Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
IEEE

Efficient Calculation of Propagation Coefficients in Anisotropic Media Through Transfer Matrix Method Based on Eigenvalue Analysis

Abstract: To explore the anisotropic nature and improve computational efficiency, eigenvalue (EV-) analysis is adopted to implement the transfer matrix method (TMM), abbreviated as EV-TMM, enabling ...
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 ...
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 ...