In tests, a new way to allocate virtual machines across servers outperforms baselines by 10%.Read More
Alexa & Friends features Spyros Matsoukas, senior principal applied scientist, Alexa AI
Matsoukas discusses his focus on automatic speech recognition, natural understanding, and dialogue management, as well as how those research domains are making Alexa more intelligent and useful.Read More
Amazon Web Services to hold Machine Learning Summit
Virtual event on June 2 will include science track.Read More
Automatically generating text from structured data
Technique that lets devices convey information in natural language improves on state of the art.Read More
AWS scientist wins ICLR outstanding paper award
Ability to balance parameter size and effectiveness could be “extremely useful” in reducing parameter size of deep-learning models.Read More
Amazon’s robot arms break ground in safety and technology
While these systems look like other robot arms, they embed advanced technologies that will shape Amazon’s robot fleet for years to come.Read More
iNaturalist opens up a wealth of nature data — and computer vision challenges
Amazon Machine Learning Research Award recipient utilizes a combination of people and machine learning models to illuminate the planet’s incredible biodiversity.Read More
The science behind SageMaker’s cost-saving Debugger
New tool can spot problems — such as overfitting and vanishing gradients — that prevent machine learning models from learning.Read More
How a paper by three Oxford academics influenced AWS bias and explainability software
Why conditional demographic disparity matters for developers using SageMaker Clarify.Read More
Alexa: The science must go on
Throughout the pandemic, the Alexa team has continued to invent on behalf of our customers.Read More