AWS Machine Learning Blog

MAY 10, 2023

Project Jupyter is a multi-stakeholder, open-source project that builds applications, open standards, and tools for data science, machine learning (ML), and computational science. Given the importance of Jupyter to data scientists and ML developers, AWS is an active sponsor and contributor to Project Jupyter.

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AWS Machine Learning Blog

JANUARY 6, 2023

The recently published IDC MarketScape: Asia/Pacific (Excluding Japan) AI Life-Cycle Software Tools and Platforms 2022 Vendor Assessment positions AWS in the Leaders category. AWS met the criteria and was evaluated by IDC along with eight other vendors. AWS is positioned in the Leaders category based on current capabilities.

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AWS Machine Learning Blog

JULY 9, 2024

of its consolidated revenues during the years ended December 31, 2019, 2018 and 2017, respectively. Sonnet within 24 hours.” – Diana Mingels, Head of Machine Learning at Kensho. About the authors Qingwei Li is a Machine Learning Specialist at Amazon Web Services. The benchmark shows that Anthropic Claude 3.5

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AWS Machine Learning Blog

AUGUST 7, 2023

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. The solution lay in what’s known as transfer learning.

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IBM Journey to AI blog

JULY 19, 2023

The explosion in digital data—in combination with declining availability of skilled and willing human resources to ingest and process the digital data in a compliant manner—is forcing life sciences organizations to explore AI, machine learning and now generative AI technologies. Why IBM Consulting for generative AI on AWS?

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AWS Machine Learning Blog

FEBRUARY 6, 2024

To support overarching pharmacovigilance activities, our pharmaceutical customers want to use the power of machine learning (ML) to automate the adverse event detection from various data sources, such as social media feeds, phone calls, emails, and handwritten notes, and trigger appropriate actions.

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AWS Machine Learning Blog

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. Our CMS backend Nova is implemented using Amazon API Gateway and several AWS Lambda functions.

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Flipboard

NOVEMBER 24, 2023

In this post, we show you how SnapLogic , an AWS customer, used Amazon Bedrock to power their SnapGPT product through automated creation of these complex DSL artifacts from human language. SnapLogic background SnapLogic is an AWS customer on a mission to bring enterprise automation to the world.

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Dataconomy

SEPTEMBER 4, 2023

Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. Downtime, like the AWS outage in 2017 that affected several high-profile websites, can disrupt business operations.

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AWS Machine Learning Blog

MAY 16, 2024

In this post, we share how LotteON improved their recommendation service using Amazon SageMaker and machine learning operations (MLOps). The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway.

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Dataconomy

FEBRUARY 6, 2024

Artificial intelligence and machine learning are no longer the elements of science fiction; they’re the realities of today. According to Precedence Research , the global market size of machine learning will grow at a CAGR of a staggering 35% and reach around $771.38 billion by 2032. billion by 2032.

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AWS Machine Learning Blog

JUNE 8, 2023

LLMs are based on the Transformer architecture , a deep learning neural network introduced in June 2017 that can be trained on a massive corpus of unlabeled text. This enables you to begin machine learning (ML) quickly. It includes the FLAN-T5-XL model , an LLM deployed into a deep learning container.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

These activities cover disparate fields such as basic data processing, analytics, and machine learning (ML). Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. The AWS P5 EC2 instance type range is based on the NVIDIA H100 chip, which uses the Hopper architecture.

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Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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DataRobot Blog

OCTOBER 3, 2017

Finally, Clarity Insights created a joint solution on AWS CloudFormation templates allowing a point-and-click way to stand up a fully-functional data lake using Cloudera , Paxata , and Zoomdata optimized on Intel processors. Interactively explore, combine, and shape diverse datasets into data ready for machine learning and AI applications.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

Examples include: Cultivating distrust in the media Undermining the democratic process Spreading false or discredited science (for example, the anti-vax movement) Advances in artificial intelligence (AI) and machine learning (ML) have made developing tools for creating and sharing fake news even easier.

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Dataconomy

APRIL 26, 2023

Macrometa Founded in 2017, privately held Macrometa offers its Global Data Network and edge computing platform to help developers build real-time applications and APIs. Cradlepoint’s commitment to innovation and its ability to deliver cutting-edge wireless solutions has placed it among the most prominent edge computing companies.

