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New Series: Creating Media with Machine Learning

The Netflix TechBlog

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?from

Media 239
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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

Systems 226
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How To Implement Video Information and Editing APIs in Java

DZone

It must be said that this video traffic phenomenon primarily owes itself to modernizations in the scalability of streaming infrastructure, which simply weren’t present fifteen years ago.

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Tech Transforms podcast: Web 3.0, gamification, CIA innovation, getting ahead of the adversary – March 2022

Dynatrace

Mike Gruss – Editor-in-chief at Sightline Media Group. Eric Trexler – VP of Global Governments and Critical Infrastructure Sales at Forcepoint. Follow Sandy on social media for the latest updates! Mike Gruss, Editor-in-chief at Sightline Media Group, has eyes on all news related to DOD.

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Designing Instagram

High Scalability

User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. media search index, locations search index, and so forth) in future. For instance, the LikeEvent can be read by the Media Counter Service and is used to update the media count in the data storage.

Design 334
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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Integrating neural networks into our next-generation encoding platform The Encoding Technologies and Media Cloud Engineering teams at Netflix have jointly innovated to bring Cosmos , our next-generation encoding platform, to life. Within a Stratum function invocation, our deep downscaler is applied prior to encoding.

Network 292
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The new normal of digital experience delivery – lessons learned from monitoring mission-critical websites during COVID-19

Dynatrace

Over the last two month s, w e’ve monito red key sites and applications across industries that have been receiving surges in traffic , including government, health insurance, retail, banking, and media. Media p erformance . Watching media sites including CNN, Fox News, and CNBC has been very interesting.

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