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Large-scale feature engineering with sensitive data protection using AWS Glue interactive sessions and Amazon SageMaker Studio

Organizations are using machine learning (ML) and AI services to enhance customer experience, reduce operational cost, and unlock new possibilities to improve business outcomes....

Enabling hybrid ML workflows on Amazon EKS and Amazon SageMaker with one-click Kubeflow on AWS deployment

Today, many AWS customers are building enterprise-ready machine learning (ML) platforms on Amazon Elastic Kubernetes Service (Amazon EKS) using Kubeflow on AWS (an AWS-specific...

Detect multicollinearity, target leakage, and feature correlation with Amazon SageMaker Data Wrangler

In machine learning (ML), data quality has direct impact on model quality. This is why data scientists and data engineers spend significant amount of...

Run machine learning inference workloads on AWS Graviton-based instances with Amazon SageMaker

Today, we are launching Amazon SageMaker inference on AWS Graviton to enable you to take advantage of the price, performance, and efficiency benefits that...

Bitcoin in Hip-Hop: Rapping Warm in the Crypto Winter

Buy and sell Bitcoin the easy way Start your crypto portfolio today! ...

Proton therapy planning: how to minimize LET in organs-at-risk

Proton therapy can deliver highly conformal dose distributions to a tumour target while minimizing dose...

How Prodege saved $1.5 million in annual human review costs using low-code computer vision AI

This post was co-authored by Arun Gupta, the Director of Business Intelligence at Prodege, LLC. Prodege is a data-driven marketing and consumer insights...

Superconductors strengthen signals in scanning-tunnelling microscopy

The sensitivity of a scanning-tunnelling microscope improves by up to a factor of 50 when...

Brain tumor segmentation at scale using AWS Inferentia

Medical imaging is an important tool for the diagnosis and localization of disease. Over the past decade, collections of medical images have grown rapidly,...

Serve multiple models with Amazon SageMaker and Triton Inference Server

Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. It helps data scientists and developers prepare, build, train,...

Quantum microscopy sheds light on high-temperature superconductivity

Researchers have found quantitative evidence for a mechanism long predicted to be responsible for high-temperature...

ActiveNav Named to Three Additional Gartner Hype Cycles — Privacy…

We’re quite proud that ActiveNav’s exceptional technologies have earned a place in five of Gartner’s 2022 Hype Cycles. WASHINGTON (PRWEB) November...

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