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AWS Machine Learning Blog

MARCH 30, 2023

Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences to their users. Choose the new aws-trending-now recipe. For Solution version ID , choose the solution version that uses the aws-trending-now recipe. For Campaign name , enter a name.

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AWS Machine Learning Blog

MARCH 21, 2023

Amazon SageMaker geospatial capabilities —now generally available in the AWS Oregon Region—provide a new and much simpler solution to this problem. The notebooks and code with a deployment-ready implementation of the analyses shown in this post are available at the GitHub repository Guidance for Geospatial Insights for Sustainability on AWS.

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Towards AI

JULY 17, 2023

Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. Colab was first introduced in 2017 as a research project by Google.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. Advances in neural information processing systems 30 (2017).

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AWS Machine Learning Blog

AUGUST 16, 2023

Training machine learning (ML) models to interpret this data, however, is bottlenecked by costly and time-consuming human annotation efforts. One way to overcome this challenge is through self-supervised learning (SSL). parquet s3://bigearthnet-s2-dataset/metadata/ aws s3 cp BigEarthNet-v1.0/ tif" --include "_B03.tif"

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AWS Machine Learning Blog

MAY 5, 2023

This is a joint post co-written by AWS and Voxel51. For our example use case, we work with the Fashion200K dataset , released at ICCV 2017. To illustrate and walk you through the process in this post, we use the Fashion200K dataset released at ICCV 2017. A retail company is building a mobile app to help customers buy clothes.

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Towards AI

APRIL 4, 2024

LLMs are machine learning models that have learned from massive datasets of human-generated content, finding statistical patterns to replicate human-like abilities. and AWS via Coursera. I’ve prepared notes on this course that you can download.

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AWS Machine Learning Blog

OCTOBER 16, 2024

With the power of advanced language models and machine learning (ML) algorithms, generative AI can understand the context and intent behind a programmer’s code, offering valuable suggestions, completing code snippets, and even generating entire functions or modules based on high-level descriptions.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. chief data scientist, a role he held under President Barack Obama from 2015 to 2017. Patil served as the first U.S.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

You can easily try out these models and use them with SageMaker JumpStart, which is a machine learning (ML) hub that provides access to algorithms, models, and ML solutions so you can quickly get started with ML. The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security.

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Cambridge Intelligence

OCTOBER 19, 2023

According to Gartner’s 2022 Market Guide for Graph Database Management , native options “may be more applicable for resource-heavy processing involving real-time calculations, machine learning or even standard queries on graphs that have several billions of nodes and edges”.

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Mlearning.ai

AUGUST 6, 2023

I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning. That was in 2017. To put things in context, EfficientNet did not even exist yet, and I was learning tensorflow v1 and theano (to those who have not heard of it, it has no relation to Thanos whatsoever).

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Explosion

AUGUST 1, 2019

Based on the (fairly vague) marketing copy, AWS might be doing something similar in SageMaker. In a recent talk at Google Berlin, Jacob Devlin described how Google are using his BERT architectures internally. The models are too large to serve in production , but they can be used to supervise a smaller production model.

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Flipboard

APRIL 4, 2025

2017) provided the first evidence that RLHF could be economically scaled up to practical applications. 2017) Deep reinforcement learning from human preferences. 2024) Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback. Christiano et al. Rafailov R. Christiano P.

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Dataconomy

APRIL 25, 2023

These tools use machine learning, natural language processing, computer vision, and other AI techniques to provide you with powerful features and functionalities. HubSpot can help you create engaging landing pages, email campaigns, social media posts, and chatbots using natural language processing (NLP) and machine learning (ML).

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Hacker News

AUGUST 16, 2024

Propelix.ai [link] is to Jerry what AWS is to Amazon: a valuable core technology that we are making available to other companies because we believe it can be a very valuable business for us. Jerry was founded in 2017 by serial entrepreneurs and has raised more than $242 million in financing. star rating in the App Store.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. Comet has been trusted by enterprise customers and academic teams since 2017.

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Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

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