QLEDs — light-emitting diodes that rely on nanocrystals called quantum dots — are usually made with toxic heavy metals. A strategy has been developed to make QLEDs with a performance comparable to that of commercially available technologies but using a more environmentally friendly alloy of zinc, selenium, telluriu

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Nature
nature.com > articles > s41591-026-04631-z

Initial lessons from real-world implementation of an AI-agent eye clinic in China - Nature Medicine

2+ day, 13+ hour ago   (295+ words) Nature Medicine (2026) Cite this article The transition from AI-assisted tools to more integrated, AI-native models of care requires workflow integration, clinician engagement and measurable clinical value. Rajpurkar, P., Chen, E., Banerjee, O. & Topol, E. J. Nat. Med. 28, 31–38 (2022). He, J. et al. Nat. Med. 25, 30–36 (2019). Widner, K....

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nature.com > articles > s43588-026-01055-0

Deep learning models enable high-performance, real-time emotion decoding from intracranial brain activity | Nature Computational Science

2+ day, 15+ hour ago   (191+ words) Nature Computational Science (2026) Cite this article Sani, O. G. et al. Mood variations decoded from multi-site intracranial human brain activity. Nat. Biotechnol. 36, 954–961 (2018). This paper provided early evidence that mood-state variations can be decoded from distributed intracranial recordings in humans. Merk, T. et…...

Nature
nature.com > articles > s41567-026-03473-3

Reproducibility by design - Nature Physics

3+ day, 3+ hour ago   (245+ words) Nature Physics volume 22, page 1363 (2026) Cite this article The sensitivity of moiré materials to crystal quality and twist angle can make experimental results difficult to replicate. Reproducibility should therefore be built into material growth, device fabrication and experimental design from the…...

@nature
nature.com > articles > d41586-026-02804-x

The Einstein test: what happens when AI tries to rediscover relativity?

3+ day, 15+ hour ago   (819+ words) Scientists are probing whether language models trained on historical data can reproduce creative breakthroughs....

Nature
nature.com > collections > chcdhdejje > collection-policies

Collection policies | Next-Generation AI in Drug Design for Precision Oncology

6+ day, 3+ hour ago   (147+ words) This Collection supports and amplifies research related to SDG 3: Good Health & Wellbeing. Topics of interest include, but are not limited to: We particularly encourage studies that combine computational approaches with experimental validation, as well as work that bridges drug discovery,…...

Nature
nature.com > articles > s41551-026-01766-9

Generalizable multiple-instance learning for computational pathology - Nature Biomedical Engineering

2+ week, 3+ day ago   (184+ words) Nature Biomedical Engineering (2026) Cite this article Ilse, M., Tomczak, J. M. & Welling, M. Attention-based deep multiple instance learning. In Proc. 35th International Conference on Machine Learning (eds Dy, J. & Krause, A.) 2127–2136 (ML Research Press, 2018). This paper introduces attention-based MIL, the foundational aggregation method that nnMIL builds upon…...

@nature
nature.com > articles > d41586-026-02631-0

The future of peer review requires AI support, not AI bans

2+ week, 4+ day ago   (4+ words) Letter to the Editor...

Nature
nature.com > articles > s42256-026-01290-0

Harnessing implicit neural representations for scientific data compression - Nature Machine Intelligence

2+ week, 5+ day ago   (149+ words) Nature Machine Intelligence (2026) Cite this article Essakine, A. et al. Trans. Mach. Learn. Res. 2024, 2835–8856 (2024). Rahaman, N. et al. In Proc. International Conference on Machine Learning 5301–5310 (PMLR, 2019). Tancik, M. et al. Adv. Neural Inf. Process. Syst. 33, 7537–7547 (2020). Sitzmann, V. et al. Adv. Neural…...

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nature.com > articles > s41392-026-02944-6

Accelerating protein engineering: an integrated framework combines protein language models and epistatic landscape modeling | Signal Transduction and Targeted Therapy

3+ week, 1+ day ago   (190+ words) Tran, V. Q. et al. Rapid directed evolution guided by protein language models and epistatic interactions. Science 392, eaea1820 (2026). Romero, P. A. & Arnold, F. H. Exploring protein fitness landscapes by directed evolution. Nat. Rev. Mol. Cell Biol. 10, 866–876 (2009). Yang, K. K., Wu, Z. & Arnold, F. H. Machine-learning-guided directed evolution…...

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nature.com > articles > d41586-026-02551-z

Staggering 90% of biomedical papers now show signs of AI help

3+ week, 2+ day ago   (80+ words) The figure, which is much higher than previous estimates of Large Language Model use, is for papers published in December and archived in PubMed...