Generative Data Intelligence

Tag: decision tree

Quantum advantage in temporally flat measurement-based quantum computation

Michael de Oliveira1,2,3, Luís S. Barbosa1,2,3, and Ernesto F. Galvão3,41University of Minho, Department of Computer Science, Braga, Portugal2INESC TEC, Braga, Portugal3International Iberian Nanotechnology Laboratory...

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Nanowear Announces FDA 510(k) Clearance for AI-enabled Continuous Blood Pressure Monitoring and Hypertension Diagnostic Management: SimpleSense-BP

Utilizing patented nanosensors fueling transformative AI, SimpleSenseTM, is the first wearable platform that enables physicians to securely and accurately offer patients full routine cardiopulmonary...

Build generative AI agents with Amazon Bedrock, Amazon DynamoDB, Amazon Kendra, Amazon Lex, and LangChain | Amazon Web Services

Generative AI agents are capable of producing human-like responses and engaging in natural language conversations by orchestrating a chain of calls to foundation models...

Will Putting a Dollar Value on Vulnerabilities Help Prioritize Them?

When videoconferencing service Zoom searched for a better way to assign a severity to vulnerabilities found during bug bounty programs, the company's security team...

Machine Learning with MATLAB and Amazon SageMaker | Amazon Web Services

This post is written in collaboration with Brad Duncan, Rachel Johnson and Richard Alcock from MathWorks. MATLAB  is a popular programming tool for a...

How Light & Wonder built a predictive maintenance solution for gaming machines on AWS | Amazon Web Services

This post is co-written with Aruna Abeyakoon and Denisse Colin from Light and Wonder (L&W). Headquartered in Las Vegas, Light & Wonder, Inc. is...

Announcing provisioned concurrency for Amazon SageMaker Serverless Inference

Amazon SageMaker Serverless Inference allows you to serve model inference requests in real time without having to explicitly provision compute instances or configure scaling...

This AI Can Design Complex Proteins Perfectly Tailored to Our Needs

Building proteins with AI is like furnishing a house.There are two main strategies. One is the IKEA approach: you buy pre-made pieces that easily...

Implementing SVM and Kernel SVM with Python’s Scikit-Learn

IntroductionThis guide is the first part of three guides about Support Vector Machines (SVMs). In this series, we will work on a forged bank...

AI/ML-driven actionable insights and themes for Amazon third-party sellers using AWS

The Amazon International Seller Growth (ISG) team runs the CSBA (Customer Service by Amazon) program that supports over 200,000 third-party Merchant Fulfilled Network (MFN)...

Using GAMs To Project Progression Of Diabetes

This article is based on the chapter from the Interpretable AI book by Ajay Thampi. Take 35% off Interpretable AI or any other product...

Optimize hyperparameters with Amazon SageMaker Automatic Model Tuning

Machine learning (ML) models are taking the world by storm. Their performance relies on using the right training data and choosing the right model...

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...

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