Once in time, we could certainly draw on the information threads around us and weave them to useful knowledge because the higher quality threads tended to stand out. Today, when we sweep with an Information Tsunami, it can be difficult to know what to achieve, what information to trust. Amazon Scholar Heng Ji, professor of … Read more
Sales November 2024 Ten top university teams from all over the world have gathered in the initial Amazon Nova AI challenge: trusted AI tracks, focused on strengthening the security of AI cod assistants and developing new automated methods to ‘red-team’ and testing them. After months of intense competition, eight teams have moved on to the … Read more
In most of the last 10 years, Machine Learning (ML) was the heaviness of the concept embedding: An ML model would learn how to convert input data to vectors (embedders) so that geometric conditions within the vector room had semantic consequences. For example, words whose embeddies were close to each other in the representative space … Read more
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