Stanford's Artificial Neural Network Is The Biggest Ever
Neurons joel.geerling via Wikimedia Commons It's 6.5 times bigger than the network Google premiered last year, which has learned to recognize YouTube cats. Last summer, in conjunction with Stanford researchers, Google[x], the R&D arm where ideas like Project Glass are born, built the world's largest artificial neural network designed to simulate a human brain. Now Andrew Ng, who directs Stanford's Artificial Intelligence Lab and was involved with Google's previous neural endeavor, has taken the project a step further. He and his team have created another neural network, more than six times the size of Google's record-setting achievement. Artificial neural networks can model mathematically the way biological brains work, allowing the machine to learn to think in the same ways that humans do--making them capable of recognizing things like speech, objects and even cats like we do. The model Google developed in 2012 was made up of 1.7 billion parameters, the digital...