Our most popular blog posts of 2020
Take a deep dive into the scientific innovation that is essential to being the most customer-centric company in the world.
- How Alexa knows when you’re talking to her
Leveraging semantic content improves performance of acoustic-only model for detecting device-directed speech.
- The science behind Echo Show 10
A combination of audio and visual signals guide the device’s movement, so the screen is always in view.
- How to compute the optimal way to package Amazon products
New statistical model reduces shipment damage by 24% while cutting shipping costs by 5%.
- Shipra Agrawal on the appeal of reinforcement learning
This Amazon Scholar’s work spans two of the most popular topics at the most popular AI conference: reinforcement learning and bandit problems.
- How computer vision will help Amazon customers shop online
Three papers at CVPR presented complementary methods to improve product discovery.
- Amazon EBS addresses the challenge of the CAP Theorem at scale
Optimizing placement of configuration data ensures that it’s available and consistent during “network partitions”.
- How Alexa's new Live Translation for conversations works
Parallel speech recognizers, language ID, and translation models geared to conversational speech are among the modifications that make Live Translation possible.
- SIGIR: How information retrieval and natural-language processing overcame their rivalry
Alexa principal scientist Alessandro Moschitti describes the changes that have swept both fields in the 20 years since he first attended the conference.
- Amazon Scholar John Preskill on the AWS quantum computing effort
The noted physicist answers three questions about the challenges of quantum computing and why he’s excited to be part of a technology development project.
- Teaching computers to recognize humor
Detecting comic product-related questions could improve customer engagement and Amazon recommendations.