Reusability report: Unpaired deep-learning approaches for holographic image reconstruction von Zhang, Yuhe, Ritschel, Tobias, Villanueva-Perez, Pablo

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Adaptable navigation of magnetic microrobots von Allard, Charlotte

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Anniversary AI reflections von Ferruz, Noelia, Zitnik, Marinka, Oudeyer, Pierre-Yves, Hine, Emmie, Sengupta, Nandana, Shi, Yiyu, Mincu, Diana, Mann, Sebastian Porsdam, Das, Payel, Stella, Francesco

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Multimode fiber-based greyscale image projector enabled by neural networks with high generalization ability von Wang, Jian, Zhong, Guangchao, Wu, Daixuan, Huang, Sitong, Luo, Zhi-Chao, Shen, Yuecheng

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Reusability report: Learning the transcriptional grammar in single-cell RNA-sequencing data using transformers von Khan, Sumeer Ahmad, Maillo, Alberto, Lagani, Vincenzo, Lehmann, Robert, Kiani, Narsis A., Gomez-Cabrero, David, Tegner, Jesper

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Is it five already?

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AI in drug discovery: A wake-up call von Urbina, Fabio, Lentzos, Filippa, Invernizzi, Cédric, Ekins, Sean

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AI reflections in 2021 von Buckner, Cameron, Miikkulainen, Risto, Forrest, Stephanie, Milano, Silvia, Zou, James, Prunk, Carina, Irrgang, Christopher, Cohen, I. Glenn, Su, Hao, Murphy, Robin R., Taylor, Russell H., Krieger, Axel, Kovač, Mirko, Sadowski, Jathan, Marda, Vidushi

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Promoting reproducibility with Code Ocean von Cheifet, Barbara

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Let’s go 2020

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AI reflections in 2020 von Jobin, Anna, Man, Kingson, Damasio, Antonio, Kaissis, Georgios, Braren, Rickmer, Stoyanovich, Julia, Van Bavel, Jay J., West, Tessa V., Mittelstadt, Brent, Eshraghian, Jason, Costa-jussà, Marta R., Tzachor, Asaf, Jamjoom, Aimun A. B., Taddeo, Mariarosaria, Sinibaldi, Edoardo, Hu, Yipeng, Luengo-Oroz, Miguel

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Learning the flow von Budrikis, Zoe

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Paper lets scientists play with each other's results von Perkel, Jeffrey M

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When All Research Is Dual Use von Evans, Sam Weiss

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More than machines

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Boycott highlights AI's publishing rebellion von Hutson, Matthew

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Reusability report : Unpaired deep-learning approaches for holographic image von Zhang, Yuhe, Ritschel, Tobias, Villanueva Perez, Pablo

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Interpreting Linear Beta Coefficients Alongside Feature Importances in Machine Learning von Chen, James Ming

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Parameter-efficient fine-tuning of large-scale pre-trained language models von Ding, Ning, Qin, Yujia, Yang, Guang, Wei, Fuchao, Yang, Zonghan, Su, Yusheng, Hu, Shengding, Chen, Yulin, Chan, Chi-Min, Chen, Weize, Yi, Jing, Zhao, Weilin, Wang, Xiaozhi, Liu, Zhiyuan, Zheng, Hai-Tao, Chen, Jianfei, Liu, Yang, Tang, Jie, Li, Juanzi, Sun, Maosong

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Predicting drug–protein interaction using quasi-visual question answering system von Zheng, Shuangjia, Li, Yongjian, Chen, Sheng, Xu, Jun, Yang, Yuedong

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