Nature Machine Intelligence, Published online: 06 July 2026; doi:10.1038/s42256-026-01262-4
Park and Walsh introduce a reinforcement learning framework that could accelerate the discovery of new, thermodynamically stable and diverse crystalline materials with desired properties.Nature Machine Intelligence, Published online: 03 July 2026; doi:10.1038/s42256-026-01267-z
Berner et al. show how to adapt popular neural networks into discretization-agnostic neural operators that learn from continuous scientific data, enabling scientific simulations that generalize more reliably across resolutions.Nature Machine Intelligence, Published online: 02 July 2026; doi:10.1038/s42256-026-01266-0
Wang et al. develop DeepEvidence, a biomedical deep research agent for exploring and synthesizing evidence across various knowledge sources to support drug discovery, clinical trials and evidence-based medicine.Nature Machine Intelligence, Published online: 02 July 2026; doi:10.1038/s42256-026-01264-2
Liu and colleagues introduce HelixFold-S1, a guided sampling strategy for biomolecular complex structure prediction that targets high-probability interaction regions. The method achieves higher accuracy than traditional unguided methods while reducing computational costs.Nature Machine Intelligence, Published online: 01 July 2026; doi:10.1038/s42256-026-01261-5
Chen et al. demonstrate an AI X-ray scientist that autonomously aligns single crystals at a real synchrotron beamline, showing how large language models can enable adaptive closed-loop experimentation at large-scale scientific facilities.Nature Machine Intelligence, Published online: 25 June 2026; doi:10.1038/s42256-026-01258-0
Rising pathogen drug resistance makes next-generation antimicrobial peptides a global priority. Generative AI accelerates discovery by rapidly proposing new peptides with high therapeutic potential. The key question is no longer whether broad data-driven exploration is possible, but whether it can refine biologically complex activity scaffolds.Nature Machine Intelligence, Published online: 23 June 2026; doi:10.1038/s42256-026-01269-x
Recent breakthroughs in mathematical research show that AI is transforming the field at a remarkable pace. In an open letter published this month, an international group of mathematicians argue that the field needs to remain a human endeavour.Nature Machine Intelligence, Published online: 23 June 2026; doi:10.1038/s42256-026-01263-3
Nassour, Berberich and colleagues present a soft robotic hand exoskeleton that restores grasping ability in individuals with severe hand paralysis, enabling meaningful tasks such as feeding. A lightweight textile glove with wrist dorsiflexion and an active opposable thumb increases hand articulations to enable more dexterous grasping.Nature Machine Intelligence, Published online: 22 June 2026; doi:10.1038/s42256-026-01252-6
An, Luo, Zhang and colleagues present Turbo, a transformer-based reinforcement learning framework that enables simulation-to-real transfer for autonomous navigation and obstacle avoidance in physical microrobotic swarms operating in unknown environments.
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