IEEE

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology

Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
IEEE

Active Learning-Enhanced Pyramidal Convolution Unet for Change Detection in Optical and SAR Remote Sensing Image Pairs

Abstract: Change detection (CD) between optical and synthetic aperture radar (SAR) remote sensing (RS) image pairs is a crucial and challenging task. Because of their disparate imaging mechanisms, ...
GitHub

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

CUDA-L2 is a system that combines large language models (LLMs) and reinforcement learning (RL) to automatically optimize Half-precision General Matrix Multiply (HGEMM) CUDA kernels. CUDA-L2 ...
Hosted on MSN

You should learn this trick — a simple method that changes everything

This simple but powerful trick can completely change how you approach problems, saving time and reducing confusion. Learn the clear method behind it, why it works so well, and how to apply it across ...
Microsoft

Density Functional Theory

Molecules and materials are made of atoms, which are held together by their electrons. These electrons act as a glue, determining the stability and properties of the chemical structure. Accurately ...