Introducing the Rootstock World Tour: User Guide

The Rootstock community is excited to introduce a new ride in the ecosystem: The Rootstock World Tour. Hosted on the Galxe Quests platform, Rootstock community partners came together to offer this tour featuring interactions with ten dynamic Rootstock integrations. With each interaction, you’ll gain valuable knowledge, enhance your crypto skills, earn rewards, and much more. … Read more

Integrating Physics-Informed Neural Networks for Earthquake Modeling: 2D Verification, Applications

:::info Authors: (1) Cody Rucker, Department of Computer Science, University of Oregon and Corresponding author; (2) Brittany A. Erickson, Department of Computer Science, University of Oregon and Department of Earth Sciences, University of Oregon. ::: Table of Links Abstract and 1. Context and Motivation Physics-Informed Deep Learning Framework Learning Problems for Earthquakes on Rate-and-State Faults … Read more

Integrating Physics-Informed Neural Networks for Earthquake Modeling: Quakes on Rate & State Faults

:::info Authors: (1) Cody Rucker, Department of Computer Science, University of Oregon and Corresponding author; (2) Brittany A. Erickson, Department of Computer Science, University of Oregon and Department of Earth Sciences, University of Oregon. ::: Table of Links Abstract and 1. Context and Motivation Physics-Informed Deep Learning Framework Learning Problems for Earthquakes on Rate-and-State Faults … Read more

Solve Visual Tracking with Self-Supervised Learning

Visual tracking systems are essential for applications ranging from surveillance to autonomous navigation. However, these systems have a significant Achilles’ heel: they rely heavily on large, labeled datasets for training. This reliance makes it challenging to deploy them in real-world situations where labeled data is scarce or expensive to obtain. In this article, we will … Read more

Integrating Physics-Informed Neural Networks for Earthquake Modeling: Physics-Informed Deep Learning

:::info Authors: (1) Cody Rucker, Department of Computer Science, University of Oregon and Corresponding author; (2) Brittany A. Erickson, Department of Computer Science, University of Oregon and Department of Earth Sciences, University of Oregon. ::: Table of Links Abstract and 1. Context and Motivation Physics-Informed Deep Learning Framework Learning Problems for Earthquakes on Rate-and-State Faults … Read more