@murage_kibicho: This Arxiv AI paper ends with the author's wish to marry his high school sweetheart. Chinese tech academia is super int…

X AI KOLs Timeline Papers

Summary

An Arxiv AI paper on polynomial approximation of activation functions ends with the author's wish to marry his high school sweetheart, highlighting a personal touch in Chinese tech academia.

This Arxiv AI paper ends with the author's wish to marry his high school sweetheart. Chinese tech academia is super intimate. https://t.co/3uLUJMnVA6 https://t.co/N5R5MDbW3A
Original Article
View Cached Full Text

Cached at: 07/15/26, 11:52 AM

This Arxiv AI paper ends with the author’s wish to marry his high school sweetheart. Chinese tech academia is super intimate. https://t.co/3uLUJMnVA6 https://t.co/N5R5MDbW3A


On Polynomial Approximation of Activation Function

Source: https://arxiv.org/abs/2202.00004 Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Code, Data, Media

Code, Data and Media Associated with this Article

Demos

Demos

Related Papers

Recommenders and Search Tools

IArxiv recommender toggle

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv’s community?Learn more about arXivLabs.

Similar Articles

@Xudong07452910: This might be the last paper written by humans for AI to read. Recently came across a paper co-authored by 37 authors from Stanford, CMU, Michigan, etc.: 'The Last Human-Written Paper'. The core point is quite bold: the centuries-old paper format may be outdated in the AI era...

X AI KOLs Timeline

A paper co-authored by 37 authors from Stanford, CMU, Michigan, etc. proposes ARA (Agent-native Research Artifact) to replace the traditional paper format, aiming to solve the narrative tax and engineering tax, enabling AI agents to understand, reproduce, and extend research.