benchmarking of medical artificial intelligence with MedPerf	31
Teaching robots to build simulations of themselves	31
Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations	31
Improved protein structure prediction by deep learning irrespective of co-evolution information	31