Mapping movements of ocean creatures great and small
May 6, 2018
Big data shows that large marine vertebrates move differently, but consistently, through coastal and ocean waters.
Results for big data
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Querying big data just got universal
Jun 23, 2019
A universal query engine for big data that works across computing platforms could accelerate analytics research.
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AI learns complex gene-disease patterns
Sep 1, 2019
A deep learning model improves the ability to identify genes potentially involved in disease.
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Training agents to walk with purpose
May 31, 2020
By training a search agent to make smarter exploratory decisions, relational data can be classified more accurately and efficiently.
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Keep the data coming
Nov 8, 2020
A continuous data supply ensures data-intensive simulations can run at maximum speed.
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Volcanic eruptions have a bigger impact in summer
Nov 17, 2020
Modeling shows that volcanic eruptions can cause changes in global climate, if the timing is right.
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Charging ahead for electric vehicles
Jan 3, 2021
Roads installed with wireless charging technology could become an integral feature of our cities in an electric vehicle future.
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Cloud simulations get a dose of realism
Feb 15, 2021
A focus on the fundamental physics of cloud formation leads to highly realistic simulations of different types of clouds.
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Getting the inside track on street design
Mar 29, 2021
Large-scale analysis of pedestrian data from three European cities examines how building density and street design influence pedestrian behavior.
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Predicting future hotspots in the Red Sea
Apr 8, 2021
Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
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Machine learning at speed
Apr 12, 2021
Optimizing network communication accelerates training in large-scale machine-learning models.
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Starlight, star bright…as explained by math
Apr 25, 2021
The evolving periodicity of the brightness of certain types of stars can now be described mathematically.
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Mixing precision for model acceleration
Jul 26, 2021
A mixed-precision approach for modeling large geospatial datasets can achieve benchmark accuracy with a fraction of the computational run time.
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Trio of tuning tools for modeling large spatial datasets
Aug 12, 2021
Statistical tools help fine-tune the parameters and approximations of models used to make sense of large spatial datasets.
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Beating the curse of dimensionality
Aug 15, 2021
A partial matching approach can overcome the dimensionality "curse" of continuous measurements over time to yield more accurate future predictions.
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Drop the zeros for a performance boost
Aug 23, 2021
An eight-fold speed up of deep machine learning can be achieved by skipping the transmission of zero values.
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Decrypting the interdependence of cryptocurrencies
Jan 13, 2022
The statistics of extreme events reveal that cryptocurrency prices tend to fall in tandem but rise more independently.
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Competition sheds light on approximation methods for large spatial datasets
Jan 19, 2022
Comparing different approximation methods for analyzing large spatial datasets allows for a better understanding of when these methods become insufficient.
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Getting the tail straight
Feb 13, 2022
A corrected description of the "tail dependence" for extreme events leads to a better statistical model for environmental data.
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A skewed model for imbalanced health data
Nov 7, 2022
An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets.
