Depth information is essential to many robotic applications, e.g., localization, mapping, and obstacle detection. But existing depth acquisition devices, ...

In June 2022, Amazon re:MARS, the company’s in-person event that explores advancements and practical applications within machine learning, automation, ...

Amazon’s Supply Chain Optimization Technologies (SCOT) organization recently announced the 15 recipients of the SCOT/INFORMS Scholarships (formerly known as ...

To become a foundational player in the creation of a potentially world-changing technology requires the happy conjunction of talent and timing. Both can be ...

Vision-language models, which map images and text to a common representational space, have demonstrated remarkable performance on a wide range of multimodal ...

James Robins, the Mitchell L. and Robin LaFoley Dong Professor of Epidemiology at Harvard University who consults with Amazon’s Core AI team, along with ...

Generative adversarial networks (GANs) are a technology that can produce remarkably realistic synthetic images. From a set of real images, a GAN learns a ...

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas ...

A. There are different ways to achieve the self-adjustment. With any system, you have a bunch of knobs and a bunch of design choices. If you take Redshift, ...

Amazon principal applied scientist Jens Lehmann and three coauthors recently received the Semantic Web journal 10-year award for their paper “LinkedGeoData: ...

In recent years, algorithmic bias has become a central topic of research across AI disciplines. Interest in the topic ballooned after a 2018 investigation ...

Watching Iron Man as a college student in his hometown of Tijuana, Mexico, Carlos Huertas was struck by one character in particular: J.A.R.V.I.S., the ...