29 Jun '16, 11pm

#Machinelearning for the future

#Machinelearning for the future

The growing number of applications that rely heavily on computer vision, language understanding and robotics, it can't be denied that we are now living in the era of deep learning and large-scale neural networks. What we now want most from machine learning, said Google Senior Fellow Jeff Dean to the audience at SIGMOD 2016 keynote yesterday (Tuesday, June 28), is “understanding." “We now have sufficient computation resources, large enough interesting data sets,” Dean told SIGMOD attendees. “We can store tons of interesting data but what we really want is understanding about that data.” In a keynote talk, Dean outlined the history of machine learning (ML) and neural networks and various ways to programme models to take advantage of raw data coming through in the form of images or audio. He also detailed how ML has taken shape at Google, which recently announced that it will...

Full article: http://www.eetasia.com/news/article/machine-learning-for-...

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