Automatically generate impressions from findings in radiology reports using generative AI on AWS

Favorite Radiology reports are comprehensive, lengthy documents that describe and interpret the results of a radiological imaging examination. In a typical workflow, the radiologist supervises, reads, and interprets the images, and then concisely summarizes the key findings. The summarization (or impression) is the most important part of the report because

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Shared by AWS Machine Learning August 30, 2023

Modeling and improving text stability in live captions

Favorite Posted by Vikas Bahirwani, Research Scientist, and Susan Xu, Software Engineer, Google Augmented Reality Automatic speech recognition (ASR) technology has made conversations more accessible with live captions in remote conferencing software, mobile applications, and head-worn displays. However, to maintain real-time responsiveness, live caption systems often display interim predictions that

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Shared by Google AI Technology August 30, 2023

7 ways businesses are using Google Cloud AI

Favorite At Google Cloud Next 2023, thousands of people gathered in San Francisco to learn about the newest updates from Google Cloud. View Original Source (blog.google/technology/ai/) Here.

SayTap: Language to quadrupedal locomotion

Favorite Posted by Yujin Tang and Wenhao Yu, Research Scientists, Google Simple and effective interaction between human and quadrupedal robots paves the way towards creating intelligent and capable helper robots, forging a future where technology enhances our lives in ways beyond our imagination. Key to such human-robot interaction systems is

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Shared by Google AI Technology August 29, 2023

MLOps for batch inference with model monitoring and retraining using Amazon SageMaker, HashiCorp Terraform, and GitLab CI/CD

Favorite Maintaining machine learning (ML) workflows in production is a challenging task because it requires creating continuous integration and continuous delivery (CI/CD) pipelines for ML code and models, model versioning, monitoring for data and concept drift, model retraining, and a manual approval process to ensure new versions of the model

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Shared by AWS Machine Learning August 29, 2023

RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers

Favorite Posted by Dahun Kim and Weicheng Kuo, Research Scientists, Google The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. However, modern object detectors are limited by the manual annotations of their

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Shared by Google AI Technology August 28, 2023

Announcing the Preview of Amazon SageMaker Profiler: Track and visualize detailed hardware performance data for your model training workloads

Favorite Today, we’re pleased to announce the preview of Amazon SageMaker Profiler, a capability of Amazon SageMaker that provides a detailed view into the AWS compute resources provisioned during training deep learning models on SageMaker. With SageMaker Profiler, you can track all activities on CPUs and GPUs, such as CPU

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Shared by AWS Machine Learning August 25, 2023