When a customer clicks on a product on a list of product search results, it means that this item is better than those not clicked. “Learning how to rank” Models utilize such implicit feedback to improve search results, compare clicks and remove results in either “pairs” (compare peers of results) or list (judge a result … Read more
In 2021 and 2022, when Amazon Science asked members of the Knowledge Discovery and Data Mining Conference (KDD) program committees to discuss the state of their field, the conversations turned the Surrafen Neural Networks. Yizhou Sun, Associate Professor of Computer Science at the University of California, Los Angeles; An Amazon -Learn; and General Flesh of … Read more
Rahul Urgaonkar Winner IEEE COMMUNICATIONS SOCIETY WILLIAM R. BENNETT PRIZE Rahul Urgaonkar, a senior application scientist with Amazon advertising, and his co -authors Kevin Spiteri and Ramesh K. Sitaraman, were selected for the IEEE COMMUNICATIONS SOCIETY WILLIAM R. BENNETT -award earlier this year. The authors were honored for the 2020 paper, “Bola: near optimal bitrate … Read more
The first draft of this blog post was generated by Amazon Nova ProBased on detailed instructions from Amazon Science editors and several examples of previous submissions. In a paper we present at the 2025 conference on computer vision and pattern recognition (CVPR), we introduce a new approach to image segmentation that scrosal different data and … Read more
Lowed Language Models (PLMS) such as Bert, Roberta and Deberta, when fine -tuned on task -specific data, have shown unique performance across another orge of natural language tasks, including the natural language inference, school classification and questions about questions. PLMs typically included in matrix for token injles, a deeply neural network with an attention mechanism … Read more
When you ask Alexa have a question – say to buy more peanut butter – you probably have a specific idea in mind. As if playing a game of 20 questions, Alexa is trying to meet your request in as few turns as possible and pinpoining the context and specific. Last summer, as an intern … Read more
How many peirs of glasses do you own? If you need vision correction, you may have accumulated a few. There is your everyday couple, a handful of cheap readers, the old couple you just keep around in case of … and the next you need when your prescription changes. Start -up IXI wants to bring … Read more
Everyone had the experience of pausing in the middle of a conversation and trying to conjure up a forgotten word. These breaks can be so pronounced that today’s voice assistants fail them at the ends of users’ sentences. When this happens, the whole swing has been repeated. This is frustrating for all users, but some … Read more
Amazon’s papers on IntereSpech 2023, sorted by research topic. Automatic speech recognition In the metric driven approach to compliance layer pruning for effective ASR inferenceDhanush Bekal, Karthik Gopalakrishnan, Karel Mundnich, Srikanth Ronanki, Sravan Bodapati, Katrin Kirchhof Conmer: Streaming observance without self -tension for interactive voice assistantsMartin Radfar, Paulina Lyskawa, Brandon Trujillo, Yi Xie, Kai Zhen, … Read more
Building quality software tends to follow a well -known routine for most developers. You type code on your computer with an integrated development environment (idea), and to check for any security errors, upload it to a central restitor and run a security scan. The results appear on dashboard in your web browser, separate from idea. … Read more