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Favorite Posted by Matt Barnes, Software Engineer, Google Research Routing in Google Maps remains one of our most helpful and frequently used features. Determining the best route from A to B requires making complex trade-offs between factors including the estimated time of arrival (ETA), tolls, directness, surface conditions (e.g., paved,
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Shared by Google AI Technology September 12, 2023
Favorite Google.org is funding 15 projects that will use AI to make progress on the UN’s Sustainable Development Goals. View Original Source (blog.google/technology/ai/) Here.
Favorite Amazon SageMaker Domain supports SageMaker machine learning (ML) environments, including SageMaker Studio and SageMaker Canvas. SageMaker Studio is a fully integrated development environment (IDE) that provides a single web-based visual interface where you can access purpose-built tools to perform all ML development steps, from preparing data to building, training,
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Shared by AWS Machine Learning September 11, 2023
Favorite Today, we are excited to announce that the Falcon 180B foundation model developed by Technology Innovation Institute (TII) is available for customers through Amazon SageMaker JumpStart to deploy with one-click for running inference. With a 180-billion-parameter size and trained on a massive 3.5-trillion-token dataset, Falcon 180B is the largest
Read More Shared by AWS Machine Learning September 11, 2023
Favorite The Open Source Definition isn’t directly applicable to AI systems, so global experts will gather to establish shared principles to protect the values of Open Source during this period of hyper growth in AI technology. SAN FRANCISCO – September 11, 2023 – Open Source Initiative (OSI), the non-profit corporation
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Shared by voicesofopensource September 11, 2023
Favorite Posted by Edith Cohen and Uri Stemmer, Research Scientists, Google Research Differential privacy (DP) is a rigorous mathematical definition of privacy. DP algorithms are randomized to protect user data by ensuring that the probability of any particular output is nearly unchanged when a data point is added or removed.
Read More Shared by Google AI Technology September 8, 2023
Favorite This post is co-written with Travis Bronson, and Brian L Wilkerson from Duke Energy Machine learning (ML) is transforming every industry, process, and business, but the path to success is not always straightforward. In this blog post, we demonstrate how Duke Energy, a Fortune 150 company headquartered in Charlotte,
Read More Shared by AWS Machine Learning September 8, 2023
Favorite Digital publishers are continuously looking for ways to streamline and automate their media workflows in order to generate and publish new content as rapidly as they can. Publishers can have repositories containing millions of images and in order to save money, they need to be able to reuse these
Read More Shared by AWS Machine Learning September 8, 2023
Favorite For modern companies that deal with enormous volumes of documents such as contracts, invoices, resumes, and reports, efficiently processing and retrieving pertinent data is critical to maintaining a competitive edge. However, traditional methods of storing and searching for documents can be time-consuming and often result in a large effort
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Favorite Posted by Shantanu Shahane, Software Engineer, and Matthias Ihme, Research Scientist, Athena Team Turbulence is ubiquitous in environmental and engineering fluid flows, and is encountered routinely in everyday life. A better understanding of these turbulent processes could provide valuable insights across a variety of research areas — improving the
Read More Shared by Google AI Technology September 7, 2023