The transition from basic RAG to AI Infrastructure powered by Context Engineering is not a future scenario, it is today’s ...

Abstract: The facility location problem is very important which can be mathematically modeled as a fixed point problem. the feasible area of the decision is defined mostly on a non-convex meshwork ...

Explore how backward induction helps solve game theory problems by working from the end backward to determine optimal actions. Learn with practical examples.

KernelOptimizer is an open-source tool that automates CUDA kernel optimization for PyTorch workloads using large language models (LLMs). Inspired by Stanford CRFM’s fast kernel research, it leverages ...

This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you ...

Abstract: Passive millimeter-wave (PMMW) imaging is an ideal technique for concealed object detection in non-contact security inspection scenarios, and has been widely used in railway stations and ...