Now more platform than toolkit, TensorFlow has made strides in everything from ease of use to distributed training ... as a machine learning and neural network library based on data flow graphs ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm ... In this case, we’re training the algorithm to predict when that heartbeat will occur.

But it is also just a tiny fraction of what AI could be. Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. The grand idea is to develop something ...

Indeed, AI stands on three key pillars: algorithms ... delivering training datasets for AI in the most advanced way possible. Labeling data is an important part of the machine learning production ...