Machine-learning as a technology is, without doubt, the force that will be shaping our digital world for years and years to come, making it smarter and more autonomous, and sometimes taking our breath away in the process with its apparent agency.
This branch of artificial intelligence is already doing that now, whether as the special sauce behind Nest, the company just acquired by Google for $3.2 billion, or the core of a non-profit startup project attempting to create a better HIV vaccine.
The basic premise is this: feed a machine-learning algorithm with particular data-set and its predictive powers can become startling.
Happily, humans aren’t excluded from this process. Machine learning remains a collaboration between man and machine — with the input of each enhancing and extending the other’s powers. So these algorithmic overlords don’t look like the type that want…
View original post 1,386 more words