A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...
Recently, a technique called equality saturation adapted e-graphs for program optimization. Equality saturation can ...
QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for MATLAB) developed by Stephen J. Sangwine and Nicolas Le Bihan. Their ...
Production-grade ROS2 backend for LiDAR SLAM that performs loop closure detection using Scan Context descriptors and pose graph optimization via GTSAM's ISAM2. It solves the global drift problem in ...
A graph neural network (GNN) enables deep learning on structured graph data. There are two major GNN training obstacles: 1) it relies on high-end servers with many GPUs which are expensive to purchase ...
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