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AlexaTM 20B is now available in Amazon SageMaker JumpStart

Today, we announce the public availability of Amazon’s state-of-the-art Alexa Teacher Model with 20 billion parameters  (AlexaTM 20B) through Amazon SageMaker JumpStart, SageMaker’s machine...

How Yara is using MLOps features of Amazon SageMaker to scale energy optimization across their ammonia plants

Yara is the world’s leading crop nutrition company and a provider of environmental and agricultural solutions. Yara’s ambition is focused on growing a nature-positive...

Zero-Trust Initiatives Stall, as Cyberattack Costs Rocket to $1M per Incident

Organizations are struggling with mounting data losses, increased downtime, and rising recovery costs due to cyberattacks — to the tune of $1.06 million in costs...

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....

Terra’s $2.8B Defense System — Luna Foundation Guard Audit Says Group Spent More Than 80,000 Bitcoin Defending UST Peg – Bitcoin News

Months after the collapse of Terra’s U.S. dollar-pegged token UST, the group created to guard the once-stable coin, the Luna Foundation Guard (LFG), printed...

Build a cross-account MLOps workflow using the Amazon SageMaker model registry

A well-designed CI/CD pipeline is essential to scale any software development workflow effectively. When designing production CI/CD pipelines, AWS recommends leveraging multiple accounts to...

Malware detection and classification with Amazon Rekognition

According to an article by Cybersecurity Ventures, the damage caused by Ransomware (a type of malware that can block users from accessing their data...

Privacy-Protecting Regulatory Solutions Using Zero-Knowledge Proofs: Full Paper

November 16, 2022 Joseph Burleson, Michele Korver and Dan Boneh Editor’s note: Below is the full text of the paper “Privacy-Protecting Regulatory...

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...

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,...

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