然而，随着人工智能模型的规模不断扩张，单纯依靠简单直接「堆参数、堆数据」提升性能的模式正逐渐遇到瓶颈。面对大模型训练代价高昂、性能增长趋缓等挑战，学术界和产业界亟需新的网络架构创新。 近日，范鹤鹤（浙江大学）、杨易（浙江大学）、Mohan ...

Abstract: Graph-based semi-supervised learning (GSSL) has long been a research focus. Traditional methods are generally shallow learners, based on the cluster assumption. Recently, graph convolutional ...

A high-performance computing project implementing and optimizing various CUDA-based 1D convolution algorithms. This repository explores different optimization techniques and compares their performance ...

Months of effort by Sean Combs & his team to secure a presidential pardon from Donald Trump have apparently come up short due ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that active exploration is underway in the ...

Abstract: Extracting spatial–spectral joint features has become a critical approach for improving model classification performance in the field of hyperspectral image classification (HSIC). However, ...

Safflower (Carthamus tinctorius L.) is an important medicinal and economic crop, where efficient and accurate filament grading is essential for quality control in agricultural and pharmaceutical ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

Today Danny unboxes the T238 V2 Large Capacity Grenade Toy with Time-delayed Function for Gel Ball BBs Airsoft Wargame - Grey ...

I have to agree with President Trump—it isn’t fair for trade to be a one-way affair. All he is trying to do is level the ...

According to a recent study conducted by the University of Waterloo, many robots suffer from a serious security weakness.