NEAR AI Paper Club - AlphaGeometry
Welcome to NEAR AI's second IRL paper club where we plan to decode AlphaGeometry - a groundbreaking system that solves complex geometric problems at the level of human Olympic gold medalists.
In this session, we'll unpack the architecture behind AlphaGeometry's neuro-symbolic approach, implications for AI systems' reasoning capabilities, the role of synthetic data in training sophisticated AI models, and the future applications in mathematics and beyond!
You should attend if you're an AI researcher, math enthusiast, and/or just curious about the future of automated mathematical reasoning!
Event Details:
Date: Thursday, November 21
Time: 6:30pm - 8:00pm
Format: Discussion based lead by a moderator (Alexander Skidanov, Co-Founder of NEAR AI).
Audience: Researchers and practitioners interested in machine learning, distributed systems, and large-scale computing.
Active participation is encouraged!!
Before Joining the Paper Club:
Please familiarize yourself with the paper: https://deepmind.google/discover/blog/alphageometry-an-olympiad-level-ai-system-for-geometry/
Come prepared to engage in a discussion, sharing your thoughts, questions, and insights about the paper.
Be respectful and open-minded, listening to diverse perspectives and opinions.
Avoid presenting your own research or promoting your own work during the discussion.
Keep the discussion focused on the paper and its implications, avoiding off-topic conversations.
About the Organizers
NEAR AI: A research organization dedicated to teaching machines to code, enabling them to conduct research that advances open-source AGI.
EDGR: A research & development foundation advancing edge intelligence. Established in early 2023, Edge was founded in response to the rapidly evolving AI and next-gen web landscape, emphasizing open, autonomous, and user-centric intelligence. It currently operates one of the largest Open Source Campus in San Francisco. Follow them at @EdgeAGI.