How to measure the pull-based knowledge cycle

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

Detecting novel systemic biomarkers in external eye photos

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

Visual language maps for robot navigation

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

Build custom code libraries for your Amazon SageMaker Data Wrangler Flows using AWS Code Commit

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