I'm rather young (25-30), so I didn't get to know the first "AI winter", but to me there is still potential for improvement of neural networks. Both hardware (n

I'm rather young (25-30), so I didn't get to know the first "AI winter", but to me there is still potential for improvement of neural networks. Both hardware (new DSP cores) and theories related to NN (transfer learning, layers architectures) can be improved, and also new business applications who are not yet developed because of the impact on people's jobs. We didn't reach the full potential of neural networks, IMHO. Wait before we start connecting 100's of today's neural networks together and see what happen. On a bigger scale of time, we could say the "AI winter" actually never existed, as all those last decades were dedicated to developing the hardwares and concepts we needed for today's algorithms. It was a long iteration of the loop 'hardware <-> algorithms <-> applications <-> new hardware needs' "AI", as I imagine it, is not a product someone can sell. It's not tangible, it's hardly measurable, it's not only one technology, it's more a philosophical concept too me. Edit : As for example, there is right now a link titled "Generating custom photo-realistic faces using AI" on the front page. It's misnamed, as an actual "AI" would probably not let itself be "used". The title would be better named "Generating custom photo-realistic faces using Neural Networks" (or "Deep Learning", or "Machine Learning")