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Amazon Textract is now HIPAA eligible
Today, Amazon Web Services (AWS) announced that Amazon Textract, a machine learning service that quickly and easily extracts text and data from scanned documents, is now eligible for healthcare...
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Verifying and adjusting your data labels to create higher quality training...
Building a highly accurate training dataset for your machine learning (ML) algorithm is an iterative process. It is common to review and continuously adjust your labels until you are satisfied that the...
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Managing multi-topic conversation flows with Amazon Lex Session API checkpoints
In daily conversations, you often jump back and forth between multiple topics. For example, when discussing a home improvement project related to new windows and curtains, you might have questions...
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Calculating new stats in Major League Baseball with Amazon SageMaker
The 2019 Major League Baseball (MLB) postseason is here after an exhilarating regular season in which fans saw many exciting new developments. MLB and Amazon Web Services (AWS) teamed up to develop and...
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The AWS DeepRacer League and countdown to the re:Invent Championship Cup 2019
The AWS DeepRacer League is the world’s first autonomous racing league, open to anyone. Announced at re:Invent 2018, it puts machine learning in the hands of every developer in a fun and exciting way....
View ArticleAWS supports the Deepfake Detection Challenge with competition data and AWS...
Today AWS is pleased to announce that it is working with Facebook, Microsoft, and the Partnership on AI on the first Deepfakes Detection Challenge. The competition, to which we are contributing up to...
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US Spanish and Brazilian Portuguese neural voices join Amazon Polly
Amazon Polly turns text into lifelike speech. In July 2019, AWS launched eight US English and three UK English voices in Neural Text-to-Speech (NTTS) technology, which delivers ground-breaking...
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Your guide to artificial Intelligence and machine learning at re:Invent 2019
With less than 40 days to re:Invent 2019, the excitement is building up and we are looking forward to seeing you all soon! Continuing our journey on artificial intelligence and machine learning, we are...
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Optimizing portfolio value with Amazon SageMaker automatic model tuning
Financial institutions that extend credit face the dual tasks of evaluating the credit risk associated with each loan application and determining a threshold that defines the level of risk they are...
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AWS Machine Learning Research Awards Call for Proposal
Academic research and open-source software development are at the forefront of machine learning (ML) technology development. Since 2017, the AWS Machine Learning Research Awards (MLRA) has been aiming...
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Amazon Transcribe now supports speech-to-text in 31 languages
We recently announced that Amazon Transcribe now supports transcription for audio and video for 7 additional languages including Gulf Arabic, Swiss German, Hebrew, Japanese, Malay, Telugu, and Turkish...
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How AWS is putting machine learning in the hands of every developer and BI...
Today AWS announced new ways for you to easily add machine learning (ML) predictions to applications and business intelligence (BI) dashboards using relational data in your Amazon Aurora database and...
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Building an NLP-powered search index with Amazon Textract and Amazon Comprehend
Organizations in all industries have a large number of physical documents. It can be difficult to extract text from a scanned document when it contains formats such as tables, forms, paragraphs, and...
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Automating financial decision making with deep reinforcement learning
Machine learning (ML) is routinely used in every sector to make predictions. But beyond simple predictions, making decisions is more complicated because non-optimal short-term decisions are sometimes...
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Save on inference costs by using Amazon SageMaker multi-model endpoints
Businesses are increasingly developing per-user machine learning (ML) models instead of cohort or segment-based models. They train anywhere from hundreds to hundreds of thousands of custom models based...
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Amazon Forecast now supports the generation of forecasts at a quantile of...
We are happy to announce that Amazon Forecast can now generate forecasts at a quantile of your choice. Launched at re:Invent 2018, and generally available since Aug 2019, Forecast is a fully managed...
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AWS DeepRacer Evo is coming soon, enabling developers to race their object...
Since the launch of AWS DeepRacer, tens of thousands of developers from around the world have been getting hands-on experience with reinforcement learning in the AWS Management Console, by building...
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Introducing Amazon SageMaker Operators for Kubernetes
AWS is excited to introduce Amazon SageMaker Operators for Kubernetes, a new capability that makes it easier for developers and data scientists using Kubernetes to train, tune, and deploy machine...
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Introducing medical speech-to-text with Amazon Transcribe Medical
We are excited to announce Amazon Transcribe Medical, a new HIPAA-eligible, machine learning automatic speech recognition (ASR) service that allows developers to add medical speech-to-text capabilities...
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Amazon Web Services achieves fastest training times for BERT and Mask R-CNN
Two of the most popular machine learning models used today are BERT, for natural language processing (NLP), and Mask R-CNN, for image recognition. Over the past several months, AWS has significantly...
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