Amazon’s goal for Alexa is that customers should find interacting with her as natural as interacting with another human being. Toward that end, in ...

At a virtual student event connected to the International Conference on Intelligent Robots and Systems (IROS), Amazon Robotics and the recently established ...

At this year’s Conference on Empirical Methods in Natural Language Processing (EMNLP), Julia Hirschberg, an Amazon Scholar and a professor of computer ...

As vice president of machine learning at Amazon India, Rajeev Rastogi is helping his team drive innovations that have a profound impact not only on shoppers ...

Question answering through reading comprehension is a popular task in natural-language processing. It’s a task many people know from standardized tests: a ...

More and more, interactions with Alexa involve multiturn dialogues, which Alexa uses to fill out the details of a request or coordinate multiple ...

Since being first announced in 2014, Alexa has continuously become more natural, knowledgeable, conversational, context-aware, and capable of self-learning. ...

Job Description ATE (Analytics, Technology and Engineering) is a multi-disciplinary team of ...

Question-answering systems frequently rely on knowledge graphs, large collections of facts about real-world entities (people, organizations, countries, ...

(Editor’s note: This article is the latest installment in a series by Amazon Science delving into the science behind products and services of companies in ...