How AI coding agents work—and what to remember if you use them

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Understanding Backward Induction in Game Theory: Process and Examples

Explore how backward induction helps solve game theory problems by working from the end backward to determine optimal actions ...
GitHub

SK-Arafat/Optimizer_kernel

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 ...
GitHub

Adaptive Graph Convolution for Point Cloud Analysis

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 ...
IEEE

Mixing Self-Attention and Convolution: A Unified Framework for Multisource Remote Sensing Data Classification

Abstract: Convolution and self-attention are two powerful techniques for multisource remote sensing (RS) data fusion that have been widely adopted in Earth observation tasks. However, convolutional ...
IEEE

Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images

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 ...