Abstract: Factor graphs have demonstrated remarkable efficiency for robotic perception tasks, particularly in localization and mapping applications. However, their application to optimal control ...

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 ...

The research fills a gap in standardized guidance for lipidomics/metabolomics data analysis, focusing on transparency and reproducibility using R and Python. The approach offers modular, interoperable ...

Abstract: Temporal graphs are commonly used to represent complex systems and track the evolution of their constituents over time. Visualizing these graphs is crucial as it allows one to quickly ...

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

The cloud SIEM is gaining long-term data lake log storage, AI graph visualization, support for MCP, and a way to interact with custom agents built in Security Copilot, but it’s unclear yet whether ...

Fifteen years ago, I introduced the zero-trust security model while working as an analyst at Forrester Research. At the time, cybersecurity was still rooted in perimeter-based thinking, built on the ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

Ford Motor Company (NYSE: F) is known for many things, including championing the moving assembly line that drastically changed the automotive industry in its infancy. It's also known for its lucrative ...

Ford's 90 recalls so far in 2025 already sets a record. Recalls don't typically impact auto stocks, but there are exceptions. This recall will incur a special item on earnings, not impacting adjusted ...