Replica theory shows deep neural networks think alikeMost successful deep neural networks follow a similar trajectory in a low-dimensional space.Different neural networks take different paths but ultimately move the same way towards accuracy.
Matrix Manifold Neural Networks | HackerNoonDeep neural networks can be adapted to Riemannian manifolds, enhancing applications in computer vision and natural language processing.
Replica theory shows deep neural networks think alikeMost successful deep neural networks follow a similar trajectory in a low-dimensional space.Different neural networks take different paths but ultimately move the same way towards accuracy.
Matrix Manifold Neural Networks | HackerNoonDeep neural networks can be adapted to Riemannian manifolds, enhancing applications in computer vision and natural language processing.
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.
Yann LeCun On How An Open Source Approach Could Shape AIYann LeCun was awarded the Turing Award in 2018 for his work on deep neural networks.LeCun and his team at Meta are now focused on building new AI products.