C++11 Delaunay triangulation implementation (Bowyer-Watson) - jbegaint/delaunay-cpp ...

This results in a smaller number of vectors. Conversely, to maximize the number of vectors, SSD capacity consumption per vector needs to be reduced, which results in lower performance.

My embedding model is Qwen/Qwen3-Embedding-0.6B, with the agent-zero version == v0.8.7 When I try to start a conversation, the vector initialization takes long time, and later I got the error below: ...

Object SLAM is a popular approach for autonomous driving and robotics, but accurate object perception in outdoor environments remains a challenge. State-of-the-art object SLAM algorithms rely on ...

Spiking Neural Network (SNN), developing on neuromorphic hardware, is a promising energy-efficient AI paradigm. However, processing over several timesteps reduces the energy benefits of SNNs due to ...