Also published in Communications of the ACM:
Reimagining search
x hide permanently

How Neural Networks Think | Careers

Communications of the ACM

Share Artificial-intelligence research has been transformed by machine-learning systems called neural networks, which learn how to perform tasks by analyzing huge volumes of training data. During training, a neural net continually readjusts thousands of internal parameters until it can reliably perform some task, such as identifying objects in digital images or translating text from one language to another.

Mentions: Hollywood MIT Tommi Jaakkola