AWS Machine Learning Blog

NOVEMBER 8, 2023

AWS and NVIDIA have come together to make this vision a reality. AWS, NVIDIA, and other partners build applications and solutions to make healthcare more accessible, affordable, and efficient by accelerating cloud connectivity of enterprise imaging. AHI provides API access to ImageSet metadata and ImageFrames.

AWS 89

AWS AI AI ML 89

AWS Machine Learning Blog

MAY 10, 2023

In this post, we focus on how you can take advantage of the AWS Graviton3 -based Amazon Elastic Compute Cloud (EC2) C7g instances to help reduce inference costs by up to 50% relative to comparable EC2 instances for real-time inference on Amazon SageMaker. 4xlarge (AWS Graviton3) is about 50% of the c5.4xlarge and 40% of c6i.4xlarge;

AWS 75

AWS ML ML Machine Learning 75

Flipboard

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. In this post, we look at how we can use AWS Glue and the AWS Lake Formation ML transform FindMatches to harmonize (deduplicate) customer data coming from different sources to get a complete customer profile to be able to provide better customer experience.

AWS 92

AWS ML ML ETL 92

Smart Data Collective

FEBRUARY 20, 2022

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

AWS 114

AWS Cloud Computing Data Lakes Database 114

AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. Recommendation model using NCF NCF is an algorithm based on a paper presented at the International World Wide Web Conference in 2017.

AWS 88

AWS ML ML Deep Learning 88

Flipboard

MARCH 7, 2023

This post presents a solution that uses a workflow and AWS AI and machine learning (ML) services to provide actionable insights based on those transcripts. We use multiple AWS AI/ML services, such as Contact Lens for Amazon Connect and Amazon SageMaker , and utilize a combined architecture.

AWS 95

AWS ML ML AI 95

AWS Machine Learning Blog

JANUARY 13, 2023

In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. We have developed an FL framework on AWS that enables analyzing distributed and sensitive health data in a privacy-preserving manner. In this post, we showed how you can deploy the open-source FedML framework on AWS.

AWS 70

AWS Analytics Analytics Machine Learning 70

AWS Machine Learning Blog

JUNE 22, 2023

Working with AWS, Light & Wonder recently developed an industry-first secure solution, Light & Wonder Connect (LnW Connect), to stream telemetry and machine health data from roughly half a million electronic gaming machines distributed across its casino customer base globally when LnW Connect reaches its full potential.

AWS 78

AWS ML ML Machine Learning 78

AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose a federated learning (FL) framework, based on open-source FedML on AWS, which enables analyzing sensitive HCLS data. It involves training a global machine learning (ML) model from distributed health data held locally at different sites. Request a VPC peering connection.

AWS 68

AWS Analytics Analytics Machine Learning 68

Dataconomy

APRIL 16, 2024

These chips will be implemented across Meta’s data centers to support AI applications, notably enhancing deep learning recommendation systems that boost user engagement on its platforms. Meta asserts that by managing both the hardware and software components, it can outperform standard commercial GPUs in terms of efficiency. .”

Deep Learning 113

Deep Learning Deep Learning AWS AI 113

AWS Machine Learning Blog

JUNE 5, 2023

Data is the foundation for machine learning (ML) algorithms. Canvas provides connectors to AWS data sources such as Amazon Simple Storage Service (Amazon S3), Athena, and Amazon Redshift. In this post, we describe how to query Parquet files with Athena using AWS Lake Formation and use the output Canvas to train a model.

Machine Learning 71

Machine Learning Machine Learning AWS Data Lakes 71

AWS Machine Learning Blog

MAY 2, 2024

Amazon Personalize makes it straightforward to personalize your website, app, emails, and more, using the same machine learning (ML) technology used by Amazon, without requiring ML expertise. For Recipe , choose the new aws-user-personalization-v2 recipe. Rishabh Agrawal is a Senior Software Engineer working on AI services at AWS.

AWS 86

AWS Machine Learning Machine Learning ML 86

AWS Machine Learning Blog

OCTOBER 23, 2023

The performance of Talent.com’s matching algorithm is paramount to the success of the business and a key contributor to their users’ experience. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com.

