Hirschberg explains why mastering empathetic speech is critical for successful dialogue systems.Read More
Amazon paper exposes biases in unreliable-news datasets
The paper, which received honorable mention at EACL, presents guidelines for better analysis and construction of datasets.Read More
How AWS contributes to an earthquake safety system for the US West Coast
With the help of new machine learning techniques, a team at Caltech is upgrading their system to help scientists identify more earthquakes — and understand why they happen.Read More
USC + Amazon Center on Secure and Trusted Machine Learning selects initial research projects
Innovative faculty proposals will explore various aspects of trustworthy machine learning.Read More
Searching video using natural-language descriptions
New method uses cross-attention and multitask training to improve the accuracy and training efficiency of video moment retrieval.Read More
Third Conference on Truth and Trust Online open for submissions
The conference’s mission is to bring together stakeholders working toward improving the truthfulness and trustworthiness of online communications.Read More
Amazon at SIGIR: Toward more-inclusive AI
Amazon Visiting Academic Barbara Poblete helps to build safer, more-diverse online communities — and to aid disaster response.Read More
Amazon scientist lectures at a specialized AI summer school
James Hensman joins an effort to expand machine learning talent for UN sustainability goals.Read More
Schooling robots to behave like fish
Radhika Nagpal has created robots that can build towers without anyone in charge. Now she’s turned her focus to fulfillment center robots.Read More
Controlling language generation models without training data
Giving a neural generation model “control knobs” enables modulation of the content of generated language.Read More