TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
IEEE

STF-GCN: A Multi-Domain Graph Convolution Network Method for Automatic Modulation Recognition via Adaptive Correlation

Abstract: Automatic Modulation Recognition (AMR) is an essential part of Intelligent Transportation System (ITS) dynamic spectrum allocation. However, current deep learning-based AMR (DL-AMR) methods ...
Kaleido Scope

Maximize Your Time with the Eisenhower Matrix

Discover how the Eisenhower Matrix can help you prioritize your tasks based upon urgency and importance. Learn how to use the matrix to focus on what truly matters while reducing time spent on ...
IEEE

DPCM-HAEM: A Hyperspectral Image Unmixing Method Based on Dual-Path Convolution Module and Hybrid Attention Enhancement Mechanism

Abstract: In recent years, deep learning-based methods have attracted considerable attention in hyperspectral image (HSI) hyperspectral unmixing (HU) tasks due to their robust feature extraction and ...