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View All on GitHubAI Summary: The task involves creating a computational framework for the geometric Langlands conjecture using a neural-symbolic architecture and swarm intelligence. This includes developing a symbolic engine for mathematical rigor, neural networks for pattern recognition, and a 10-agent swarm for distributed computation. The project aims to bridge pure mathematics, AI, and distributed computing, ultimately democratizing access to abstract mathematics and accelerating mathematical discovery.
A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.
AI Summary: Create a CONTRIBUTORS.md file to acknowledge all contributors to the ruv-FANN project by reviewing GitHub issues and pull requests, categorizing contributors (project creator, code, issues, documentation), and adding them to the file with links to their GitHub profiles. A process for updating the file with future contributions should also be outlined.
A blazing-fast, memory-safe neural network library for Rust that brings the power of FANN to the modern world.