Braid Based Network

Braid-based networks leverage the mathematical concept of braids to model and solve problems across diverse fields. Current research focuses on applying braid theory to optimize neural network architectures, plan paths for multiple robots while avoiding entanglement, and even discover new mathematical invariants through machine learning techniques, often employing neural networks and reinforcement learning algorithms. This interdisciplinary approach holds significant promise for advancing both theoretical understanding in areas like topology and group theory, and for practical applications in robotics and artificial intelligence.