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
doaj +1 more source
Google Landmarks Dataset v2 – A Large-Scale Benchmark for Instance-Level Recognition and Retrieval [PDF]
Computer Vision and Pattern Recognition, 2020 While image retrieval and instance recognition techniques are progressing rapidly, there is a need for challenging datasets to accurately measure their performance -- while posing novel challenges that are relevant for practical applications.
Tobias Weyand +3 more
semanticscholar +1 more source
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
doaj +1 more source
ETA Prediction with Graph Neural Networks in Google Maps [PDF]
International Conference on Information and Knowledge Management, 2021 Travel-time prediction constitutes a task of high importance in transportation networks, with web mapping services like Google Maps regularly serving vast quantities of travel time queries from users and enterprises alike.
Austin Derrow-Pinion +16 more
semanticscholar +1 more source
Subtle adversarial image manipulations influence both human and machine perception
Nature Communications, 2023 Although artificial neural networks (ANNs) were inspired by the brain, ANNs exhibit a brittleness not generally observed in human perception. One shortcoming of ANNs is their susceptibility to adversarial perturbations—subtle modulations of natural ...
Vijay Veerabadran +10 more
doaj +1 more source
ChatGPT vs Google for Queries Related to Dementia and Other Cognitive Decline: Comparison of Results
Journal of Medical Internet Research, 2023 Background People living with dementia or other cognitive decline and their caregivers (PLWD) increasingly rely on the web to find information about their condition and available resources and services.
Vagelis Hristidis +4 more
semanticscholar +1 more source
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms
Communications Medicine, 2022 Bae et al. prospectively evaluated smartphone camera-based techniques for measuring heart rate and respiratory rate. They found measurements were accurate across a range of pre-defined subgroups.
Sean Bae +22 more
doaj +1 more source
Google Bard Generated Literature Review: Metaverse
Journal of AI, 2023 Literature review articles aim to present studies in a field to researchers in a regular, systematic and meaningful way. It is often a very difficult process to reach all the studies in the field to be reviewed or to identify and evaluate the important ...
Ömer Aydın
semanticscholar +1 more source
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
Nature Communications, 2022 GWAS often assume a linear phenotype-covariate relationship which may not hold in practice. Here the authors present DeepNull, in which they apply deep learning to identify and adjust for complex non-linear relationships, improving phenotypic prediction ...
Zachary R. McCaw +7 more
doaj +1 more source
Interpretable survival prediction for colorectal cancer using deep learning
npj Digital Medicine, 2021 Deriving interpretable prognostic features from deep-learning-based prognostic histopathology models remains a challenge. In this study, we developed a deep learning system (DLS) for predicting disease-specific survival for stage II and III colorectal ...
Ellery Wulczyn +22 more
doaj +1 more source