Generative Data Intelligence

Tag: Architectures

Build high performing image classification models using Amazon SageMaker JumpStart

Image classification is a computer vision-based machine learning (ML) technique that allows you to classify images. Some well-known examples of image classification include classifying...

News – Quantum Computing Report

Recent news items published within the last 6 months on quantum computing developments are listed below. Click on the hyperlinked item to go to...

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...

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...

Definitive Guide to the Random Forest Algorithm with Python and Scikit-Learn

IntroductionThe Random Forest algorithm is one of the most flexible, powerful and widely-used algorithms for classification and regression, built as an ensemble of Decision...

How Amazon Search achieves low-latency, high-throughput T5 inference with NVIDIA Triton on AWS

Amazon Search’s vision is to enable customers to search effortlessly. Our spelling correction helps you find what you want even if you don’t know the exact spelling of the intended words. In the past, we used classical machine learning (ML) algorithms with manual feature engineering for spelling correction. To make the next generational leap in […]

Amazon SageMaker JumpStart models and algorithms now available via API

In December 2020, AWS announced the general availability of Amazon SageMaker JumpStart, a capability of Amazon SageMaker that helps you quickly and easily get started with machine learning (ML). JumpStart provides one-click fine-tuning and deployment of a wide variety of pre-trained models across popular ML tasks, as well as a selection of end-to-end solutions that […]

The huge carbon footprint of large-scale computing

Physicists working on large-scale experiments may have to consider the significant environmental impact of the computer power they require. Michael Allen investigates

The post The huge carbon footprint of large-scale computing appeared first on Physics World.

Automate email responses using Amazon Comprehend custom classification and entity detection

In this post, we demonstrate how to create an automated email response solution using Amazon Comprehend. Organizations spend lots of resources, effort, and money on running their customer care operations to answer customer questions and provide solutions. Your customers may ask questions via various channels, such as email, chat, or phone, and deploying a workforce […]

Load and transform data from Delta Lake using Amazon SageMaker Studio and Apache Spark

Data lakes have become the norm in the industry for storing critical business data. The primary rationale for a data lake is to land all types of data, from raw data to preprocessed and postprocessed data, and may include both structured and unstructured data formats. Having a centralized data store for all types of data […]

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