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Nature Machine Intelligence, Volume 5
Volume 5, Number 1, January 2023
- The AI writing on the wall. 1
- Alissa Brauneck
, Louisa Schmalhorst, Mohammad Mahdi Kazemi Majdabadi, Mohammad Bakhtiari, Uwe Völker, Christina Caroline Saak
, Jan Baumbach
, Linda Baumbach, Gabriele Buchholtz:
Federated machine learning in data-protection-compliant research. 2-4 - Emilia Niemiec
:
A cautionary tale about the adoption of medical AI in Sweden. 5-7 - Philippe A. Robert
, Victor Greiff
:
Bridging the neutralization gap for unseen antibodies. 8-10 - Jesper N. Tegnér
:
Translating single-cell genomics into cell types. 11-12 - Robin Mitra
, Sarah F. McGough
, Tapabrata Chakraborti, Chris C. Holmes, Ryan Copping
, Niels Hagenbuch, Stefanie Biedermann
, Jack Noonan, Brieuc Lehmann
, Aditi Shenvi
, Xuan Vinh Doan
, David Leslie, Ginestra Bianconi, Rubén J. Sánchez-García
, Alisha Davies
, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron
, Ben D. MacArthur
:
Learning from data with structured missingness. 13-23 - Stefan Boettcher
:
Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems. 24-25 - Martin J. A. Schuetz
, J. Kyle Brubaker
, Helmut G. Katzgraber
:
Reply to: Inability of a graph neural network heuristic to outperform greedy algorithms in solving combinatorial optimization problems. 26-28 - Maria Chiara Angelini
, Federico Ricci-Tersenghi:
Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. 29-31 - Martin J. A. Schuetz
, J. Kyle Brubaker
, Helmut G. Katzgraber
:
Reply to: Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set. 32-34 - Chanseok Lee
, Gookho Song
, Hyeonggeon Kim, Jong Chul Ye
, Mooseok Jang
:
Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data. 35-45 - Ashish Sharma, Inna W. Lin, Adam S. Miner
, David C. Atkins, Tim Althoff
:
Human-AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support. 46-57 - Satpreet H. Singh
, Floris van Breugel, Rajesh P. N. Rao, Bingni W. Brunton:
Emergent behaviour and neural dynamics in artificial agents tracking odour plumes. 58-70 - Jesús Pineda
, Benjamin Midtvedt, Harshith Bachimanchi
, Sergio Noé
, Daniel Midtvedt, Giovanni Volpe
, Carlo Manzo
:
Geometric deep learning reveals the spatiotemporal features of microscopic motion. 71-82 - Cheng Xue
, Vimukthini Pinto
, Chathura Nagoda Gamage
, Ekaterina Nikonova, Peng Zhang, Jochen Renz
:
Phy-Q as a measure for physical reasoning intelligence. 83-93 - Madhulika Srikumar
, Rebecca Finlay, Grace Abuhamad, Carolyn Ashurst, Rosie Campbell, Emily Campbell-Ratcliffe, Hudson Hongo, Sara R. Jordan, Joseph Lindley
, Aviv Ovadya
, Joelle Pineau
:
Publisher Correction: Advancing ethics review practices in AI research. 94
Volume 5, Number 2, February 2023
- Algorithmic recommendations, anyone? 95
- Alessandro Hammond
, Bhav Jain
, Leo Anthony Celi
, Fatima Cody Stanford
:
An extension to the FDA approval process is needed to achieve AI equity. 96-97 - Annamaria Carusi
, Peter D. Winter
, Iain Armstrong, Fabio Ciravegna, David G. Kiely, Allan Lawrie
, Haiping Lu
, Ian Sabroe, Andy Swift:
Medical artificial intelligence is as much social as it is technological. 98-100 - David A. Hendrix
:
Crowdsourcing to predict RNA degradation and secondary structure. 101-103 - Shaocong Wang
, Yi Li, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang
, Peng Lin
, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang-Ting Cheng, Zhongrui Wang
, Dashan Shang
, Ming Liu:
Echo state graph neural networks with analogue random resistive memory arrays. 104-113 - Xiao Luo, Xiongbin Kang, Alexander Schönhuth
:
Predicting the prevalence of complex genetic diseases from individual genotype profiles using capsule networks. 114-125 - Peizhen Bai
, Filip Miljkovic
, Bino John, Haiping Lu
:
Interpretable bilinear attention network with domain adaptation improves drug-target prediction. 126-136 - Maximilian Geisslinger
, Franziska Poszler
, Markus Lienkamp:
An ethical trajectory planning algorithm for autonomous vehicles. 137-144 - Zhong Cao
, Kun Jiang, Weitao Zhou
, Shaobing Xu, Huei Peng, Diange Yang
:
Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning. 145-158 - Athanasios Vlontzos
, Bernhard Kainz
, Ciarán M. Gilligan-Lee
:
Estimating categorical counterfactuals via deep twin networks. 159-168 - Qisheng Yang
, Weiqiu Jin, Qihang Zhang, Yuhong Wei, Zhanfeng Guo, Xiaoshi Li
, Yi Yang
, Qingquan Luo
, He Tian
, Tianling Ren
:
Mixed-modality speech recognition and interaction using a wearable artificial throat. 169-180 - Jacopo Tagliabue
, Federico Bianchi
, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia:
A challenge for rounded evaluation of recommender systems. 181-182
Volume 5, Number 3, March 2023
- Space missions out of this world with AI. 183
- Nandana Sengupta
, Vidya Subramanian, Anwesh Mukhopadhyay, Arul George Scaria:
A Global South perspective for ethical algorithms and the State. 184-186 - Mona Sloane
, Ian Solano-Kamaiko, Jun Yuan, Aritra Dasgupta, Julia Stoyanovich
:
Introducing contextual transparency for automated decision systems. 187-195 - Ryan T. Scott
, Lauren M. Sanders
, Erik L. Antonsen
, Jaden J. A. Hastings
, Seung-Min Park
, Graham Mackintosh, Robert J. Reynolds
, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene
, Benjamin S. Glicksberg
, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker
, Sergio E. Baranzini
, Afshin Beheshti, Stuart J. Chalk
, Guillermo M. Delgado-Aparicio, Melissa A. Haendel, Arif A. Hamid
, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli
, Svetlana V. Komarova
, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor
, Héctor García Martín
, Christopher E. Mason
, Mona Matar
, George I. Mias
, Jerry G. Myers Jr.
, Charlotte A. Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu
, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria
, Nitin Kumar Singh, Michael Snyder
, Frank Soboczenski, Karthik Soman, David Van Valen
, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang
, Marinka Zitnik
, Sylvain V. Costes
:
Biomonitoring and precision health in deep space supported by artificial intelligence. 196-207 - Lauren M. Sanders
, Ryan T. Scott
, Jason H. Yang
, Amina Ann Qutub, Héctor García Martín
, Daniel C. Berrios, Jaden J. A. Hastings
, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart J. Chalk
, John Kalantari, Kia Khezeli
, Erik L. Antonsen
, Joel Babdor, Richard Barker
, Sergio E. Baranzini
, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg
, Casey S. Greene
, Melissa A. Haendel, Arif A. Hamid
, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova
, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor
, Christopher E. Mason
, Mona Matar
, George I. Mias
, Jack Miller, Jerry G. Myers Jr.
