AWS Machine Learning Blog

Category: Customer Enablement

Label text for aspect-based sentiment analysis using SageMaker Ground Truth

This blog post was last reviewed and updated August, 2022 with revised sample document links. The HAQM Machine Learning Solutions Lab (MLSL) recently created a tool for annotating text with named-entity recognition (NER) and relationship labels using HAQM SageMaker Ground Truth. Annotators use this tool to label text with named entities and link their relationships, thereby […]

Industrial automation at Tyson with computer vision, AWS Panorama, and HAQM SageMaker

This is the first in a two-part blog series on how Tyson Foods, Inc., is utilizing machine learning to automate industrial processes at their meat packing plants by bringing the benefits of artificial intelligence applications at the edge. In part one, we discuss an inventory counting application for packaging lines built using HAQM SageMaker and […]

Train graph neural nets for millions of proteins on HAQM SageMaker and HAQM DocumentDB (with MongoDB compatibility)

There are over 180,000 unique proteins with 3D structures determined, with tens of thousands new structures resolved every year. This is only a small fraction of the 200 million known proteins with distinctive sequences. Recent deep learning algorithms such as AlphaFold can accurately predict 3D structures of proteins using their sequences, which help scale the […]

AWS Deep Learning AMIs: New framework-specific DLAMIs for production complement the original multi-framework DLAMIs

Since its launch in November 2017, the AWS Deep Learning HAQM Machine Image (DLAMI) has been the preferred method for running deep learning frameworks on HAQM Elastic Compute Cloud (HAQM EC2). For deep learning practitioners and learners who want to accelerate deep learning in the cloud, the DLAMI comes pre-installed with AWS-optimized deep learning (DL) frameworks […]

Clinical text mining using the HAQM Comprehend Medical new SNOMED CT API

Mining medical concepts from written clinical text, such as patient encounters, plays an important role in clinical analytics and decision-making applications, such as population analytics for providers, pre-authorization for payers, and adverse-event detection for pharma companies. Medical concepts contain medical conditions, medications, procedures, and other clinical events. Extracting medical concepts is a complicated process due […]

How Careem is detecting identity fraud using graph-based deep learning and HAQM Neptune

This post was co-written with Kevin O’Brien, Senior Data Scientist in Careem’s Integrity Team. Dubai-based Careem became the Middle East’s first unicorn when it was acquired by Uber for $3.1 billion in 2019. A pioneer of the region’s ride-hailing economy, Careem is now expanding its services to include mass transportation, delivery, and payments as an […]

Next Gen Stats Decision Guide: Predicting fourth-down conversion

It is fourth-and-one on the Texans’ 36-yard line with 3:21 remaining on the clock in a tie game. Should the Colts’ head coach Frank Reich send out kicker Rodrigo Blankenship to attempt a 54-yard field goal or rely on his offense to convert a first down? Frank chose to go for it, leading to a […]

Bushfire mitigation through Machine Learning with AusNet and AWS

Eastern Australia is among the most fire-prone regions in the world. Although bushfires are a regular occurrence in Australia, the 2019–2020 bushfire crisis set ablaze over 17 million hectares of land (larger than the size of England), costing the Australian economy more than $100 billion between property, infrastructure, social, and environmental costs. With increasingly extreme […]

Use AutoGluon-Tabular in AWS Marketplace

AutoGluon-Tabular is an open-source AutoML framework that requires only a single line of Python to train highly accurate machine learning (ML) models on an unprocessed tabular dataset. In this post, we walk you through a way of using AutoGluon-Tabular as a code-free AWS Marketplace product. We use this process to train and deploy a highly […]

Process and add additional file formats to your HAQM Kendra Index

If you have a corpus of internal documents that you frequently search through, HAQM Kendra can help you find your content faster and easier. These documents can be in different locations and repositories, and can be structured or unstructured. HAQM Kendra is a fully managed service backed by machine learning (ML). You don’t need to […]