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Consensus and subjectivity of skin tone annotation for ML fairness

Favorite Posted by Candice Schumann, Software Engineer, and Gbolahan O. Olanubi, User Experience Researcher, Google Research Skin tone is an observable characteristic that is subjective, perceived differently by individuals (e.g., depending on their location or culture) and thus is complicated to annotate. That said, the ability to reliably and accurately

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Shared by Google AI Technology May 15, 2023

Unlock Insights from your Amazon S3 data with intelligent search

Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra reimagines enterprise search for your websites and applications so your employees and customers can easily find the content they’re looking for, even when it’s scattered across multiple locations and content repositories within your organization. Keywords

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Shared by AWS Machine Learning May 12, 2023

AI-powered code suggestions and security scans in Amazon SageMaker notebooks using Amazon CodeWhisperer and Amazon CodeGuru

Favorite Amazon SageMaker comes with two options to spin up fully managed notebooks for exploring data and building machine learning (ML) models. The first option is fast start, collaborative notebooks accessible within Amazon SageMaker Studio—a fully integrated development environment (IDE) for machine learning. You can quickly launch notebooks in Studio,

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Shared by AWS Machine Learning May 12, 2023

Enabling conversational interaction on mobile with LLMs

Favorite Posted by Bryan Wang, Student Researcher, and Yang Li, Research Scientist, Google Research Intelligent assistants on mobile devices have significantly advanced language-based interactions for performing simple daily tasks, such as setting a timer or turning on a flashlight. Despite the progress, these assistants still face limitations in supporting conversational

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Shared by Google AI Technology May 12, 2023

100 things we announced at I/O 2023

Favorite Google I/O 2023 was filled with news and launches — here are 100 things announced at I/O. View Original Source (blog.google/technology/ai/) Here.

Announcing new Jupyter contributions by AWS to democratize generative AI and scale ML workloads

Favorite 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. The Jupyter Notebook, first released in 2011, has become a de facto standard tool used by millions of users worldwide across every possible academic, research, and

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Shared by AWS Machine Learning May 10, 2023