Transfer Learning in Scalable Graph Neural Network for Improved Physical Simulation

In recent years, graph neural network (GNN) based models showed promising results in simulating complex physical systems. However, training dedicated graph network simulator can be costly, as most models are confined to fully supervised training. Extensive data generated from traditional simulators is required to train the model. It remained unexplored how transfer learning could be …

Introducing Impressions at Netflix

Part 1: Creating the Source of Truth for Impressions By: Tulika Bhatt Imagine scrolling through Netflix, where each movie poster or promotional banner competes for your attention. Every image you hover over isn’t just a visual placeholder; it’s a critical data point that fuels our sophisticated personalization engine. At Netflix, we call these images ‘impressions,’ and …

With MultiKueue, grab GPUs for your GKE cluster, wherever they may be

Artificial Intelligence (AI) and large language models (LLMs) are experiencing explosive growth, powering applications from machine translation to artistic creation. These technologies rely on intensive computations that require specialized hardware resources, like GPUs. But access to GPUs can be challenging, both in terms of availability and cost. For Google Cloud users, the introduction of Dynamic …

Monthly Promotion Megathread – February 2025

Howdy, I was a two weeks late to creating this one and take responsibility for this. I apologize to those who utilize this thread monthly. Anyhow, we understand that some websites/resources can be incredibly useful for those who may have less technical experience, time, or resources but still want to participate in the broader community. …