Posts in category: Amazon AWS

Related data selection techniques yield benefits for both speech recognition and natural-language understanding.Read More

Matt Taddy, the chief economist for Amazon’s North America Consumer organization, talks about his recent book, and explains why economists should consider pursuing a career at the company.Read More

Amazon’s consumer worldwide CEO talks about the history of machine learning at Amazon.Read More

At re:MARS 2019, Brad Porter, Amazon’s vice president of robotics, talked about how a symphony of humans and robots work together to deliver customer orders.Read More

Amazon’s director of forecasting, Jenny Freshwater, speaks about how AI is used to power forecasting decisions, so that items are always in stock for Amazon’s customers.Read More

Time series forecasting, bandit problems, and optimization are integral to Amazon’s efforts to deliver better value for its customers.Read More

Michael I. Jordan, Amazon Scholar and professor at the University of California, Berkeley, writes about the classical goals in human-imitative AI, and reflects on how in the current hubbub over the AI revolution it is easy to forget that these goals haven’t yet been achieved.Read More

In 2017, when the journal IEEE Internet Computing was celebrating its 20th anniversary, its editorial board decided to identify the single paper from its publication history that had best withstood the “test of time”. The honor went to a 2003 paper called “Amazon.com Recommendations: Item-to-Item Collaborative Filtering”, by then Amazon researchers Greg Linden, Brent Smith, and Jeremy York.Read More

Konstantinos Benidis talks about his experience as an intern at Amazon, and why he decided to pursue a full-time role at the company.Read More

Today is the fifth anniversary of the launch of the Amazon Echo, so in a talk I gave yesterday at the Web Summit in Lisbon, I looked at how far Alexa has come and where we’re heading next.Read More