Track Artificial Intelligence & Machine Learning
GOTO Berlin 2017

The ideas of Machine Learning and Artificial Intelligence have been around since the 1950s, but two trends have led to a surge in interest over the past few years. Many organisations now hold vastly more data about their customers and businesses, and fast connected computers have dramatically increased the processing power available to tackle the processing of this data.

In this track we will look at principles, techniques, and examples on how to improve data processing through Machine Learning techniques. This track will also highlight that Artificial Intelligence is not what Hollywood movies make us believe and that machines are not really intelligent in the human sense.

Track Speakers

Arif Wider
Aylin Caliskan
Princeton University
Christian Deger
Kaz Sato
Phil Winder
Winder Research & Development
Sarah Guido
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