The post-training revolution: How reinforcement learning is upending the AI infra stack

TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session.  The reinforcement learning market has exploded, with enterprises ...
GitHub

Reproduce ResNet-v2 using MXNet

retrain When training large dataset (like imagenet), it's better for us to change learning rate manually, or the training is killed by some other reasons, so retrain is very important. the code here ...
IEEE

Predicting Sevearity of Type 2 Diabetic Retinopathy Using Retinal Fundus Images with new DeepLearning Architectures from the Inception and Resnet Families

Abstract: Due to its high morbidity and medical expenses, DR mellitus (T2DM) is a serious global health concern. Its burden can be lessened with effective early prognosis, but the available treatments ...
IEEE

On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing

Abstract: Transfer learning with pretrained models from general computer vision tasks is widely adopted in remote sensing, offering reduced training costs and improved performance across applications ...