Amazon Investing In Robots With Artificial Intelligence That Can “Learn”

Fact checked by The People's Voice Community

Unlike many of us, Amazon (the world’s largest retailer), is very excited about artificial intelligence.  With the recent reports in mainstream media about robots that are passing self-awareness tests and robots and robotic brains that are able to teach themselves, many are asking one question:  is the age of true artificial intelligence finally being ushered into our world?

The mega corporation is now investing in artificial intelligence that can not only detect fraud – but that can anticipate what you want to buy as well as sales and price forecasts.

The company wants the intelligence to actually learn what you want to buy in the next five weeks.  Some may call that invasive – what do you think?


Amazon is a well-oiled $248 billion machine … one that needs to be highly powered at all times.

According to the Wall Street Journal, is beefing up its artificial-intelligence. The world’s largest retailer is reportedly expanding its machine learning, rolling out its platform for European developers. That’s not it, either. Amazon is also hiring scientists to complement its researchers in New York and Berlin, who calibrate machines to carry out activities such as the prediction of sales as well as the prediction of fraud.

“Machine-learning software predicts what a customer is likely to do in the next five seconds or in the next five weeks,” Ralf Herbrich, European Union director of machine learning at Amazon and managing director of the Amazon Development Center in Germany, told the Wall Street Journal. “It’s pattern recognition at scale.”

Amazon and It’s Software Scientists

Amazon currently counts 150 software engineers and scientists in Berlin, specializing in big data and machine learning. In New York, Herbrich said scientists will zero in on demand forecasting and predicting how consumers will select products and how likely they are to click on a relating link or purchase an item.

Before landing at Amazon, Herbrich had worked for Microsoft Research and Facebook, two tech giants that also have AI labs in New York.

Amazon had already been using machine learning to predict prices for millions of products and for recommendation forecasting within the search function. As an example, the Journal mentioned 300 shoes being sold in Moscow in 2014 and the following prediction of how many shoes will be sold there in 2015 automatically generated.

Amazon’s prediction forecasting will reportedly key in on fashion apparel and shoes — markets that are hard to predict, even when using historical data as a base.

Royce Christyn
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