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Applying causal machine learning to assess and improve cleantech policy design - Nature Energy
2+ hour, 25+ min ago (343+ words) Nature Energy (2026) Cite this article Effective clean technology (cleantech) policies, such as subsidies and carbon pricing, require an understanding of how interventions shape environmental and socioeconomic outcomes. To support targeted, evidence-based policy design, we discuss how causal machine learning can…...
AI-enabled robotics and intelligent manufacturing systems for industry 5.0
6+ day, 2+ hour ago (63+ words) This Collection supports and amplifies research related to SDG9 - Industry, Innovation & Infrastructure. This Scientific Reports Collection welcomes original research on AI-enabled robotics and intelligent manufacturing systems for industry 5.0. Narrative review articles are also welcomed, to our sister journal Scientific Reviews. For…...
Access to all stereoisomers of chiral alcohols with multiple stereocentres enabled by machine learning-empowered protein engineering | Nature Synthesis
2+ week, 3+ day ago (1503+ words) Nature Synthesis (2026) Cite this article Gaucherand, A. et al. Enantioselective synthesis of molecules with multiple stereogenic elements. Chem. Soc. Rev. 53, 11165–11206 (2024). Krautwald, S. & Carreira, E. M. Stereodivergence in asymmetric catalysis. J. Am. Chem. Soc. 139, 5627–5639 (2017). Le Bel, J. A. Sur les relations qui…...
Responsible use of artificial intelligence and machine learning for food security early warning systems - Nature Food
1+ mon, 1+ day ago (315+ words) Nature Food (2026) Cite this article Martini, G. et al. Nat. Food 3, 716–728 (2022). Balashankar, A., Subramanian, L. & Fraiberger, S. P. Sci. Adv. 9, eabm3449 (2023). Herteux, J. et al. Commun. Earth Environ. 5, 611 (2024). Lentz, E. C., Michelson, H., Baylis, K. & Zhou, Y. World Dev. 122, 399–409 (2019). Machefer, M. et…...
Trajectory forecasting lifts the femtosecond ceiling in molecular simulation - Nature Machine Intelligence
1+ mon, 3+ day ago (148+ words) Nature Machine Intelligence (2026) Cite this article A new deep learning method enables molecular dynamics simulations over longer time scales while still achieving accurate physical property prediction. Allen, M. P. & Tildesley, D. J. Computer Simulation of Liquids 2nd edn (Oxford Univ. Press, 2017). Thiemann, F. L. et al. Nat....
Reinforcement learning steers generative crystal design - Nature Machine Intelligence
1+ mon, 5+ day ago (147+ words) AI in material discovery Nature Machine Intelligence (2026) Cite this article Generative machine learning methods have led to progress in crystal discovery, but cannot fully explore the space of material candidates that are both novel and useful. A reinforcement learning-based method…...
AI design of gut microbiomes - Nature Chemical Biology
1+ mon, 1+ week ago (167+ words) Nature Chemical Biology (2026) Cite this article The gut microbiome converts dietary fiber into metabolites that shape human health, but identifying the right combinations of microorganisms and nutrients has been a challenge. A machine learning framework can now find optimal microbial…...
Regression to the mean inflates accuracy in machine learning prediction of symptom change - Nature Mental Health
1+ mon, 2+ week ago (277+ words) Nature Mental Health (2026) Cite this article Predicting symptom change is a key goal of machine learning in mental health. However, models can seem more accurate than they are due to regression to the mean, a common statistical effect often overlooked…...
Deep Reinforcement Learning-based combat recognition of traditional Chinese Sanda under artificial intelligence technology | Scientific Reports
1+ mon, 3+ week ago (33+ words) Scientific Reports (2026) Cite this article The authors acknowledge the help from the university colleagues. Correspondence to Haohua Li. Training pipeline of the proposed model. Received: 26 April 2026 Accepted: 13 July 2026...
A unifying framework from neural superposition to sparse interpretable codes - Nature Machine Intelligence
1+ mon, 3+ week ago (1653+ words) Nature Machine Intelligence (2026) Cite this article von Helmholtz, H. in The Selected Writings of Hermann von Helmholtz (ed. Karl, R.) (Wesleyan Univ. Press, 1971). McCulloch, W. S. & Pitts, W. A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 5, 115–133 (1943). Kleene, S. in Automata…...