We’re exploring the role of Open Source in AI

Favorite Deep Dive: AI has officially started! The podcast is live and you should subscribe now so you don’t miss any of the five episodes of this first series. The post We’re exploring the role of Open Source in AI first appeared on Voices of Open Source. Click Here to

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Shared by voicesofopensource August 12, 2022

Build a GNN-based real-time fraud detection solution using Amazon SageMaker, Amazon Neptune, and the Deep Graph Library

Favorite Fraudulent activities severely impact many industries, such as e-commerce, social media, and financial services. Frauds could cause a significant loss for businesses and consumers. American consumers reported losing more than $5.8 billion to frauds in 2021, up more than 70% over 2020. Many techniques have been used to detect

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Shared by AWS Machine Learning August 12, 2022

Rax: Composable Learning-to-Rank Using JAX

Favorite Posted by Rolf Jagerman and Honglei Zhuang, Software Engineers, Google Research Ranking is a core problem across a variety of domains, such as search engines, recommendation systems, or question answering. As such, researchers often utilize learning-to-rank (LTR), a set of supervised machine learning techniques that optimize for the utility

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Shared by Google AI Technology August 11, 2022

How to make app stores friendly to Open Source

Favorite App stores require that Open Source developers constantly jump through ever-changing hoops. This is an unsustainable demand. Read a proposal on how to change that. The post How to make app stores friendly to Open Source first appeared on Voices of Open Source. Click Here to View Original Source

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Shared by voicesofopensource August 11, 2022

Amazon SageMaker Automatic Model Tuning now supports SageMaker Training Instance Fallbacks

Favorite Today Amazon SageMaker announced the support of SageMaker training instance fallbacks for Amazon SageMaker Automatic Model Tuning (AMT) that allow users to specify alternative compute resource configurations. SageMaker automatic model tuning finds the best version of a model by running many training jobs on your dataset using the ranges of

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Shared by AWS Machine Learning August 11, 2022

Efficient Video-Text Learning with Iterative Co-tokenization

Favorite Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research, Brain Team Video is an ubiquitous source of media content that touches on many aspects of people’s day-to-day lives. Increasingly, real-world video applications, such as video captioning, video content analysis, and video question-answering (VideoQA), rely on models that

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Shared by Google AI Technology August 9, 2022