Favorite Posted by Aparna Taneja, Software Engineer, and Milind Tambe, Principal Scientist, Google Research, India Research Lab The widespread availability of mobile phones has enabled non-profits to deliver critical health information to their beneficiaries in a timely manner. While advanced applications on smartphones allow for richer multimedia content and two-way
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Shared by Google AI Technology August 24, 2022
Favorite Now with Amazon Forecast, you can seamlessly conduct what-if analyses up to 80% faster to analyze and quantify the potential impact of business levers on your demand forecasts. Forecast is a service that uses machine learning (ML) to generate accurate demand forecasts, without requiring any ML experience. Simulating scenarios
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Shared by AWS Machine Learning August 24, 2022
Favorite Posted by Yilin Wang, Staff Software Engineer, YouTube and Feng Yang, Senior Staff Software Engineer, Google Research Online video sharing platforms, like YouTube, need to understand perceptual video quality (i.e., a user’s subjective perception of video quality) in order to better optimize and improve user experience. Video quality assessment
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Shared by Google AI Technology August 23, 2022
Favorite In this episode, Stefano Maffulli, executive director of the Open Source Initiative, and Alek Tarkowski, strategy director of Open Future Foundation, examine ways that “real life” is being impacted by automated decision making and artificial intelligence. The post Episode 2: Solving for AI’s black box problem first appeared on
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Shared by voicesofopensource August 23, 2022
Favorite Amazon Kendra is an intelligent search service powered by machine learning (ML). With Amazon Kendra, you can easily aggregate content from a variety of content repositories into a centralized index that lets you quickly search all your enterprise data and find the most accurate answer. Many organizations use the
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Shared by AWS Machine Learning August 23, 2022
Favorite It is possible for the members of a Community of Practice to lose trust in the community as an effective support mechanism. Here’s one story of how that happened. Knowledge sharing requires trust, and this is as true in communities of practice as in face to face meetings, or one to
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Shared by Nick Milton August 22, 2022
Favorite Today, a lot of customers are using TensorFlow to train deep learning models for their clickthrough rate in advertising and personalization recommendations in ecommerce. As the behavior of their clients change, they can accumulate large amounts of new data every day. Model iteration is one of a data scientist’s
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Shared by AWS Machine Learning August 20, 2022
Favorite One of the challenges encountered by teams using Amazon Lookout for Metrics is quickly and efficiently connecting it to data visualization. The anomalies are presented individually on the Lookout for Metrics console, each with their own graph, making it difficult to view the set as a whole. An automated,
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Shared by AWS Machine Learning August 19, 2022
Favorite So much data, so little time. Machine learning (ML) experts, data scientists, engineers and enthusiasts have encountered this problem the world over. From natural language processing to computer vision, tabular to time series, and everything in-between, the age-old problem of optimizing for speed when running data against as many
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Shared by AWS Machine Learning August 19, 2022
Favorite Posted by Yutian Chen, Staff Research Scientist, DeepMind, and Xingyou (Richard) Song, Research Scientist, Google Research, Brain Team One of the most important aspects in machine learning is hyperparameter optimization, as finding the right hyperparameters for a machine learning task can make or break a model’s performance. Internally, we
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Shared by Google AI Technology August 18, 2022
Shared by Google AI Technology August 24, 2022
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