, Charlotte A. Nelson, Jonathan Oribello, Seung-Min Park
, Patricia Parsons-Wingerter, R. K. Prabhu
, Robert J. Reynolds
, Amanda Saravia-Butler, Suchi Saria
, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder
, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen
, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik
, Sylvain V. Costes
:
Biological research and self-driving labs in deep space supported by artificial intelligence. 208-219 - Ning Ding
, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu
, Hai-Tao Zheng
, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
:
Parameter-efficient fine-tuning of large-scale pre-trained language models. 220-235 - Yicheng Gao, Yuli Gao, Yuxiao Fan, Chengyu Zhu, Zhiting Wei, Chi Zhou, Guohui Chuai, Qinchang Chen, He Zhang, Qi Liu
:
Pan-Peptide Meta Learning for T-cell receptor-antigen binding recognition. 236-249 - Hugues Turbé
, Mina Bjelogrlic
, Christian Lovis
, Gianmarco Mengaldo
:
Evaluation of post-hoc interpretability methods in time-series classification. 250-260 - Delin Hu, Francesco Giorgio Serchi, Shiming Zhang, Yunjie Yang
:
Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots. 261-272 - Tim Rädsch
, Annika Reinke
, Vivienn Weru, Minu Dietlinde Tizabi, Nicholas Schreck, A. Emre Kavur
, Bünyamin Pekdemir, Tobias Roß, Annette Kopp-Schneider
, Lena Maier-Hein
:
Labelling instructions matter in biomedical image analysis. 273-283 - Tong Wang
, Xu-Wen Wang
, Kathleen A. Lee-Sarwar, Augusto A. Litonjua, Scott T. Weiss, Yizhou Sun
, Sergei Maslov
, Yang-Yu Liu
:
Predicting metabolomic profiles from microbial composition through neural ordinary differential equations. 284-293 - Cong Gao
, Benjamin D. Killeen
, Yicheng Hu, Robert B. Grupp
, Russell H. Taylor
, Mehran Armand, Mathias Unberath
:
Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis. 294-308 - Yeonghun Kang
, Hyunsoo Park
, Berend Smit
, Jihan Kim
:
A multi-modal pre-training transformer for universal transfer learning in metal-organic frameworks. 309-318 - Felix Friedrich
, Wolfgang Stammer
, Patrick Schramowski
, Kristian Kersting
:
A typology for exploring the mitigation of shortcut behaviour. 319-330
Volume 5, Number 4, April 2023
- What's the next word in large language models? 331-332
- Silvia Milano
, Joshua A. McGrane
, Sabina Leonelli
:
Large language models challenge the future of higher education. 333-334 - Thomas G. Day
, John M. Simpson, Reza Razavi, Bernhard Kainz
:
Improving image labelling quality. 335-336 - Duolin Wang, Fei He, Yang Yu, Dong Xu
:
Meta-learning for T cell receptor binding specificity and beyond. 337-339 - Yasha Ektefaie, George Dasoulas, Ayush Noori, Maha Farhat, Marinka Zitnik
:
Multimodal learning with graphs. 340-350 - Sandra Steyaert
, Marija Pizurica, Divya Nagaraj, Priya Khandelwal, Tina Hernandez-Boussard
, Andrew J. Gentles, Olivier Gevaert
:
Multimodal data fusion for cancer biomarker discovery with deep learning. 351-362 - Michael Hersche
, Mustafa Zeqiri, Luca Benini, Abu Sebastian
, Abbas Rahimi
:
A neuro-vector-symbolic architecture for solving Raven's progressive matrices. 363-375 - Ying Tang
, Jiayu Weng
, Pan Zhang
:
Neural-network solutions to stochastic reaction networks. 376-385 - Maranga Mokaya
, Fergus Imrie, Willem P. van Hoorn
, Aleksandra Kalisz
, Anthony R. Bradley, Charlotte M. Deane
:
Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning. 386-394 - Xingang Peng
, Yipin Lei, Peiyuan Feng, Lemei Jia, Jianzhu Ma, Dan Zhao
, Jianyang Zeng
:
Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning. 395-407 - Junhao Liang
, Weisheng Zhang, Jianghui Yang, Meilong Wu, Qionghai Dai
, Hongfang Yin
, Ying Xiao
, Lingjie Kong
:
Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer. 408-420 - Ruoqi Liu
, Katherine M. Hunold, Jeffrey M. Caterino, Ping Zhang
:
Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis. 421-431 - Jannis Born
, Matteo Manica
:
Regression Transformer enables concurrent sequence regression and generation for molecular language modelling. 432-444 - Xiaoqi Wang
, Yingjie Cheng
, Yaning Yang, Yue Yu
, Fei Li
, Shaoliang Peng
:
Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery. 445-456 - Bin Li
, Ziping Wei, Jingjing Wu, Shuai Yu
, Tian Zhang, Chunli Zhu, Dezhi Zheng, Weisi Guo, Chenglin Zhao, Jun Zhang
:
Machine learning-enabled globally guaranteed evolutionary computation. 457-467

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