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Rad AI reduces real-time inference latency by 50% using Amazon SageMaker

AWS Machine Learning Blog

This post is co-written with Ken Kao and Hasan Ali Demirci from Rad AI. Rad AI has reshaped radiology reporting, developing solutions that streamline the most tedious and repetitive tasks, and saving radiologists’ time. In this post, we share how Rad AI reduced real-time inference latency by 50% using Amazon SageMaker.

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Accelerate disaster response with computer vision for satellite imagery using Amazon SageMaker and Amazon Augmented AI

AWS Machine Learning Blog

This dataset consists of human and machine annotated airborne images collected by the Civil Air Patrol in support of various disaster responses from 2015-2019. In this post, we describe our design and implementation of the solution, best practices, and the key components of the system architecture. Sandeep Verma is a Sr.

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Reduce call hold time and improve customer experience with self-service virtual agents using Amazon Connect and Amazon Lex

AWS Machine Learning Blog

The key to making this approach practical is to augment human agents with scalable, AI-powered virtual agents that can address callers’ needs for at least some of the incoming calls. Also, the introduction of federal REAL ID requirements in 2019 resulted in increased call volumes from drivers with questions.

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Who Said What? Recorder's On-device Solution for Labeling Speakers

Google Research AI blog

Posted by Quan Wang, Senior Staff Software Engineer, and Fan Zhang, Staff Software Engineer, Google In 2019 we launched Recorder , an audio recording app for Pixel phones that helps users create, manage, and edit audio recordings. Left : Recorder transcript without speaker labels. Right : Recorder transcript with speaker labels.