Build repeatable, secure, and extensible end-to-end machine learning workflows using Kubeflow on AWS

Favorite This is a guest blog post cowritten with athenahealth. athenahealth a leading provider of network-enabled software and services for medical groups and health systems nationwide. Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its

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Shared by AWS Machine Learning September 10, 2022

Tips to improve your Amazon Rekognition Custom Labels model

Favorite In this post, we discuss best practices to improve the performance of your computer vision models using Amazon Rekognition Custom Labels. Rekognition Custom Labels is a fully managed service to build custom computer vision models for image classification and object detection use cases. Rekognition Custom Labels builds off of the

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Shared by AWS Machine Learning September 10, 2022

Deploy large models on Amazon SageMaker using DJLServing and DeepSpeed model parallel inference

Favorite The last few years have seen rapid development in the field of natural language processing (NLP). Although hardware has improved, such as with the latest generation of accelerators from NVIDIA and Amazon, advanced machine learning (ML) practitioners still regularly encounter issues deploying their large language models. Today, we announce

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Shared by AWS Machine Learning September 10, 2022

Learning to Walk in the Wild from Terrain Semantics

Favorite Posted by Yuxiang Yang, Student Researcher, Robotics at Google An important promise for quadrupedal robots is their potential to operate in complex outdoor environments that are difficult or inaccessible for humans. Whether it’s to find natural resources deep in the mountains, or to search for life signals in heavily-damaged

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Shared by Google AI Technology September 9, 2022

A Multi-Axis Approach for Vision Transformer and MLP Models

Favorite Posted by Zhengzhong Tu and Yinxiao Li, Software Engineers, Google Research Convolutional neural networks have been the dominant machine learning architecture for computer vision since the introduction of AlexNet in 2012. Recently, inspired by the evolution of Transformers in natural language processing, attention mechanisms have been prominently incorporated into

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Shared by Google AI Technology September 8, 2022

Improve transcription accuracy of customer-agent calls with custom vocabulary in Amazon Transcribe

Favorite Many AWS customers have been successfully using Amazon Transcribe to accurately, efficiently, and automatically convert their customer audio conversations to text, and extract actionable insights from them. These insights can help you continuously enhance the processes and products that directly improve the quality and experience for your customers. In

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Shared by AWS Machine Learning September 8, 2022