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

Welcome to Deep Dive AI

Favorite With AI systems being so complex, concepts like “program” or “source code” in the Open Source Definition are challenged in new and surprising ways. The post Welcome to Deep Dive AI first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)

Optimal pricing for maximum profit using Amazon SageMaker

Favorite This is a guest post by Viktor Enrico Jeney, Senior Machine Learning Engineer at Adspert. Adspert is a Berlin-based ISV that developed a bid management tool designed to automatically optimize performance marketing and advertising campaigns. The company’s core principle is to automate maximization of profit of ecommerce advertising with

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Shared by AWS Machine Learning August 5, 2022

Reflecting on SCaLE 19x

Favorite We spent this past weekend in Los Angeles at the SCaLE 19X conference and it… The post Reflecting on SCaLE 19x first appeared on Voices of Open Source. Click Here to View Original Source (opensource.org)

Introducing the Google Universal Image Embedding Challenge

Favorite Posted by Bingyi Cao, Software Engineer, Google Research, and Mário Lipovský, Software Engineer, Google Lens Computer vision models see daily application for a wide variety of tasks, ranging from object recognition to image-based 3D object reconstruction. One challenging type of computer vision problem is instance-level recognition (ILR) — given

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Shared by Google AI Technology August 4, 2022

Promote feature discovery and reuse across your organization using Amazon SageMaker Feature Store and its feature-level metadata capability

Favorite Amazon SageMaker Feature Store helps data scientists and machine learning (ML) engineers securely store, discover, and share curated data used in training and prediction workflows. Feature Store is a centralized store for features and associated metadata, allowing features to be easily discovered and reused by data scientist teams working

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Shared by AWS Machine Learning August 4, 2022