Search Results - "Nature machine intelligence"

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators by Lu, Lu, Jin, Pengzhan, Pang, Guofei, Zhang, Zhongqiang, Karniadakis, George Em

“…It is widely known that neural networks (NNs) are universal approximators of continuous functions. However, a less known but powerful result is that a NN with…”
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From local explanations to global understanding with explainable AI for trees by Lundberg, Scott M., Erion, Gabriel, Chen, Hugh, DeGrave, Alex, Prutkin, Jordan M., Nair, Bala, Katz, Ronit, Himmelfarb, Jonathan, Bansal, Nisha, Lee, Su-In

“…Tree-based machine learning models such as random forests, decision trees and gradient boosted trees are popular nonlinear predictive models, yet comparatively…”
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Shortcut learning in deep neural networks by Geirhos, Robert, Jacobsen, Jörn-Henrik, Michaelis, Claudio, Zemel, Richard, Brendel, Wieland, Bethge, Matthias, Wichmann, Felix A.

“…Deep learning has triggered the current rise of artificial intelligence and is the workhorse of today’s machine intelligence. Numerous success stories have…”
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Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead by Rudin, Cynthia

“…Black box machine learning models are currently being used for high-stakes decision making throughout society, causing problems in healthcare, criminal justice…”
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Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans by Roberts, Michael, Driggs, Derek, Thorpe, Matthew, Gilbey, Julian, Yeung, Michael, Ursprung, Stephan, Aviles-Rivero, Angelica I., Etmann, Christian, McCague, Cathal, Beer, Lucian, Weir-McCall, Jonathan R., Teng, Zhongzhao, Gkrania-Klotsas, Effrossyni, Rudd, James H. F., Sala, Evis, Schönlieb, Carola-Bibiane

“…Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care…”
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The global landscape of AI ethics guidelines by Jobin, Anna, Ienca, Marcello, Vayena, Effy

“…In the past five years, private companies, research institutions and public sector organizations have issued principles and guidelines for ethical artificial…”
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Secure, privacy-preserving and federated machine learning in medical imaging by Kaissis, Georgios A., Makowski, Marcus R., Rückert, Daniel, Braren, Rickmer F.

“…The broad application of artificial intelligence techniques in medicine is currently hindered by limited dataset availability for algorithm training and…”
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An interpretable mortality prediction model for COVID-19 patients by Yan, Li, Zhang, Hai-Tao, Goncalves, Jorge, Xiao, Yang, Wang, Maolin, Guo, Yuqi, Sun, Chuan, Tang, Xiuchuan, Jing, Liang, Zhang, Mingyang, Huang, Xiang, Xiao, Ying, Cao, Haosen, Chen, Yanyan, Ren, Tongxin, Wang, Fang, Xiao, Yaru, Huang, Sufang, Tan, Xi, Huang, Niannian, Jiao, Bo, Cheng, Cheng, Zhang, Yong, Luo, Ailin, Mombaerts, Laurent, Jin, Junyang, Cao, Zhiguo, Li, Shusheng, Xu, Hui, Yuan, Ye

“…The sudden increase in COVID-19 cases is putting high pressure on healthcare services worldwide. At this stage, fast, accurate and early clinical assessment of…”
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Drug discovery with explainable artificial intelligence by Jiménez-Luna, José, Grisoni, Francesca, Schneider, Gisbert

“…Deep learning bears promise for drug discovery, including advanced image analysis, prediction of molecular structure and function, and automated generation of…”
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AI for radiographic COVID-19 detection selects shortcuts over signal by DeGrave, Alex J., Janizek, Joseph D., Lee, Su-In

“…Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that accurately detect COVID-19 in chest radiographs. However, the…”
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Molecular contrastive learning of representations via graph neural networks by Wang, Yuyang, Wang, Jianren, Cao, Zhonglin, Barati Farimani, Amir

“…Molecular machine learning bears promise for efficient molecular property prediction and drug discovery. However, labelled molecule data can be expensive and…”
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Parameter-efficient fine-tuning of large-scale pre-trained language models by 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

“…With the prevalence of pre-trained language models (PLMs) and the pre-training–fine-tuning paradigm, it has been continuously shown that larger models tend to…”
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Predicting the state of charge and health of batteries using data-driven machine learning by Ng, Man-Fai, Zhao, Jin, Yan, Qingyu, Conduit, Gareth J., Seh, Zhi Wei

“…Machine learning is a specific application of artificial intelligence that allows computers to learn and improve from data and experience via sets of…”
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Deep learning for tomographic image reconstruction by Wang, Ge, Ye, Jong Chul, De Man, Bruno

“…Deep-learning-based tomographic imaging is an important application of artificial intelligence and a new frontier of machine learning. Deep learning has been…”
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Machine learning pipeline for battery state-of-health estimation by Roman, Darius, Saxena, Saurabh, Robu, Valentin, Pecht, Michael, Flynn, David

“…Lithium-ion batteries are ubiquitous in applications ranging from portable electronics to electric vehicles. Irrespective of the application, reliable…”
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Concept whitening for interpretable image recognition by Chen, Zhi, Bei, Yijie, Rudin, Cynthia

“…What does a neural network encode about a concept as we traverse through the layers? Interpretability in machine learning is undoubtedly important, but the…”
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An open source machine learning framework for efficient and transparent systematic reviews by van de Schoot, Rens, de Bruin, Jonathan, Schram, Raoul, Zahedi, Parisa, de Boer, Jan, Weijdema, Felix, Kramer, Bianca, Huijts, Martijn, Hoogerwerf, Maarten, Ferdinands, Gerbrich, Harkema, Albert, Willemsen, Joukje, Ma, Yongchao, Fang, Qixiang, Hindriks, Sybren, Tummers, Lars, Oberski, Daniel L.

“…To help researchers conduct a systematic review or meta-analysis as efficiently and transparently as possible, we designed a tool to accelerate the step of…”
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Principles alone cannot guarantee ethical AI by Mittelstadt, Brent

“…Artificial intelligence (AI) ethics is now a global topic of discussion in academic and policy circles. At least 84 public–private initiatives have produced…”
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Large pre-trained language models contain human-like biases of what is right and wrong to do by Schramowski, Patrick, Turan, Cigdem, Andersen, Nico, Rothkopf, Constantin A., Kersting, Kristian

“…Artificial writing is permeating our lives due to recent advances in large-scale, transformer-based language models (LMs) such as BERT, GPT-2 and GPT-3. Using…”
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Inverse design of nanoporous crystalline reticular materials with deep generative models by Yao, Zhenpeng, Sánchez-Lengeling, Benjamín, Bobbitt, N. Scott, Bucior, Benjamin J., Kumar, Sai Govind Hari, Collins, Sean P., Burns, Thomas, Woo, Tom K., Farha, Omar K., Snurr, Randall Q., Aspuru-Guzik, Alán

“…Reticular frameworks are crystalline porous materials that form via the self-assembly of molecular building blocks in different topologies, with many having…”
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