A smarter approach to training AI modelsDeep neural networks are facing significant limitations, and new approaches could lead to major advancements in AI.
Matrix Manifold Neural Networks | HackerNoonDeep neural networks can be adapted to Riemannian manifolds, enhancing applications in computer vision and natural language processing.
A smarter approach to training AI modelsDeep neural networks are facing significant limitations, and new approaches could lead to major advancements in AI.
Matrix Manifold Neural Networks | HackerNoonDeep neural networks can be adapted to Riemannian manifolds, enhancing applications in computer vision and natural language processing.
A Lie Group Approach to Riemannian Batch Normalization | HackerNoonUnified framework for Riemannian Batch Normalization on Lie groups enables better control of mean and variance for manifold-valued DNNs.
Driverless cars still lack common sense. AI chatbot technology could be the answerNew AI systems, like language-capable models, can enhance driverless cars to behave more like human drivers.