Results 1 to 10 of about 377,154 (313)
Removing leakage-induced correlated errors in superconducting quantum error correction
Nature Communications, 2021 Correlated errors coming from leakage out of the computational subspace are an obstacle to fault-tolerant superconducting circuits. Here, the authors use a multi-level reset protocol to improve the performances of a bit-flip error correcting code by ...
M. McEwen +50 more
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COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease
Scientific Data, 2022 Measurement(s) Epidemiology Technology Type(s) Python Factor Type(s) cases • deaths • vaccinations Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment anthropogenic environment Sample Characteristic - Location North America •
Oscar Wahltinez +11 more
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Learning few-shot imitation as cultural transmission
Nature Communications, 2023 Cultural transmission is the domain-general social skill that allows agents to acquire and use information from each other in real-time with high fidelity and recall. It can be thought of as the process that perpetuates fit variants in cultural evolution.
Avishkar Bhoopchand +17 more
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Scientific Reports, 2021 Chest radiography (CXR) is the most widely-used thoracic clinical imaging modality and is crucial for guiding the management of cardiothoracic conditions.
Zaid Nabulsi +22 more
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Soli-enabled noncontact heart rate detection for sleep and meditation tracking
Scientific Reports, 2023 Heart rate (HR) is a crucial physiological signal that can be used to monitor health and fitness. Traditional methods for measuring HR require wearable devices, which can be inconvenient or uncomfortable, especially during sleep and meditation ...
Luzhou Xu +19 more
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Deep learning for twelve hour precipitation forecasts
Nature Communications, 2022 Can AI learn from atmospheric data and improve weather forecasting? The neural network MetNet-2 achieves this by forecasting the fast changing variable of precipitation up to 12 h ahead more accurately and efficiently than traditional models based on ...
Lasse Espeholt +11 more
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Customization scenarios for de-identification of clinical notes
BMC Medical Informatics and Decision Making, 2020 Background Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, yet their deployment has been ...
Tzvika Hartman +18 more
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Deciphering clinical abbreviations with a privacy protecting machine learning system
Nature Communications, 2022 Patient notes contain shorthand and abbreviations that may be jargon or clinical vernacular. Here the authors train large machine learning models on public web data to decode such text by replacing abbreviations with their meanings.
Alvin Rajkomar +8 more
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Impacts of social distancing policies on mobility and COVID-19 case growth in the US
Nature Communications, 2021 In response to COVID-19, many states have implemented social distancing orders, but the effect of these orders on population mobility has not been fully quantified.
Gregory A. Wellenius +28 more
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A neural encoder for earthquake rate forecasting
Scientific Reports, 2023 Forecasting the timing of earthquakes is a long-standing challenge. Moreover, it is still debated how to formulate this problem in a useful manner, or to compare the predictive power of different models.
Oleg Zlydenko +8 more
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