Abstract: Many robotics applications benefit from being able to compute multiple geodesic paths in a given configuration space. Existing paradigm is to use topological path planning, which can compute ...
Abstract: Graph Convolutional Networks (GCNs) are powerful learning approaches for graph-structured data. GCNs are both computing- and memory-intensive. The emerging 3D-stacked computation-in-memory ...
CSV files serve as a lightweight, plain-text standard for tabular data storage that has become indispensable in cryptocurrency due to their simplicity, universal compatibility, and ability to organize ...
Structured data exports from the forensic analysis of the 218GB DOJ Jeffrey Epstein file release (all 12 datasets + House Oversight Estate + FBI Vault: 1,385,879 documents, 2,770,154 pages). I have ...
Process Improvement Data Analytics Platform A production‑ready data analytics platform with three interactive dashboards for retail sales optimization, supply chain efficiency, and customer support ...
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