Favorite Data preparation is a principal component of machine learning (ML) pipelines. In fact, it is estimated that data professionals spend about 80 percent of their time on data preparation. In this intensive competitive market, teams want to analyze data and extract more meaningful insights quickly. Customers are adopting more
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Shared by AWS Machine Learning December 8, 2022
Favorite Posted by Alexis Morvan and Trond Andersen, Research Scientists, Google Quantum AI When quantum computers were first proposed, they were hoped to be a way to better understand the quantum world. With a so-called “quantum simulator,” one could engineer a quantum computer to investigate how various quantum phenomena arise,
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Shared by Google AI Technology December 8, 2022
Favorite The success of any machine learning (ML) pipeline depends not just on the quality of model used, but also the ability to train and iterate upon this model. One of the key ways to improve an ML model is by choosing better tunable parameters, known as hyperparameters. This is
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Shared by AWS Machine Learning December 7, 2022
Favorite In previous blog post, we described an end-to-end identity verification solution in a single AWS Region. The solution uses the Amazon Rekognition APIs DetectFaces for face detection and CompareFaces for face comparison. We think of those APIs as stateless APIs because they don’t depend on an Amazon Rekognition face
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Shared by AWS Machine Learning December 7, 2022
Favorite Posted by Krishna Giri Narra, Software Engineer, Google, and Chiyuan Zhang, Research Scientist, Google Research Ad technology providers widely use machine learning (ML) models to predict and present users with the most relevant ads, and to measure the effectiveness of those ads. With increasing focus on online privacy, there’s
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Shared by Google AI Technology December 7, 2022
Favorite Posted by Malaya Jules, Program Manager, Google This week, the premier conference on Empirical Methods in Natural Language Processing (EMNLP 2022) is being held in Abu Dhabi, United Arab Emirates. We are proud to be a Diamond Sponsor of EMNLP 2022, with Google researchers contributing at all levels. This
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Shared by Google AI Technology December 7, 2022
Favorite With the growth and popularity of online social platforms, people can stay more connected than ever through tools like instant messaging. However, this raises an additional concern about toxic speech, as well as cyber bullying, verbal harassment, or humiliation. Content moderation is crucial for promoting healthy online discussions and
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Shared by AWS Machine Learning December 6, 2022
Favorite Google’s Startups for Sustainable Development program supports impact-driven startups who are building a more sustainable future. View Original Source (blog.google/technology/ai/) Here.
Favorite Posted by Katja Filippova, Research Scientist, and Sebastian Ebert, Software Engineer, Google Research, Brain team Modern machine learning models that learn to solve a task by going through many examples can achieve stellar performance when evaluated on a test set, but sometimes they are right for the “wrong” reasons:
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Shared by Google AI Technology December 6, 2022
Favorite There’s more to Mastodon than just replacing Twitter. ActivityPub has the potential to end the reign of monetized surveillance with a switch to user-owned applications. The post The Fediverse unlocks a world of composable distributed apps first appeared on Voices of Open Source. Click Here to View Original Source
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Shared by voicesofopensource December 6, 2022