Import data from cross-account Amazon Redshift in Amazon SageMaker Data Wrangler for exploratory data analysis and data preparation

Favorite Organizations moving towards a data-driven culture embrace the use of data and machine learning (ML) in decision-making. To make ML-based decisions from data, you need your data available, accessible, clean, and in the right format to train ML models. Organizations with a multi-account architecture want to avoid situations where

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Shared by AWS Machine Learning June 23, 2022

Visual inspection automation using Amazon SageMaker JumpStart

Favorite According to Gartner, hyperautomation is the number one trend in 2022 and will continue advancing in future. One of the main barriers to hyperautomation is in areas where we’re still struggling to reduce human involvement. Intelligent systems have a hard time matching human visual recognition abilities, despite great advancements

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Shared by AWS Machine Learning June 22, 2022

Quantum Advantage in Learning from Experiments

Favorite Posted by Jarrod McClean, Staff Research Scientist, Google Quantum AI, and Hsin-Yuan Huang, Graduate Student, Caltech In efforts to learn about the quantum world, scientists face a big obstacle: their classical experience of the world. Whenever a quantum system is measured, the act of this measurement destroys the “quantumness”

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Shared by Google AI Technology June 22, 2022

How AI creates photorealistic images from text

Favorite Have you ever seen a puppy in a nest emerging from a cracked egg? What about a photo that’s overlooking a steampunk city with airships? Or a picture of two robots having a romantic evening at the movies? These might sound far-fetched, but a novel type of machine learning

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Shared by Google AI Technology June 22, 2022

Identify mangrove forests using satellite image features using Amazon SageMaker Studio and Amazon SageMaker Autopilot – Part 1

Favorite The increasing ubiquity of satellite data over the last two decades is helping scientists observe and monitor the health of our constantly changing planet. By tracking specific regions of the Earth’s surface, scientists can observe how regions like forests, water bodies, or glaciers change over time. One such region

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Shared by AWS Machine Learning June 21, 2022

Identify mangrove forests using satellite image features using Amazon SageMaker Studio and Amazon SageMaker Autopilot – Part 2

Favorite Mangrove forests are an import part of a healthy ecosystem, and human activities are one of the major reasons for their gradual disappearance from coastlines around the world. Using a machine learning (ML) model to identify mangrove regions from a satellite image gives researchers an effective way to monitor

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Shared by AWS Machine Learning June 21, 2022

Google at CVPR 2022

Favorite Posted by Shaina Mehta and Kristen Borg, Program Managers This week marks the beginning of the premier annual Computer Vision and Pattern Recognition conference (CVPR 2022), held both in-person in New Orleans, LA and virtually. As a leader in computer vision research and a Platinum Sponsor, Google will have a strong

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Shared by Google AI Technology June 21, 2022