Posts in category: Amazon AWS

AutoGluon democratizes machine learning, and makes the power of deep learning available to all developers.Read More

Training a product discovery system on many languages at once improves performance in all of them.Read More

Pat Bajari, VP and chief economist for Amazon’s Core AI group, on his team’s new research and what it says about economists’ role at Amazon.Read More

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