AWS 83

AWS Deep Learning Deep Learning Machine Learning 83

AWS Machine Learning Blog

MAY 30, 2023

In 2021, we launched AWS Support Proactive Services as part of the AWS Enterprise Support plan. Since its introduction, we’ve helped hundreds of customers optimize their workloads, set guardrails, and improve the visibility of their machine learning (ML) workloads’ cost and usage.

AWS 66

AWS Deep Learning Deep Learning ML 66

AWS Machine Learning Blog

FEBRUARY 12, 2024

The Ranking team at Booking.com plays a pivotal role in ensuring that the search and recommendation algorithms are optimized to deliver the best results for their users. One of the several challenges faced was adapting the existing on-premises pipeline solution for use on AWS.

ML 103

ML ML AWS Machine Learning 103

AWS Machine Learning Blog

NOVEMBER 21, 2023

Amazon SageMaker provides an end-to-end set of services that allow Amazon Music to build, train, and deploy on the AWS Cloud with minimal effort. By taking care of the undifferentiated heavy lifting, SageMaker allows you to focus on working on your machine learning (ML) models, and not worry about things such as infrastructure.

ML 77

ML ML Deep Learning Deep Learning 77

AWS Machine Learning Blog

JANUARY 31, 2024

This technique is achieved through the use of ML algorithms that enable the understanding of the meaning and context of data (semantic relationships) and the learning of complex relationships and patterns within the data (syntactic relationships). You can use it via either the Amazon Bedrock REST API or the AWS SDK.

Natural Language Processing 104

Natural Language Processing AWS Machine Learning Machine Learning 104

AWS Machine Learning Blog

NOVEMBER 20, 2023

KT used AWS and Amazon SageMaker to train this AI Food Tag model 29 times faster than before and optimize it for production deployment with a model distillation technique. To accelerate training and generate a student model in less time, KT partnered with AWS. Together, the teams significantly reduced model training time.

AWS 85

AWS Deep Learning Deep Learning ML 85

AWS Machine Learning Blog

MARCH 20, 2023

In the context of deep learning, the predominant numerical format used for research and deployment has so far been 32-bit floating point, or FP32. However, the need for reduced bandwidth and compute requirements of deep learning models has driven research into using lower-precision numerical formats.

Deep Learning 76

Deep Learning Deep Learning AWS ML 76

AWS Machine Learning Blog

APRIL 4, 2024

We do this using dedicated algorithms and models developed by us for analyzing the specific characteristics of the channels. We also discovered inefficient pipeline runs and scheduling algorithms for the models. In his spare time, Eitan enjoys jogging and reading the latest machine learning articles.

AWS 71

AWS Machine Learning Machine Learning ML 71

AWS Machine Learning Blog

FEBRUARY 13, 2024

The BigBasket team was running open source, in-house ML algorithms for computer vision object recognition to power AI-enabled checkout at their Fresho (physical) stores. Model training was accelerated by 50% through the use of the SMDDP library, which includes optimized communication algorithms designed specifically for AWS infrastructure.

AWS 94

AWS AI AI ML 94

AWS Machine Learning Blog

NOVEMBER 16, 2023

This is a joint blog with AWS and Philips. Since 2014, the company has been offering customers its Philips HealthSuite Platform, which orchestrates dozens of AWS services that healthcare and life sciences companies use to improve patient care.

AWS 83

AWS ML ML AI 83

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker makes it straightforward to deploy machine learning (ML) models for real-time inference and offers a broad selection of ML instances spanning CPUs and accelerators such as AWS Inferentia. The endpoint uniformly distributes incoming requests to ML instances using a round-robin algorithm.

Machine Learning 83

Machine Learning Machine Learning AWS ML 83

Dataconomy

FEBRUARY 6, 2024

This popularity is primarily due to the spread of big data and advancements in algorithms. Going back from the times when AI was merely associated with futuristic visions to today’s reality, where ML algorithms seamlessly navigate our daily lives. These technologies have undergone a profound evolution. billion by 2032.

ML 121

ML ML AI AI 121

AWS Machine Learning Blog

APRIL 18, 2023

MLSL’s high caliber talent, culture, and focus on aiding our realization of measurable and compelling results from machine learning investments enabled us to reduce suicide risk, improve career transition, and speed up important connections for our service members, veterans, and their families.” Applied AI Specialist Architect at AWS.

