GitHub

Towards GPU-Native SfM for the Deep Learning Era

Note: The project requires an NVIDIA GPU with CUDA support. The code is tested on Ubuntu 20.04 with CUDA 12.1 and PyTorch 2.3.1. Windows system is strongly ...
IEEE

Sparse Channel Reconstruction: A Generative-Adversarial-Network-Based Approach

Abstract: Wireless channels typically exhibit a sparse structure, with sparsity regarded as an inherent characteristics. A deeper understanding and accurate representation of channel sparsity ...
Smithsonian Magazine

The Never-Ending Race to Build the World’s Tallest Structure

Ever since humans began building, they’ve been building up. Throughout the millennia, our constructions have reached higher and higher into the sky, spurred by various motivations: religion, democracy ...
Tech Times

DeepSeek V4 Architecture: How Sparse Attention Cuts Inference Costs, What NIST Found

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...
Tech Times

MiniMax M3 Takes Open-Weight AI Lead: Sparse Attention Architecture Now Verified

MiniMax M3 sparse attention is now verified by Artificial Analysis, which ranks M3 first among open-weight AI models with an ...
IEEE

SAGNet: Enhancing Sparse Power Line Point Cloud Segmentation with EdgeConv and Structure Tensor Gating

Abstract: Semantic segmentation of point clouds is essential for automated inspection and maintenance in power grid systems. It enables reliable detection of critical infrastructure. However, the ...