Artificial Intelligence
Category: Advanced (300)
Connect Amazon EMR and RStudio on Amazon SageMaker
RStudio on Amazon SageMaker is the industry’s first fully managed RStudio Workbench integrated development environment (IDE) in the cloud. You can quickly launch the familiar RStudio IDE and dial up and down the underlying compute resources without interrupting your work, making it easy to build machine learning (ML) and analytics solutions in R at scale. […]
Secure your Amazon Kendra indexes with the ACL using a JWT shared secret key
Globally, many organizations have critical business data dispersed among various content repositories, making it difficult to access this information in a streamlined and cohesive manner. Creating a unified and secure search experience is a significant challenge for organizations because each repository contains a wide range of document formats and access control mechanisms. Amazon Kendra is […]
Secure Amazon SageMaker Studio presigned URLs Part 3: Multi-account private API access to Studio
Enterprise customers have multiple lines of businesses (LOBs) and groups and teams within them. These customers need to balance governance, security, and compliance against the need for machine learning (ML) teams to quickly access their data science environments in a secure manner. These enterprise customers that are starting to adopt AWS, expanding their footprint on […]
Deploy large language models on AWS Inferentia2 using large model inference containers
You don’t have to be an expert in machine learning (ML) to appreciate the value of large language models (LLMs). Better search results, image recognition for the visually impaired, creating novel designs from text, and intelligent chatbots are just some examples of how these models are facilitating various applications and tasks. ML practitioners keep improving […]
Deploy pre-trained models on AWS Wavelength with 5G edge using Amazon SageMaker JumpStart
With the advent of high-speed 5G mobile networks, enterprises are more easily positioned than ever with the opportunity to harness the convergence of telecommunications networks and the cloud. As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers […]
Implement unified text and image search with a CLIP model using Amazon SageMaker and Amazon OpenSearch Service
The rise of text and semantic search engines has made ecommerce and retail businesses search easier for its consumers. Search engines powered by unified text and image can provide extra flexibility in search solutions. You can use both text and images as queries. For example, you have a folder of hundreds of family pictures in […]
Snapper provides machine learning-assisted labeling for pixel-perfect image object detection
Bounding box annotation is a time-consuming and tedious task that requires annotators to create annotations that tightly fit an object’s boundaries. Bounding box annotation tasks, for example, require annotators to ensure that all edges of an annotated object are enclosed in the annotation. In practice, creating annotations that are precise and well-aligned to object edges […]
Recommend top trending items to your users using the new Amazon Personalize recipe
Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. It enables you to improve customer engagement by […]
Enable fully homomorphic encryption with Amazon SageMaker endpoints for secure, real-time inferencing
This is joint post co-written by Leidos and AWS. Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. Leidos has partnered with AWS to develop an approach to privacy-preserving, confidential machine learning (ML) modeling where […]
Build a machine learning model to predict student performance using Amazon SageMaker Canvas
There has been a paradigm change in the mindshare of education customers who are now willing to explore new technologies and analytics. Universities and other higher learning institutions have collected massive amounts of data over the years, and now they are exploring options to use that data for deeper insights and better educational outcomes. You […]








