Favorite Last month I described a “Pull cycle” for knowledge – let’s now look at the the measures we can introduce to that cycle. You can find a description of the cycle here. This is a cycle based on knowledge demand (unlike the supply-side cycles you normally see) and includes
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Shared by Nick Milton March 27, 2023
Favorite Posted by Boris Babenko, Software Engineer, and Akib Uddin, Product Manager, Google Research Last year we presented results demonstrating that a deep learning system (DLS) can be trained to analyze external eye photos and predict a person’s diabetic retinal disease status and elevated glycated hemoglobin (or HbA1c, a biomarker
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Shared by Google AI Technology March 24, 2023
Favorite This is joint post co-written by Leidos and AWS. Leidos is a FORTUNE 500 science and technology solutions leader working to address some of the world’s toughest challenges in the defense, intelligence, homeland security, civil, and healthcare markets. Leidos has partnered with AWS to develop an approach to privacy-preserving,
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Shared by AWS Machine Learning March 24, 2023
Favorite Posted by Oier Mees, PhD Student, University of Freiburg, and Andy Zeng, Research Scientist, Robotics at Google People are excellent navigators of the physical world, due in part to their remarkable ability to build cognitive maps that form the basis of spatial memory — from localizing landmarks at varying
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Shared by Google AI Technology March 23, 2023
Favorite In this post, we show how to configure a new OAuth-based authentication feature for using Snowflake in Amazon SageMaker Data Wrangler. Snowflake is a cloud data platform that provides data solutions for data warehousing to data science. Snowflake is an AWS Partner with multiple AWS accreditations, including AWS competencies
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Shared by AWS Machine Learning March 23, 2023
Favorite There has been a paradigm change in the mindshare of education customers who are now willing to explore new technologies and analytics. Universities and other higher learning institutions have collected massive amounts of data over the years, and now they are exploring options to use that data for deeper
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Shared by AWS Machine Learning March 23, 2023
Favorite With Amazon Rekognition Custom Labels, you can have Amazon Rekognition train a custom model for object detection or image classification specific to your business needs. For example, Rekognition Custom Labels can find your logo in social media posts, identify your products on store shelves, classify machine parts in an
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Shared by AWS Machine Learning March 23, 2023
Favorite As organizations grow in size and scale, the complexities of running workloads increase, and the need to develop and operationalize processes and workflows becomes critical. Therefore, organizations have adopted technology best practices, including microservice architecture, MLOps, DevOps, and more, to improve delivery time, reduce defects, and increase employee productivity.
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Shared by AWS Machine Learning March 22, 2023
Favorite Amazon SageMaker customers can view and manage their quota limits through Service Quotas. In addition, they can view near real-time utilization metrics and create Amazon CloudWatch metrics to view and programmatically query SageMaker quotas. SageMaker helps you build, train, and deploy machine learning (ML) models with ease. To learn
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Shared by AWS Machine Learning March 22, 2023
Favorite Deforestation is a major concern in many tropical geographies where local rainforests are at severe risk of destruction. About 17% of the Amazon rainforest has been destroyed over the past 50 years, and some tropical ecosystems are approaching a tipping point beyond which recovery is unlikely. A key driver
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Shared by AWS Machine Learning March 22, 2023