Practice: Every chapter is accompanied by high quality implementation based on Python 3.10, Gym 0.23, and TensorFlow 2 / PyTorch 1. Codes in first 9 chapters only depends on minimum installation of ...

We propose a new framework for simulating and optimizing large photonic circuits. The framework utilizes gpu-acceleration to efficiently simulate the circuits in a highly parallel manner, while ...

You can do this by going into the Device Manager (right-click on the Windows icon on the taskbar and select it). Locate ...

From your laptop to a loud GPU cluster, AI prompts are a mysterious energy drain. Our columnist attempted to trace their ...

A Redditor tried this, and the results weren't good - unsurprisingly - but the option to eject a GPU only appears in a very ...

Learn how to use Render Network for decentralized GPU rendering. Discover how RNDR tokens work, how to submit render jobs, ...

Learn how to use Render Network for decentralized GPU rendering. Discover how creators and GPU owners can earn and contribute ...

Sorry if my question is dumb but I'm new in the LiveKit open-source ecosystem. Is there any specific config to add to the LiveKit egress Helm chart deployment to make it able to use GPU nodes ? On my ...

Semiconductor manufacturing requires highly precise defect detection to ensure product quality and yield. This paper presents a deep learning-based defect detection framework using Faster R-CNN to ...