Anthropic updated Claude Managed Agents to include capabilities like Dreaming, which lets users toggle memory and ensure ...
Abstract: In this work, we propose a complex-valued neural operator (CV-NeuralOp) based on graph neural networks (GNNs) to solve 2-D wave equations. Inspired by Green’s function method for solving ...
Pangenomes, which capture the genetic diversity of populations more comprehensively than traditional linear genomes, are foundational to understanding genetic variation in species. While calculating ...
Aim Causal inference relies on correct background knowledge, which epidemiologists generally understand to come from academic experts. Our community-engaged study augments scientific domain knowledge ...
I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.
ABSTRACT: Under variable-speed conditions in modern industry, rolling bearing vibration signals are highly non-stationary, and fault features are easily obscured by speed interference and noise.
SpaceX is planning its next rocket launch for Thursday morning from Cape Canaveral, Florida. The launch window opens at 6:35 a.m. and closes at 10:35 a.m. on March 19. The rocket's booster is set to ...
I make short, to-the-point online math tutorials. I struggled with math growing up and have been able to use those experiences to help students improve in math through practical applications and tips.
Abstract: Critical nodes in complex networks are of fundamental importance, as they play essential roles in maintaining the network’s functionality, performance, stability, robustness, and dynamic ...
AI agents speed up tasks while allowing people to focus on other complicated tasks. Perplexity, for instance, has caught up in this game by unveiling its newest AI agent named "Computer." The ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...