Model-based approaches for image reconstruction, analysis, and interpretation have made significant progress over the past decades. Many of these approaches are based on either mathematical, physical, ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

End-to-end SQL project analyzing Walmart sales data using PostgreSQL. Includes data cleaning with Python(pandas), business insights, and advanced SQL queries to solve real-world retail problems ...

Mixed noise pollution in HSI severely disturbs subsequent interpretations and applications. In this technical review, we first give the noise analysis in different noisy HSIs and conclude crucial ...

Meta has unveiled V-JEPA 2, an advanced AI model designed to help machines understand and predict physical interactions in the real world. Trained entirely on video data, V-JEPA 2 improves how ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire ...

Meta has launched V-JEPA 2, an open-source AI that uses spatial reasoning to predict physical events without video, aiding real-world tasks like self-driving cars.

The data to train clinical AI models for hospitals and other health-care settings need to accurately reflect the variability of patients, diseases and medical practices, she adds. Without that, the ...

In a groundbreaking advancement for climate science, researchers have unveiled Aurora, an AI model trained on over a million hours of data to deliver faster, more accurate, and more accessible ...

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based ...