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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale. This is where advanced log analysis comes into play.

Scripts 74
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

The Retrieve and RetrieveAndGenerate APIs allow your applications to directly query the index using a unified and standard syntax without having to learn separate APIs for each different vector database, reducing the need to write custom index queries against your vector store.

APIs 115
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Patient Engagement Mobile Apps: On Guard of Health

CSM Magazine

The global healthcare IT market is growing, poised to reach $1.8 As the number of smartphone users grows, so does its application in healthcare. A patient engagement mobile app has the potential to revolutionize healthcare delivery. Increased engagement: apps can make healthcare more engaging and interactive for patients.

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“ID + Selfie” – Improving digital identity verification using AWS

AWS Machine Learning

The COVID-19 global pandemic has accelerated the need to verify and onboard users online across several industries, such as financial services, insurance, and healthcare. The Amazon Rekognition CompareFaces API. For this, we use the Amazon Rekognition CompareFaces API. The default value is NONE. Solution overview.

APIs 74
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Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets

AWS Machine Learning

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools.

Marketing 103
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Automatically generate impressions from findings in radiology reports using generative AI on AWS

AWS Machine Learning

For a quantitative analysis of the generated impression, we use ROUGE (Recall-Oriented Understudy for Gisting Evaluation), the most commonly used metric for evaluating summarization. In order to run inference through SageMaker API, make sure to pass the Predictor class.

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Detect real and live users and deter bad actors using Amazon Rekognition Face Liveness

AWS Machine Learning

Financial services, the gig economy, telco, healthcare, social networking, and other customers use face verification during online onboarding, step-up authentication, age-based access restriction, and bot detection. They also estimate the user’s age using facial analysis before allowing access to age-restricted content.

APIs 78