AWS 69

AWS Machine Learning Machine Learning ML 69

Flipboard

FEBRUARY 7, 2023

The second notebook shows how the expert annotations that are available for hundreds of studies on TCIA can be downloaded as DICOM SEG and RTSTRUCT objects, visualized in 3D or as overlays on 2D slices, and used for training and evaluation of deep learning systems. Gang Fu is a Healthcare Solution Architect at AWS.

AWS 97

AWS ML ML Deep Learning 97

AWS Machine Learning Blog

FEBRUARY 19, 2024

DJL Serving is built on top of DJL , a deep learning library written in the Java programming language. It can take a deep learning model, several models, or workflows and make them available through an HTTP endpoint. This newly launched feature is available in all AWS Regions where SageMaker is available.

ML 88

ML ML AWS Deep Learning 88

AWS Machine Learning Blog

FEBRUARY 22, 2023

Boomi’s machine learning (ML)-powered solution facilitates the rapid development of integrations on their platform, and enables faster time to market for their customers. However, the underlying algorithm for Step Suggest is complicated and proprietary. Boomi had significant success with their application of Markov chains.

AWS 68

AWS ML ML Data Science 68

AWS Machine Learning Blog

AUGUST 3, 2023

Computer vision (CV) is one of the most common applications of machine learning (ML) and deep learning. We demonstrate how you can combine well-known ML solutions with postprocessing to address this problem on the AWS Cloud. We use deep learning models to solve this problem.

AWS 62

AWS ML ML Data Scientist 62

ODSC - Open Data Science

FEBRUARY 17, 2023

Developing NLP tools isn’t so straightforward, and requires a lot of background knowledge in machine & deep learning, among others. Machine & Deep Learning Machine learning is the fundamental data science skillset, and deep learning is the foundation for NLP.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

AWS Machine Learning Blog

JUNE 5, 2023

Today, as part of Amazon Web Services’ partnership with Hugging Face, we are excited to announce the release of a new Hugging Face Deep Learning Container (DLC) for inference with Large Language Models (LLMs). Such watermarked responses can be easily detected by algorithms, promoting the responsible use of Generative AI.

Deep Learning 73

Deep Learning Deep Learning AWS ML 73

AWS Machine Learning Blog

JANUARY 31, 2024

In the first part of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Specifically, the JPEG algorithm operates on an 8×8 pixel grid. CPU or GPU Optimized.

AWS 85

AWS Deep Learning Deep Learning Algorithm 85

AWS Machine Learning Blog

SEPTEMBER 6, 2023

This feature is particularly beneficial for deep learning and generative AI models that require accelerated compute. The cost savings achieved through resource sharing and simplified model management makes SageMaker MMEs an excellent choice for you to host models at scale on AWS.

AI 94

AI AI AWS ML 94

AWS Machine Learning Blog

MAY 30, 2023

Cost optimization is one of the pillars of the AWS Well-Architected Framework , and it’s a continual process of refinement and improvement over the span of a workload’s lifecycle. AWS is dedicated to helping you achieve the highest savings by offering extensive service and pricing options.

AWS 63

AWS ML ML Machine Learning 63

AWS Machine Learning Blog

MARCH 6, 2023

These factors require training an LLM over large clusters of accelerated machine learning (ML) instances. In the past few years, numerous customers have been using the AWS Cloud for LLM training. We recommend working with your AWS account team or contacting AWS Sales to determine the appropriate Region for your LLM workload.

AWS 75

AWS Clustering ML ML 75

AWS Machine Learning Blog

DECEMBER 22, 2023

The SMP configuration is as follows: { "hybrid_shard_degree": 16 } To learn more about the advantages of hybrid sharded data parallelism, refer to Near-linear scaling of gigantic-model training on AWS. SMP v2 offers an optimized activation offloading algorithm that can improve training performance.

Clustering 93

Clustering AWS Deep Learning Deep Learning 93

AWS Machine Learning Blog

NOVEMBER 30, 2023

Amazon SageMaker Canvas is a no-code workspace that enables analysts and citizen data scientists to generate accurate machine learning (ML) predictions for their business needs. You can also view the entire model building workflow, including suggested preprocessing steps, algorithms, and hyperparameter ranges in a notebook.

Machine Learning 83

Machine Learning Machine Learning Algorithm Citizen Data Scientist 83