Journal & Article

Artificial Intelligence

I/F
# Journal I/F

Nature Machine Intelligence

Agentic AI and cybersecurity, the story so far Towards principled knowledge editing methods for large language model reasoning Towards general auditory intelligence for machine listening and speaking Machine learning of artistic fingerprints in jazz Transfer learning with deployment-covariate recalibration for survival prediction under covariate shift Thinking and rethinking data AI readiness Neural sampling from cognitive maps enables goal-directed imagination and planning Capable language models can outgrow the benefits of collaboration Solutions, challenges and rising tensions in AI and mathematics Autonomous navigation of intelligent microrobotic swarms in unknown environments Neural operators for free-boundary problems Deep neural operator for free boundary problems From embodied intelligence to physical AI Fluid thinking about collective intelligence Programmable RNA translation through deep learning-driven IRES discovery and de novo generation A multimodal large language model for materials science Recognizing reproducibility and reusability in times of fast science. Interpretability and implicit model semantics in biomedicine and deep learning. Computational framework to predict and shape human–machine interactions in closed-loop, co-adaptive neural interfaces. Machine learning global atomic representations with Euclidean fast attention. Reverse predictivity for bidirectional comparison of neural networks and biological brains. AI and the long game Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals Synthetic X‑ray‑driven tracking and control of miniature medical devices Benchmarking large language models on safety risks in scientific laboratories Jointly modeling cardiovascular biomarkers Addendum: Resolving data bias improves generalization in binding affinity prediction Multi-agent AI systems need transparency Modelling drug-induced cellular perturbation responses with a biologically informed dual-branch transformer Proposing and solving olympiad geometry with guided tree search Teaching machines to blend electrolyte cocktails A unified predictive and generative solution for liquid electrolyte formulation On the troubling rise of generative AI suspicion in academic publishing Identifying spatial single-cell-level interactions with graph transformer Authorization of prognostic AI medical devices Attributing and situating knowledge cannot be left to language models Visual language models show widespread visual deficits on neuropsychological tests A flaw in using pretrained protein language models in protein–protein interaction inference models Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products When large language models are reliable for judging empathic communication What matters in building vision–language–action models for generalist robots A federated graph learning method to realize multi-party collaboration for molecular discovery Parallel hierarchical encoding of linguistic representations in the human auditory cortex and recurrent automatic speech recognition systems Preconditioned inexact stochastic ADMM for deep models Meta-designing quantum experiments with language models Author Correction: Mask-prior-guided denoising diffusion improves inverse protein folding A large-scale randomized study of large language model feedback in peer review A family of large language models for materials research with insights into model adaptability in continued pretraining A universal spin–orbit-coupled Hamiltonian model for accelerated quantum material discovery Conditional diffusion with locality-aware modal alignment for generating diverse protein conformational ensembles