Le Lézard

MicroCloud Hologram Inc. Utilizes FPGA to Accelerate Tensor Network Computing to Achieve Quantum Spin Models

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...

A New Ally Against Tooth Decay: Arginine Offers Sweet Relief

New human clinical trial proves arginine, an amino acid, can modify plaque formation on teeth, thereby protecting ...
IEEE

Federated Chain Context Optimization for Long-Tailed Multi-Label Image Classification

Abstract: Federated learning is an emerging machine learning paradigm that effectively alleviates the data silo problem by distributing the model training process to multiple data holders. However, ...
Warc

Create effective marketing with

When it comes to developing highly effective marketing, WARC is the most trusted source of insight and inspiration for world leading brands, agencies, media owners and academic institutions. With our ...
IEEE

A Comprehensive Review of Parallel Optimization Algorithms for High-Dimensional and Incomplete Matrix Factorization

Abstract: High-dimensional and incomplete (HDI) matrices are commonly encountered in various big data-related applications for illustrating the complex interactions among numerous entities, like the ...
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 ...
blockchain

AI Performance Optimization: Key Principles from Jeff Dean and Sanjay Ghemawat’s Performance Hints Document

According to Jeff Dean (@JeffDean), he and Sanjay Ghemawat have published an external version of their internal Performance Hints document, which summarizes years of expertise in performance tuning ...