Several people tend to think that all the new AI technologies like Convolutional neural networks, Recurrent Neural Networks, Generative adversarial networks,etc.. are used mainly in tech giants like Google , Microsoft , etc.. , in reality many enterprises are already leveraging deep learning in production like Zalando, Instacart and many others . Well known deep learning frameworks like Keras, Tensorflow, CNTK, Caffe2, etc.. are now finally reaching a larger audience.
Big data engines like Spark are finally able to pilot also deep learning workloads and also the first steps to make large deep neural networks models fit inside small cpu/low memory, occasionally connected IOT devices are coming.
Finally new hardware has been built specifically for deep learning :
But the AI space never sleeps and we are already seeing arriving new solutions/frameworks and architectures that are actually under development:
Ray: the new distributed execution framework that aims to replace the well known Spark!
Pytorch and fast.ai framework that wants to compete and beat all the existing deep learning frameworks
To overcome one of the biggest problems on deep learning : amount of training data, snorkel a new framework has been designed to create brand new training data with little human interaction
Finally to help to create a better integration and performance of the deep learning models with the applications that want to consume those models a new prediction serving system Clipper has been designed .
The speed of AI evolution is incredible and be prepared to see much more than this in the near future!