Data science

Data science

Governments spend billions of dollars each year surveying their populations. If you have a computer and some energy, you should be able to unlock it for free.

To effectively analyze issues associated with Copilot usage, we developed specific data extraction criteria ensuring systematic retrieval of information related to problems, causes, and solutions.

MaRDIFlow's core functionality is centered on automating metadata abstraction in computational workflows, facilitating reproducibility through well-defined input-output behavior of its components.

In 2024, the overall number of Federal Circuit merits decisions increased by about 70 compared to 2023, highlighting a significant trend in the court's activity.

Dask orchestrates work across multiple workers while integrating GPU acceleration through cuDF, enabling efficient large-scale data processing for data scientists.

Counterspeech datasets are vital for studying hate speech, derived from social media platforms, often through keyword searches and responses from predefined counterspeech accounts.

The proposed framework exhibits super-balanced performance and efficiency, but has limitations such as the computational cost of the visual backbone and restricted training data.

In recent efforts to end certain U.S. government surveys, the Trump administration's DOGE team is sending its own '2025 Survey of Surveys' to federal agencies.

Numerical competence is the ability to represent, discriminate, and process numerical quantity information. Animals benefit from numerical competence in many aspects of their lives.

We believe the most successful organizations will be those that view AI not just as a tool for automation, but as a catalyst for transforming how they approach software development entirely.

'Our goal in reconstructing the Da Vinci family's lineage up to the present day, while also preserving and valuing the places connected to Leonardo, is to enable scientific research on his DNA.'

This study uncovers 8.7 million undocumented genetic variants in Brazil, filling a significant gap in genetic research, particularly for diverse and complex populations.

Microsoft Dataverse offers seamless integration with Python through Zato, enabling users to perform complete CRUD operations efficiently on any Dataverse object.

Basic measurements about the weather are the fuel for accurate forecasts. That includes information about how fast and in what direction the wind is blowing.

Spatial digital twins generate vast amounts of data from diverse sources, necessitating automated methods to derive interesting insights from this data without human intervention.

The two primary categories for spatial data modeling in geospatial domains are raster data models, which use a grid-based approach, and vector data models that represent entities using geometrical shapes.

Data skew in Apache Spark is a performance issue where a few keys dominate the data distribution, leading to uneven partitions and slow queries, especially during operations that require shuffling.

In addressing the limitations of non-parametric methods, our adaptation of the classical linear autoregressive model enables effective analysis of time series data in Hadamard spaces.

The birthday effect suggests a notable increase in mortality rates coinciding with an individual’s birthday, raising questions about the link between emotional states and health outcomes during these times.

Lonni Jung reveals critical insights about the Death Star's construction, connecting various plot elements in Andor Season 2, pulling together a complex narrative for Star Wars fans.

A caching layer is typically added to improve data access speeds; however, with MongoDB's design, such a layer often introduces unnecessary complexity rather than genuine benefits.