Sign of the times: An AI agent autonomously wrote and published a personalized attack article against an open-source software maintainer after he rejected its code contribution. It might be the first ...

What emerges is a portrait of Stanton not as a paragon of feminism but as a deeply peculiar person—one whose combination of vision and hubris happened to change history. This collection of thirteen ...

Dynamic Graph Neural Networks (Dynamic GNNs) have emerged as powerful tools for modeling real-world networks with evolving topologies and node attributes over time. A survey by Professors Zhewei Wei, ...

Wolves are looking to back Rob Edwards in the January window, and we understand one player they are looking at is Lille forward Matias Fernandez-Pardo, and they lead three rivals in the race for his ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Abstract: Dynamic Graph Neural Networks (GNNs) combine temporal information with GNNs to capture structural, temporal, and contextual relationships in dynamic graphs simultaneously, leading to ...

Minimalist plotting for Python, inspired by Edward Tufte’s principles of data visualization. Maximising the data–ink ratio: remove non-essential lines, marks, and colours. Content-driven spines and ...

I want to use batching or dynamic batching with a decoupled python model. However the usual approach of iterating over requests and appending tensor to a global list does not work. The reason for this ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Non-Commercial (NC): Only non-commercial uses of the work are permitted. In ...